Sql python jobs in Newark, New Jersey - Page 6Create job alerts

Job Description Good Apple is an independent agency driving an average +30% efficiency while making lives 100% easier. Built on the belief that big agency bureaucracy isn't necessary to drive scalable results, Good Apple operates as that group of friends you love to collaborate with whether you are an employee, agency, publisher, or client partner. As an Apple, you have a unique opportunity to truly create the destiny and pathway that fuels you each day and drives you to deliver the best results for yourself as well as your clients. As a Data Analyst, you will act as a strategic partner to your clients and media team, solving complex problems through metrics and analysis. Our Data Analysts have a curious, logical mindset with an interest in advertising and digital marketing analytics, working internally across disciplines to deliver the most impactful integrated media solution for our clients. Key Responsibilities: • Collaborate with internal teams to translate business needs into measurement plans and their implementations via website/ad-server tracking setups and data flows, • Democratize data and insights through data integration and the use of visualization tools, • Work with media teams to create marketing plans and ensure measurement requirements are built into the media structure, • Turn business requirements into metrics and implement tracking solutions to measure those metrics, • Learn what makes an effective media plan so you can be the voice of the data for the media teams and clients to guide media planning and optimization, • Build dashboards and supporting SQL database setups for weekly, monthly, and quarterly reports and analyses for clients, • Provide ad-hoc data science-driven regression analyses that discover the connections not discernible from a dashboard or spreadsheet, • Create clean, effective, and actionable presentations for clients and internal teams, • Excellent analytical skills and the ability to plainly communicate results to clients and internal teams, • Lead and contribute to processes (technical or business) improvements for reporting and analysis, • Bachelor's Degree with 3.0 or higher GPA or equivalent work experience, • 0-2 years of marketing or analytics experience, • Creative problem-solving skills and clear communication of results to a non-technical audience, • Excellent communication skills to both internal teams and clients – presenting to clients is an expectation, • Fast learner, comfortable using advanced SQL, experience working with data pipelines, understanding data architecture, • Experience working with 3rd party media tools such as Google Campaign Manager, data visualization tools (Looker, Tableau), Cloud DBs (Snowflake, Redshift), Pipeline tools (Rivery, Fivetran), and AI platforms (Data Robot, Dataiku), • Familiarity with tag managers, tagging implementation, website architecture, and CMS platforms is a plus, • Meticulous attention to detail, • Background in a logic-based field or experience in a logic-focused role is ideal, • Experience with Amazon Web Services is a plus Z8TdorkT0r

Job Description Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient's request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you're stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. Senior Software Engineer The Role As a Senior Software Engineer, you will lead major initiatives that advance Datavant's platform scalability and reliability. You'll drive technical design, coach peers, and ensure system-wide quality and consistency. What You'll Do • Own architectural design and end-to-end delivery for key systems or migrations., • Partner with Product, Infrastructure, and Security teams to set technical direction., • Design scalable microservices and guide system decomposition initiatives., • Drive performance optimization, observability, and reliability improvements., • Backend: Python, Go, Java; microservices; REST and GraphQL, • Frontend: TypeScript, React, Next.js, • Infrastructure & Cloud: AWS (EC2, S3, IAM, Lambda), Docker, Kubernetes; IaC tools, • Data: Snowflake, Spark, SQL; S3 for raw data, • ETL & Pipelines: Airflow/Glue, • Streaming: Kafka or Kinesis, • Observability: DataDog, Grafana, CloudWatch, • Security: OAuth2/SAML, encryption, tokenization, zero-trust architectureWhat You Bring, • 6+ years of professional experience developing and scaling distributed systems., • Deep expertise in system design, cloud-native architectures, and backend frameworks., • Proven record of leading major technical projects from inception to launch., • Strong collaboration with cross-functional teams (Product, Design, Infrastructure, Security)., • Inspire confidence through technical expertise and build talent through thoughtful mentorship., • Balance innovation with pragmatic execution and long-term maintainability., • Act with humility, integrity, and focus on team success., • Drive alignment between engineering goals and business outcomes.Core Value Expectations, • Earn trust through high-quality architectural decisions and transparent leadership., • Obsess over customers by prioritizing reliable, secure, scalable systems., • Prioritize growth over comfort by tackling complex, ambiguous technical challenges., • Win as a team by facilitating alignment and resolving cross-team challenges. We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is:$180,000—$220,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role The Analytics & Data Engineering team owns all post-transactional data operations that turn raw data into insights. We design and operate ETL pipelines, data warehouses, transformations, and analytics tooling that power reporting, experimentation, and decision-making across Charlie Health. Our focus is on reliability, scalability, and making data accessible and actionable for the entire organization. As a Senior Data Engineer on this team, you'll be a core technical contributor. You will build and own significant parts of our data infrastructure, driving pipeline reliability and warehouse quality. You'll work across a modern data stack to ensure that Charlie Health's data is timely, accurate, performant, secure, and trusted. If you're energized by the opportunity to expand access to mental healthcare and make a meaningful impact on millions of lives from the data and pipelines you support, we'd love to hear from you. Responsibilities • Build, release, and maintain high-quality ELT pipelines using Fivetran and DBT, with a strong emphasis on correctness, observability, and performance., • Orchestrate complex data workflows using Dagster and DBT, ensuring reliable and well-monitored execution., • Own meaningful areas of our data warehouse, Snowflake, designing well-modeled, performant schemas, and maintaining clear documentation of data definitions and lineage., • Resolve critical data issues independently and proactively identify and address bottlenecks before they impact downstream consumers., • Contribute to architectural decisions and technical design discussions, bringing well-reasoned, data-driven recommendations to the team., • Support analytics delivery through Hex and Tableau, collaborating with stakeholders to ensure data is accessible and actionable., • Help the team level up by authoring documentation, sharing learnings, and contributing to a culture of craft and continuous improvement., • Bachelor's degree in Computer Science, Mathematics, or a related technical discipline, or equivalent practical experience., • 5+ years of experience in Engineering, with at least 3 years in a Data Engineering role., • Deep expertise in analytical use cases of SQL, including CTEs, window functions, aggregation patterns, and performance tuning techniques such as partitioning and clustering., • Strong proficiency in Python, including experience with common data engineering libraries., • Hands-on experience with a modern data stack, • Demonstrated ability to take ownership of loosely-defined problems, breaking them into well-scoped tasks, driving them to completion, and communicating tradeoffs clearly., • Experience working with sensitive data in a regulated environment., • Experience with our specific tools (Fivetran, Dagster, Snowflake, DBT, Hex, and Hightouch) is a strong plus., • Experience working with Analytics Engineering practices, • Previous healthcare technology experience, • Experience leveraging AI tools for developmentBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $150,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role The Analytics & Data Engineering team owns all post-transactional data operations that turn raw data into insights. We design and operate ETL pipelines, data warehouses, transformations, and analytics tooling that power reporting, experimentation, and decision-making across Charlie Health. Our focus is on reliability, scalability, and making data accessible and actionable for the entire organization. As a Senior Data Engineer on this team, you'll be a core technical contributor. You will build and own significant parts of our data infrastructure, driving pipeline reliability and warehouse quality. You'll work across a modern data stack to ensure that Charlie Health's data is timely, accurate, performant, secure, and trusted. If you're energized by the opportunity to expand access to mental healthcare and make a meaningful impact on millions of lives from the data and pipelines you support, we'd love to hear from you. Responsibilities • Build, release, and maintain high-quality ELT pipelines using Fivetran and DBT, with a strong emphasis on correctness, observability, and performance., • Orchestrate complex data workflows using Dagster and DBT, ensuring reliable and well-monitored execution., • Own meaningful areas of our data warehouse, Snowflake, designing well-modeled, performant schemas, and maintaining clear documentation of data definitions and lineage., • Resolve critical data issues independently and proactively identify and address bottlenecks before they impact downstream consumers., • Contribute to architectural decisions and technical design discussions, bringing well-reasoned, data-driven recommendations to the team., • Support analytics delivery through Hex and Tableau, collaborating with stakeholders to ensure data is accessible and actionable., • Help the team level up by authoring documentation, sharing learnings, and contributing to a culture of craft and continuous improvement., • Bachelor's degree in Computer Science, Mathematics, or a related technical discipline, or equivalent practical experience., • 5+ years of experience in Engineering, with at least 3 years in a Data Engineering role., • Deep expertise in analytical use cases of SQL, including CTEs, window functions, aggregation patterns, and performance tuning techniques such as partitioning and clustering., • Strong proficiency in Python, including experience with common data engineering libraries., • Hands-on experience with a modern data stack, • Demonstrated ability to take ownership of loosely-defined problems, breaking them into well-scoped tasks, driving them to completion, and communicating tradeoffs clearly., • Experience working with sensitive data in a regulated environment., • Experience with our specific tools (Fivetran, Dagster, Snowflake, DBT, Hex, and Hightouch) is a strong plus., • Experience working with Analytics Engineering practices, • Previous healthcare technology experience, • Experience leveraging AI tools for developmentBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $150,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionAbout xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are looking for a Senior Data Scientist to join our Compliance Program and play a pivotal role in modernizing and strengthening our financial crime detection capabilities. You will architect, build, and optimize data-driven transaction monitoring models, coverage assessment frameworks, and advanced analytics solutions that directly support BSA/AML regulatory compliance, including but not limited to SAR filing, Customer Identification Program elements, and Enhanced Due Diligence measures. The role will also support the OFAC Sanctions, Fraud and overall risk prioritization across multiple products and jurisdictions. This is a high-impact, cross-functional role that blends advanced analytics, machine learning, and deep compliance domain expertise. You will work closely with Compliance, Engineering, Model Risk, Product, and external regulators to ensure our controls are robust, defensible, and scalable. RESPONSIBILITIES: • Design, develop, and enhance AML and fraud models, rules, and heuristics using Python, SQL, and AI-enabled tooling; partner with the Compliance Machine Learning team on model reviews to improve detection rates and reduce false positives., • Build and maintain interactive performance dashboards and automated reporting solutions that track key risk, productivity, and capacity metrics for senior leadership and regulators., • Architect and implement enterprise-wide Transaction Monitoring Coverage Assessment frameworks, including standardized methodologies for gap identification, root-cause analysis, remediation planning, and ongoing sustainability monitoring., • Lead complex data initiatives, including extraction of SAR filing metrics with product-level breakdowns and development of jurisdiction- and typology-specific SAR narrative generator tools., • Embed data science best practices into product launches and feature rollouts to proactively identify and close monitoring coverage gaps., • Support regulatory examinations (e.g., NYDFS Part 504) by preparing analytical documentation, third-party validation materials, and executive certification packages., • Drive continuous improvement of compliance operations through automation, process optimization, and advanced analytics.BASIC QUALIFICATIONS:, • 7+ years of hands-on data science / advanced analytics experience in financial services, with at least 4 years focused on fraud and financial crime compliance., • Master's degree (or higher) in Applied Mathematics, Statistics, Data Science, Actuarial Science, or a related quantitative field., • Proven track record of building and optimizing transaction monitoring models, coverage frameworks, or compliance analytics programs in a regulated environment (fintech, bank, or payment company preferred)., • Deep understanding of BSA/AML regulations, suspicious activity reporting, customer due diligence, sanctions screening, and model risk management principles., • Demonstrated ability to translate complex regulatory requirements into actionable data solutions and present findings to senior leadership and regulators., • Certified Anti-Money Laundering Specialist (CAMS) or equivalent compliance certification is strongly preferred.PREFERRED SKILLS AND EXPERIENCE:, • Experience leading cross-functional initiatives involving Engineering, Legal, Product Compliance, and external consulting partners., • Background in building internal case management systems, SAR automation tools, or RPA solutions., • Familiarity with AML detection platforms. Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. ITAR REQUIREMENTS:

Job DescriptionTitle: SR. ENGINEER APPLICATION SUPPORTLocation: New York, New York Job Description:On the Application Support team, we support the core application platforms, troubleshoot and analyze issues reported by internal and external users, and assist in the resolution or escalation process.We support Client X Back Office, Front Office, Middle Office, Private Equity, Investor Services, and Treasury teams. As a result, an in-depth knowledge of technical and financial products is a must. While the support team has established processes and problem-solving guidelines, there will be situations where there are no guidelines and therefore the ability to be innovative is a key requirement.This is a great opportunity to gain a diverse understanding of the technical aspect of the financial services industry.Responsibilities: • Document new processes and guidelines., • Automate daily business processes using multiple applications, such as Tidal Scheduler., • Administer Application user accounts., • Resolve issues and requests logged by the application users in an effective manner., • We’re a Level 2 Support team and an Escalation point to Level 1 Service Desk Team, receiving priority incident calls, emails and messages., • Troubleshoot bugs, identify gaps in the system for development and propose workable solutions., • Escalate bugs and code defects to the development organization., • Query database tables to assist in the resolution of issues and requests., • Modify and Troubleshoot Excel Maps using Excel Functions and VBA., • Programmatically analyze and update python and PowerShell scripts., • Analysis infrastructure issues and requests propose solutions and collaborate with infrastructure teams., • Incident Manager responsibilities for Application related outages., • Develop inter-application understanding of our systems and provide value in operational and strategic team discussions., • On-Call Weekend rotation and Holiday rotation coverage., • Active participant in Application Support Projects and Tasks. Requirements:, • Bachelor’s Degree with a Technical focus., • Minimum 5 years of technical support experience, with 2 years in the financial industry and supporting proprietary applications., • Strong verbal/written communication skills, attention to detail and well organized., • Accounting and financial product knowledge., • Experience supporting Accountants and Traders., • Strong analytical and problem-solving skills and the ability to break an issue into its constituent parts and understand how these parts relate to each other, • Experience as a team leader experience, serving as an internal escalation point and building solutions., • Programming Language Syntax: MS SQL, Python, XML, PowerShell Scripting, Java., • Ability to automate using scripting language., • Experience using regular expression., • Support MS Windows Server 2008 or higher., • Experience supporting UNIX environments., • Experience supporting SunGard Front Arena., • Experience supporting web applications and troubleshooting within the web browser., • Understanding and experience in a Citrix and VMWare environment., • Preferred Certifications: SQL, MCSA, ITIL

Job Description Be Part Of A High-Performing Team: Join a leading global financial institution recognized for its strong presence in corporate banking, investment banking, and financial services innovation. The technology division plays a critical role in driving data transformation initiatives across the Americas, supporting enterprise-scale systems and regulatory environments. This team operates in a fast-paced, highly collaborative environment focused on modernizing data infrastructure, improving data accessibility, and enabling advanced analytics across the organization. What's In Store For You: • Engagement: W2 only (no C2C/1099), • Opportunity to work on large-scale enterprise data platforms within a global financial services environment, • Exposure to modern cloud-based data engineering tools and frameworks, • Design, build, and maintain scalable ETL pipelines to support enterprise data initiatives, • Develop and optimize data workflows for ingestion, transformation, and storage, • Ensure data quality, integrity, and consistency across multiple data sources, • Collaborate with cross-functional teams including analytics, infrastructure, and business stakeholders, • Enhance performance and efficiency of data systems and storage solutions, • 5–7 years of experience in data engineering, ETL development, or data platform engineering, • Strong proficiency in Python and SQL for data processing and pipeline development, • Hands-on experience with cloud data tools such as AWS Glue, Azure Data Factory, or similar platforms, • Experience working with large-scale data environments and optimizing data workflows, • Solid understanding of data modeling, data warehousing, and data quality best practices, • Ability to troubleshoot data issues and implement scalable solutions, • Strong communication skills and ability to work in a hybrid team environment

Job Description Data Analyst (Entry-Level) Location: New York, NY Experience Level: 0–3 years About the Company We are a fast-growing SMB lending company focused on providing flexible financing solutions to small and medium-sized businesses. Our team leverages data-driven insights to make smart, fast, and responsible lending decisions that help businesses grow. Role Overview We are looking for a highly motivated, detail-oriented Data Analyst to join our team. This role is ideal for someone early in their career who enjoys working with numbers, identifying patterns, and turning raw data into meaningful insights that drive business decisions. You will play a key role in analyzing loan performance, underwriting data, and operational metrics to support lending strategy and improve overall efficiency. Key Responsibilities • Analyze large datasets related to loan applications, approvals, and performance, • Identify trends, risks, and opportunities within lending data, • Build and maintain reports and dashboards for internal stakeholders, • Assist in underwriting analysis and risk assessment models, • Clean, organize, and validate data to ensure accuracy and consistency, • Collaborate with operations, sales, and leadership teams to support data-driven decisions, • Monitor key performance indicators (KPIs) and provide actionable insights Qualifications • Bachelor’s degree in Finance, Economics, Mathematics, Data Analytics, or a related field, • 0–3 years of experience in data analysis or a similar role (internships included), • Strong proficiency in Excel (required); experience with SQL, Python, or BI tools (Tableau, Power BI) is a plus, • Analytical mindset with strong attention to detail, • Ability to interpret data and communicate findings clearly, • Comfortable working in a fast-paced, entrepreneurial environment What We’re Looking For • Someone who enjoys digging into data and solving problems, • Naturally curious and eager to learn, • High ownership and accountability, • Strong work ethic and willingness to grow with the company Why Join Us • Opportunity to work directly with leadership and impact key decisions, • Hands-on experience in the fintech and SMB lending space, • Fast-paced environment with real growth potential, • Collaborative and entrepreneurial team culture

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do: CoreWeave is seeking a Manager, Energy & Power Transaction Management to lead on transaction oversight, operational execution, and lifecycle management for CoreWeave's power and energy procurement activities. This role is critical to ensuring that complex energy transactions — from contract execution through ongoing performance — are implemented accurately, governed effectively, and scalable as CoreWeave continues to grow. This position sits between front-office deal execution and back-office settlement and accounting, partnering closely with Energy Markets, Legal, Treasury, Corporate Finance, Accounting, Data Center Operations, and external counterparties. The ideal candidate brings deep experience in powerenergy transactions,exceptional attention to detail, strong process discipline, and the ability to build structure in a fast-growing environment. About the role:Transaction Management & Execution • Own and manage energy transaction and data platforms, ensuring accurate data flows, user adoption, and integration with internal finance, procurement, and reporting systems as needed., • Own the end-to-end transaction management of energy and power procurement agreements following commercial execution., • Serve as the primary internal point of coordination to transition deals from execution into implementation and operations., • Ensure contractual terms are accurately reflected in internal systems, models, and operational workflows., • Develop and maintain transaction reporting, portfolio dashboards, and management summaries to provide visibility into energy procurement status, costs, and risk positions., • Assist with origination and negotiation of new transactions, leveraging operational and settlement expertise to inform deal structuring, identify downstream implementation risks, and ensure commercial terms are operationally executable.Contract & Lifecycle Oversight, • Manage ongoing administration of energy contracts, including ISDAs, EEIs, ESAs, CSAs, PPAs, tolling agreements, and utility service agreements., • Track key commercial terms such as pricing, volumes, capacity commitments, escalation, milestones, and termination provisions., • Calculate, verify, and reconcile physical and financial trade settlements, ensuring accuracy of volumes, pricing, and contractual terms., • Monitor compliance with contractual obligations and coordinate issue resolution with internal teams and counterparties.Controls, Process, & Governance, • Design and implement middle office controls, documentation standards, and approval workflows for energy transactions., • Develop repeatable processes to support scale, risk management, and audit readiness., • Partner with Legal, Accounting, and Finance to ensure alignment with internal policies and external regulatory requirements., • Work closely with Treasury, Corporate Finance, Accounting, Legal, Data Center Operations, and Construction & Design., • Translate commercial contract terms into operational, financial, and accounting implications., • Interface with utilities, IPP, trading counterparties, and third-party service providers on contract execution, amendments, and operational matters., • Coordinate post-signing activities including notices, milestone tracking, and ongoing performance management.Who You Are:, • 7+ years of experience in energy transaction management, middle office operations, power procurement, project finance operations, or a related field., • Deep understanding of power and energy contracts, including ESAs, CSAs, PPAs, and utility agreements., • Proven experience managing complex, long-term infrastructure or energy transactions post-execution., • Strong process orientation with experience building controls and scalable workflows., • Ability to operate independently and drive cross-functional alignment in a fast-paced environment., • Demonstrated ability to analyze financial impacts of energy transactions, including mark-to-market valuations, accruals, and cash flow implications.Preferred:, • Experience supporting data center, hyperscale, or large industrial energy procurement., • Familiarity with energy market operations (ISOs/RTOs), settlement processes, and regulatory frameworks., • Exposure to risk management, credit, or collateral processes in energy markets., • Experience implementing transaction management systems or contract lifecycle management tools., • You love to bring structure to complex energy transactions and ensure deals are implemented accurately from execution through ongoing operations., • You're curious about how strong controls, scalable processes, and disciplined lifecycle management can improve energy procurement as CoreWeave grows. At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionResponsibilities • Lead the Machine Learning and Applied Science team through strategic roadmaps to support business initiatives with high impact., • Guide the teams technically, engaging in architecture definition, implementation of best practices, and troubleshooting when needed., • Mange the team through all phases of machine learning development, from concept and design to deployment and monitoring., • Stay ahead of state-of-the-art research and industry trends in machine learning, computer vision, pricing algorithms, and related fields., • Collaborate with other Engineering and Product teams to evaluate requirements and use cases for new systems., • Invest in the career development of the team members, develop future leaders, and create a culture of cohesion and teamwork., • Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels., • Establish metrics to measure the productivity of the team, hold people accountable and identify people issues early.Requirements and Qualifications, • PhD or MS in Computer Science, Statistics, Operations Research or a relevant quantitative discipline. PhD is strongly preferred., • 5+ years of industry experience, with at least 1+ years of experience leading machine learning teams preferably in computer vision or pricing domain., • 2+ years of experience as a hands-on senior, staff, or principal engineer with demonstrated end-to-end ownership of a machine learning project before transitioning into managing teams., • Expert level knowledge in Python and SQL for model development and statistical analysis., • Proficiency in ML frameworks such as TensorFlow, PyTorch, or scikit-learn., • Proficiency in edge computing, distributed systems, and cloud platforms (e.g., AWS, GCP, Azure)., • Strong foundation in data structures, algorithms, and optimization techniques., • Experience with common program management (MS Project, Visio, etc.) and productivity (Confluence, Jira, etc.) tools., • Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences., • Previous experience working inside innovative, high-growth environments is a plus., • Publications or patents in relevant fields such as machine learning, computer vision, or optimization is a plus.Company DescriptionStaffSource is committed to creating long-term partnerships where we can truly affect both clients’ and candidates’ lives for the better. Our success is rooted in matching talented professionals with environments that suit their goals, personalities, lifestyles, and skills. A perfect placement allows candidates to thrive in their new role and hiring managers to fill their openings with top talent that aligns with both the needs of their team and the company’s culture. Founded in 2003, StaffSource now has a 20+ year company history with business units operating within Information Technology, Accounting and Finance, Sales, Executive Search and more. Still headquartered in Knoxville, TN and lead by our founder John Sharpe, we are now serving clients and candidates all across the United States. We conduct national, regional, and localized talent searches based on the specific needs of each client and the unique goals of top talent everywhere.StaffSource is committed to creating long-term partnerships where we can truly affect both clients’ and candidates’ lives for the better. Our success is rooted in matching talented professionals with environments that suit their goals, personalities, lifestyles, and skills. A perfect placement allows candidates to thrive in their new role and hiring managers to fill their openings with top talent that aligns with both the needs of their team and the company’s culture.\r\n\r\n Founded in 2003, StaffSource now has a 20+ year company history with business units operating within Information Technology, Accounting and Finance, Sales, Executive Search and more. Still headquartered in Knoxville, TN and lead by our founder John Sharpe, we are now serving clients and candidates all across the United States. We conduct national, regional, and localized talent searches based on the specific needs of each client and the unique goals of top talent everywhere.

Job Description MetTel is a global communications solutions provider with the most complete suite of fully managed services that focus on secure connectivity, and network and mobility services. We simplify communications and networking for business and government agencies. Our customers include many of the Fortune 500, and Gartner recognizes us as an industry leader. We have the broadest portfolio of technology and integrated partnerships, as well as our private network, which we use to create tailored solutions design, deployment, and ongoing management, driving cost savings, efficiency, innovation, and the ability to focus on core objectives. We believe that each team member is a key to the success and sustainability of the group. In order to achieve this, we offer an environment where all professionals can grow and develop their skills and competencies, collaborate with diverse professionals, share knowledge and enjoy a rewarding career. MetTel is looking for a Software Development Engineer in Test (SDET) to join our QA Operations team! As a Software Development Engineer in Test, you will be part of our QA team working in an Agile Environment to ensure we release the software applications and features with the best quality possible along with continuous and fast quality improvement and delivery cycles. ROLE AND RESPONSIBILITIES: • Must be confident with leadership skills; able to work independently., • Perform functional, API, performance testing, usability testing, regression testing, security testing, etc., • Build test cases/suites design, develop automation scripts and framework. Apply black box and white box testing techniques., • Participate in test strategy, test cases/suites design, automation framework design strategy discussions with QA lead and other QA team members., • Participate in release management, responsible for the high quality of our product for whole Software Development Life Cycle (SDLC), • Participate in defect management, responsible for reporting, analysis, tracking the defect with its full life cycle., • 5 years hands-on experience in a QA role and experience with Agile methodologies., • Bachelor's degree or higher in Information Systems, Computer Science, Computer Engineering or related field, or foreign equivalent required., • Be passionate about Software QA Testing. Understanding the importance of testing during the software development process., • Automation testing (Selenium) and hands on functional testing including API, performance, usability, regression test, etc., • Hands-on development experience, deep understanding of one or more programming languages and OOP principles (C#/Java/Python/JavaScript)., • Knowledgeable of continuous integration tools and build pipelines (CI/CD, TeamCity, Jenkins, Git), • Solid foundation in web application fundamentals, including development or testing experience and a keen understanding of web technologies., • Strong analytical skills. Have the ability to find the root cause of the problem., • Experience with test suites/test case, • Experience performing code scans/code review is a plus., • Knowledge and experience of using JIRA Bug Tracking tools and Test Management tools., • Knowledgeable of application frameworks and/or front-end frameworks (.NET, React, Spring, Angular, Django) is preferred., • Experience writing code for back-end, API, or front-end testing is preferred., • Good verbal and written communication skills. Ability to write clear anomaly reports., • Completed the ISTQB foundation level certification/ISTQB Agile Tester certification preferred, • Knowledge of SQL is required., • Release management experience preferred., • Detail-oriented. Keywords: #SoftwareDevelopmentEngineerinTest, #SDET, SDET, #Developerintest, Developer in test, #QualityEngineer, #QualityAssuranceTesting, Quality Assurance Testing, #SoftwareEngineer, SoftwareEngineer, #Automationtesting, Automation testing, #Selenium, Selenium, #APITesting, APITesting, #QAOperations, QAOperations, #SDLC, SDLC, #SQL, SQL, #NYC, NYC, New York City, #LinkedInJobs MetTel is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. To learn more about our company visit us at

Job Description G MASS Consulting are partnered with a leading Hedge Fund, as they seek a Trade Surveillance professional to join its Compliance and Surveillance team in New York. This role is ideal for someone who combines hands-on trade surveillance experience with strong data manipulation and transformation skills in SQL (and some Python). This exciting role has a combination of BAU surveillance responsibilities, as well as process and data transformation initiatives to enhance detection capabilities, data quality, and automation. Responsibilities: • Perform daily trade surveillance reviews, investigating potential market abuse, insider trading, and other trading anomalies across multiple asset classes., • Monitor and triage alerts from surveillance systems, escalating issues where necessary., • Conduct deep-dive investigations into trading behaviour and document findings in line with compliance procedures., • Maintain and refine existing surveillance scenarios and thresholds to improve detection accuracy., • Use SQL (and some Python) to extract, transform, and analyse large trading datasets for enhanced surveillance coverage., • Collaborate with technology teams to optimise data feeds, logic, and infrastructure supporting surveillance tools., • Support data transformation projects aimed at improving automation, system scalability, and alert quality., • Assist with periodic reviews, regulatory requests, and audit queries., • 4+ years’ experience in trade surveillance, compliance monitoring, or control functions at a leading hedge fund (preferred), asset manager, or investment bank., • Strong SQL skills with the ability to extract, clean, and manipulate large and complex datasets., • Familiarity with Python for data analysis, scripting, or process automation., • Understanding of global market abuse regulations and surveillance practices across asset classes. Salary: to be discussed, based on experience Length: 12 months, with the likelihood of extension.

Job DescriptionBenefits: • 401(k), • 401(k) matching, • Health insurance Join a vibrant community of passionate individuals who share your drive to make a real impact. At Ember Group Consulting, we believe in fostering collective growth, not just igniting transformations. Our collaborative environment is a breeding ground for innovation. Here, you'll learn from a wealth of perspectives among industry experts, develop new skills, and push your boundaries alongside inspiring colleagues. Become a catalyst for positive change and be part of something bigger than yourself. We spark the opportunity; you ignite your career at Ember Group Consulting. Why Ember Group Consulting? Because we ignite more than just transformations for our clients, we ignite careers for our people. At Ember Group Consulting, we're a people-centric consulting firm that values the spark within each individual. We believe in fostering a collaborative environment where you can: Learn alongside industry experts: Gain invaluable knowledge by working side-by-side with our team of highly skilled consultants. Develop new skills: We offer continuous learning opportunities to help you stay ahead of the curve and reach your full potential. Push your boundaries: Embrace challenges and contribute to impactful projects that drive positive change for our clients. Manager/Senior Manager- Full- Stack Engineer We are seeking an experienced Full Stack Engineering Consultant in Charlotte or NYC. Responsibilities: Collaborate with clients to understand business requirements and translate them into technical specifications across the full stack Implement front-end components and applications that consume APIs effectively Ensure API security, performance, and scalability through best practices Create comprehensive API documentation for both internal teams and external stakeholders Build automation tools for testing, deployment, and monitoring of API infrastructure Provide technical guidance and mentorship to client development teams Troubleshoot and resolve API integration issues across various platforms Optimize existing APIs for maximum efficiency and throughput Stay current with emerging API standards and technologies Develop and maintain data visualizations and reports to inform business decisions, leveraging expertise in analytics tools and statistical modeling. Analyze complex data sets to identify trends, optimize processes, and drive strategic business outcomes. Qualifications: Bachelor's degree in Computer Science, Software Engineering, or related field 5+ years of experience in full stack development with significant focus on API development Strong proficiency in front-end technologies (JavaScript, TypeScript, React, Angular, or Vue) Proven expertise in back-end development (Node.js, Python, Java, or .NET) Experience with API design patterns, RESTful services, and GraphQL Knowledge of database technologies (SQL and NoSQL) and data modeling Familiarity with API testing frameworks and performance optimization techniques Understanding of OAuth, JWT, and other authentication/authorization protocols Experience with containerization (Docker) and orchestration (Kubernetes) Strong communication skills to effectively translate technical concepts to non-technical stakeholders Problem-solving mindset with attention to detail

Job DescriptionUS Mobile is on a mission to revolutionize connectivity. Imagine a world where you can go into a single app and buy terabytes of data for every one of your devices: phone, smart devices, car, home broadband, and more. That’s the future that US Mobile is building: a software platform built truly for the 21st century and the age of 5G and IoT, with world class engineering, best-in-class user experience, and features that will define the next generation of connectivity. At the core of it all, we have a team and culture that has been recognized by Forbes as one of the top 500 best startup employers in the US. Our team spans diverse backgrounds, cultures, and stories, with employees coming from 20+ countries. We’re a venture-backed company entering hypergrowth, having recently ranked 94th on Inc 5000’s fastest-growing private companies in America, and we’re looking for someone exceptional to join our team. We are looking for a proactive and detail-driven Analytics Engineer to connect the worlds of data analysis and data engineering. In this role, you will design, develop, and refine data pipelines to transform raw data into meaningful insights that empower marketing, operations, and decision-making teams. If you’re passionate about analytics, automation, and building scalable solutions, we’d love to hear from you.Job Description • Work closely with engineering teams to design and develop data structures that enable deeper analysis., • Demonstrate expertise in the analytics engineering development cycle, including data modeling, version control, documentation, testing, and ensuring codebase best practices., • Build visually compelling, high-performance reporting and dashboards using tools like Tableau, Looker, or similar BI platforms to provide valuable insights from large datasets., • Create and optimize data models and schemas to support self-serve analytics and ensure data integrity., • Collaborate with business stakeholders to influence data-driven decision-making, proactively uncovering meaningful patterns and insights.Qualifications, • 4+ years of professional experience in analytics engineering, data engineering, or data science., • Strong understanding of data architecture, including building scalable pipelines and optimizing storage solutions for analytical workflows (e.g., S3, Redshift, Snowflake, BigQuery).Strong understanding of data engineering principles, including ETL / ELT processes., • Hands-on experience with data orchestration tools (e.g., Airflow) and data modeling frameworks (e.g., dbt)., • Proficiency in Python or a similar scripting language for data processing and analysis., • Strong expertise in SQL, including experience with data modeling and adherence to database design best practices., • Proven ability to create impactful reports and dashboards using business intelligence tools such as Tableau and Looker., • Experienced in a fast-paced, constantly improving, startup environment that focuses on solving problems with iterative technical solutions.Benefits, • Competitive salary, • Flexible working hours, • Supplemental health insurance, • Professional development stipend

Job Description OUR MISSION We exist to create a more connected, compassionate, and confident experience for people with cancer and those who care for them. We make it easier to get answers, access high-quality care quickly, and feel supported throughout treatment and beyond. Today, Thyme Care is a market-leading value-based oncology care enabler, partnering with national and regional health plans, providers, and employers to deliver better outcomes and lower costs for thousands of people across the country. Our model combines high-touch human support with powerful technology and AI to bring together everyone involved in a person's cancer journey: caregivers, oncologists, health plans, and employers. As a tech-native organization, we believe technology should strengthen the human connection at the center of care. Through data science, automation, and AI, we simplify complexity, improve collaboration, and help care teams focus on what matters most: supporting people through cancer. Looking ahead, our vision is bold: to become a household name in cancer care, where every person diagnosed asks for Thyme Care by name. If you're inspired to make cancer care more human and to help reimagine what's possible, we'd love to meet you. Together, we can build a future where every person with cancer feels truly cared for, in every moment that matters. WHAT YOU'LL DO As a Data Integration Engineer on our Data Ingestion & Care Enablement (DICE) team, you'll be part of the horizontal layer that keeps partner and vendor data flowing reliably into Thyme Care. In this position, you will collaborate closely with our Product Manager and other Data teammates focused on data ingestion and analytics engineering. You'll work across many deals and data sources, supporting Data Scientist deal owners by making ingestion consistent, debugging failures, and raising the reliability bar through better tests, monitoring, and data contracts. In the course of your work you should also expect to: • Gain a deep understanding of our data platform and contribute to improving our data models and pipelines using SQL, dbt, and python (generally data-focused packages, e.g., pandas, polars), • Support ingestion of a wide range of healthcare-related sources (claims, eligibility, prior auth, ADT, etc.) by, • Configuring net-new ingestions (parsing file specs, validating assumptions, communicating inconsistencies), • Debugging issues in ongoing ones, • Helping standardize our processes and pipelines, • Collaborate with data scientist deal owners and internal stakeholders to turn messy, ambiguous requirements into concrete mapping/validation logic and durable data contracts, • Use Dagster and GitHub Actions to orchestrate and automate the early stages of our data pipelines, improving run reliability and reducing manual intervention, • Work hands-on with raw data using Jupyter Notebooks in Databricks to investigate data issues, validate assumptions, and unblock processing, • Design and support incremental data loads (append/merge/upsert patterns) and safe reprocessing (idempotent runs, late-arriving data, backfills), • Learn to use Datadog and PagerDuty to monitor pipelines, triage incidents during business hours, communicate impact clearly, and drive root-cause fixes to prevent recurrences, • Strong SQL skills, • Familiarity with dbt (and an interest in ramping up your expertise), including working in larger/complex projects, • Working knowledge of Python for data investigation in notebooks, • Experience operating data pipelines: debugging failures, tracing issues across systems, and communicating clearly about root cause and mitigation, • Experience with testing and data quality: writing and maintaining tests and using failures/alerts to drive durable fixes, • Responsiveness and the ability to stay calm and organized when triaging failing ingestion runs or pipelines, • Willingness to learn new domains and tools quickly (new partner file formats, evolving standards, Databricks), and apply feedback without ego, • The ability to engage technical and non-technical stakeholders to explain what's happening in our pipelines and identify opportunities to improve transparency and alerting, • Act with our members in mind. Thyme Care's mission, and in particular our member experience, matters deeply to you., • Move with purpose. You're biased to action. You know how to identify and prioritize your initiative's needs, and do what it takes to ensure that urgent and important needs are acted on immediately., • Seek diverse perspectives. You are humble and actively seek feedback from others, eager to learn and share knowledge., • Reliability mindset. You treat recurring failures as solvable system problems and systematically reduce them with testing and automation., • Practical judgment. You know when to ship a safe fix now vs. invest in a sturdier improvement, and you document the why., • Clear collaboration. You work smoothly with DS, PM, and Platform counterparts, understanding competing priorities and turning ambiguity into concrete next steps. At Thyme Care, our core values guide us in everything we do: Act with our members in mind, Move with purpose, and Seek diverse perspectives. They anchor our business decisions, including how we grow, the products we make, and the paths we choose—or don't choose. Our salary ranges are based on paying competitively for our size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Thyme Care. Individual pay decisions are based on several factors, including qualifications, experience level, skillset, and balancing internal equity relative to other Thyme Care employees. The base salary for this role is $139,500-$155,000. The salary range could be lower or higher than this if the role is hired at another level. We recognize a history of inequality in healthcare. We're here to challenge the status quo and create a culture of inclusion through the care we give and the company we build. We embrace and celebrate a diversity of perspectives in reflection of our members and the members we serve. We are an equal-opportunity employer. Be cautious of recruitment fraud, and always confirm that communications are coming from an official Thyme Care email.

Job DescriptionBustle Digital Group (BDG) is looking for a talented Data Engineer to join our growing data team. You will work alongside the Director of Data Engineering to build, optimize, and scale our data infrastructure, supporting the development of data-driven products and insights that power our advertising, affiliate sales, and editorial content strategies. This is a fantastic opportunity to work with large-scale data pipelines, cutting-edge technologies, and a dynamic team that values innovation and impact.What You'll Do • Develop & Maintain Data Pipelines: Build scalable and efficient ETL pipelines to support analytics, reporting, and machine learning initiatives., • Optimize Data Storage & Performance: Work with large datasets to improve storage solutions, query performance, and data accessibility., • Collaborate Cross-Functionally: Partner with engineering and business teams to develop data solutions that enhance advertising, affiliate sales, and editorial insights., • Ensure Data Quality & Reliability: Implement monitoring, validation, and governance processes to maintain the integrity and security of our data., • Contribute to Data Strategy: Support the Director of Data Engineering in designing and implementing scalable data architectures and best practices.Who You Are, • Experienced Data Engineer: 2+ years of experience working with data infrastructure, ETL processes, and large-scale datasets., • Proficient in SQL & Python: Strong knowledge of SQL for querying and manipulating data, and experience with Python for scripting and automation., • Cloud & Big Data Savvy: Hands-on experience with cloud platforms (AWS, GCP, or Azure), data warehouses (BigQuery, Redshift, Snowflake), and distributed processing (Spark, Airflow, or similar)., • Experience working data generating frontends in React and TypeScript., • Problem Solver & Innovator: Passionate about solving complex data challenges and improving system efficiency., • Team Player & Communicator: Strong collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.BDG Benefits, • Competitive Compensation: Market-based salary with annual reviews., • Unlimited PTO: Take the time you need to recharge and stay productive., • Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents., • Retirement Savings: 401(k) plan.

Job Description About Us: Versana is an industry-backed data and technology company on a mission to transform the syndicated loan market. By digitally capturing agent banks’ data on a real-time basis, Versana provides unprecedented transparency into loan-level details and portfolio positions, bringing efficiency and velocity to the entire market. Through our platform, participants can rest assured they are accessing the loan market’s most credible source of deal information. About You: Versana is looking for a motivated mid-level Data Platform Engineer to join our team. This role is primarily focused on data engineering, with a secondary responsibility in reporting and dashboard delivery. Your mission is to transform operational (OLTP) data from multiple source systems into clean, analysis-ready (OLAP) datasets using our lakehouse medallion architecture. You will work closely with seasoned technology leaders, and colleagues with diverse experience in a dynamic, agile environment. You’ll mentor team members through code reviews, pairing, documentation, and knowledge-sharing practices. You’ll both share your engineering expertise with colleagues and learn from their deep domain knowledge. You’ll help standardize data transformations and testing, and drive CI/CD practices, all while improving performance, reliability, and observability. Key Responsibilities:Data Engineering (Primary): • Design, implement, and operate ELT pipelines to ingest data into the lakehouse., • Apply Medallion architecture and semantic layering to deliver curated datasets., • Build and maintain durable data lakes sourced from operational systems, including sustainable ingestion, schema evolution, storage formats, partitioning, and performance., • Secure data at rest and in transit by enforcing governance policies, including regular access reviews and auditability., • Establish and enforce standards for data quality, observability/alerting, and lineage; uphold daily/hourly SLAs for critical reports and datasets., • Drive CI/CD for data code reviews, documentation, and environment promotion; mentor and unblock teammates. Reporting & Analytics (Secondary): • Create and maintain tabular models and dataflows; optimize dataset refreshes, query performance, and usability., • Partner with Product to translate requirements into robust models, metrics, and dashboards; collaborate with Application Developers on data contracts and change management for upstream systems.• Support operational monitoring and alerting; ensure timely, trusted reporting for leadership and clients., • Triage and fulfill ad-hoc data requests while improving self-service patterns and documentation.Must Haves:• B.S. or B.A in Computer Science or related field., • 5–7 years in data engineering or analytics engineering., • Strong SQL and practical experience with dbt for transformations and testing., • Hands-on experience with data modeling and performance optimization., • Professional coding experience with both Java and Python., • Experience operating data ware/lake-houses and building semantic layers., • Familiarity with CI/CD (DataOps), version control, and environment promotion., • Data quality, observability, and alerting experience with a focus on SLAs and stakeholder trust., • Experience with external client reporting, embedded analytics, and multi-tenant considerations (modeling, partitioning, access controls)., • Demonstrated ability to mentor or coach in software engineering practices., • Effective communication and requirement gatheringNice to Haves:• Cost/performance tuning across data ware/lake-housing, query engines, BI tools; caching strategies and aggregation design., • Data documentation, lineage, and cataloging practices; strong habits around reproducibility and testing., • Apply report design and visualization best practices (effective layouts, clear metric definitions, consistent interactions, and performant SQL+DAX queries) to deliver executive\u0002ready dashboards.

Job Description Job Title: Senior Consultant, Data Engineer Work Style/ Location: Hybrid (3 days in office), NY or DC Type: Full-Time Sector: Data, AI & Analytics Position Overview BizFirst is supporting our client in identifying a Data Engineer to join a growing consulting team working across industries, clients, and technologies. This role is best suited for a strong mid-level data engineer who can help translate business needs into practical technical solutions. We're open to two equally strong profiles: a Data Engineer with external consulting experience, or an internal Data Engineer who has worked directly with business stakeholders such as Marketing, Sales, and Product to define requirements and support the buildout of data platforms and solutions. Our client is a fast-growing global data and AI consultancy with operations across three continents and 140+ consultants serving 70+ enterprise clients. They've built a consultant-first culture with a proprietary learning academy, paid certifications, and deep partnerships with platforms like Snowflake, Databricks, and Google Cloud. The US office combines the credibility of an established global brand with the energy of a New York startup. Your Career, Accelerated You're not just taking a job, you're investing in your growth. You'll work across industries and client engagements that stretch your thinking. You'll have access to proprietary playbooks and toolkits that fast-track your success on projects. And you'll always have a principal consultant who has your back, not just be thrown into the deep end. What You'll Do • Work with clients, internal teams, and business stakeholders to understand data needs and translate them into practical technical solutions, • Help design and deliver modern data platforms, including cloud migrations, data models, and scalable analytics foundations, • Build and maintain data ingestion, transformation, and orchestration workflows as part of broader platform solutions, • Contribute to reliable, secure, and cost-effective data environments across cloud ecosystems, • Languages & Frameworks: Python, SQL, Spark, • Data Platforms: BigQuery, Snowflake, Databricks, or similar modern platforms, • Transformation & Ingestion: dbt, Coalesce, Fivetran, Terraform, or similar tools, • Cloud: GCP; Azure, GCP, AWS What We're Looking For We're open to people at different experience levels and career stages. We're on the hunt for people who love solving problems, thinking critically, and staying curious. The right person for this role brings a mix of technical depth, platform adaptability, and the ability to work effectively across technical and business teams: • 4+ years of experience in data engineering or modern data platform delivery, • Bachelor's degree in a technical field, • Strong fundamentals in data modeling, data architecture, and platform migration, • Hands-on experience with modern data platforms or cloud ecosystems, • Ability to gather requirements, work directly with clients or internal stakeholders, and translate business needs into technical solutions, • Demonstrated experience working cross-functionally with stakeholders such as Marketing, Sales, and Product, • Comfortable building data workflows while also thinking through the broader platform, architecture, and stakeholder picture, • Ability to balance working independently and being a strong teammate in a fast-moving environment, • Curiosity and a genuine interest in learning new tools, patterns, and approaches These aren't requirements, but if any of these describe you, we'd love to hear about it: • Experience with data architecture design, governance, or platform modernization, • Certifications in any of the key platforms or tools, such as SnowPro, dbt, GCP Professional Data Engineer, or Databricks, • Exposure to ML pipelines, MLOps, or AI-adjacent data engineering Perks & Benefits Your work matters, and so do you. Here's what's waiting: • Proprietary learning academy with 100+ custom modules, • Mentoring program with a Senior Support Lead, • 360-degree progress reviews with real feedback, not fluff, • Guilds, regular training, and peer learning, • Paid certifications across all major platforms, • Hackathons and innovation days, • Kudos and recognition programs, • Socials, book clubs, Data & Drinks, and team building days About BizFirst BizFirst is a recruiting firm built for companies that got tired of being account #47. We place talent across AI and data, GovCon, finance and operations, and telecom infrastructure. Every search is led by a senior Delivery Lead managing just 3 to 4 clients total. The result: candidates in days, a single point of contact from kickoff to placement, and a 94% retention rate past 90 days.

Job Description About Atria Atria is a membership-based preventive health care practice delivering cutting-edge primary and specialty care in New York, South Florida, Los Angeles (2026), and through 24/7 telemedicine globally. Our multi-specialty team of 60+ top in-house physicians provides proactive, preventive, and precision-based care for Atria members and their families. We aim to optimize lifespan and healthspan through meticulous screening, leading-edge therapeutics, and tailored interventions designed to prevent disease and detect it at the earliest possible stages. Each member's care is led by a dedicated Chief Medical Officer who collaborates with specialists in cardiology, neurology, pediatrics, women's health, endocrinology, integrative health, performance and movement, nutrition, and more. Through our nonprofit Atria Research Institute and Public Health Institute, we also work to accelerate the translation of medical breakthroughs and expand access to preventive care for as many people as possible. Atria Health is seeking a Senior Software Engineer for our Data Engineering team to support engineering efforts across our data infrastructure, pipelines, and analytics platforms. This senior individual contributor role is responsible for designing and building scalable data systems, mentoring engineers, and partnering with domain product teams (Clinical Experience, Member Experience, and Care Delivery) to deliver reliable, high-quality data that powers insights and decision-making. Your work will directly enable Atria’s long term research ambitions and enable our physicians to derive novel clinical insights. You'll own complex data initiatives from design through implementation while establishing best practices that elevate the entire engineering organization. Tech Stack • Languages: Python, SQL, • Data Processing: Dagster, dbt, • Infrastructure: Google Cloud Platform, Terraform, Kubernetes, Docker, • Data Storage: Snowflake, PostgreSQL, MySQL, • Streaming: Pub/Sub, Kafka, • CI/CD: GitHub Actions, • Monitoring & Observability: Datadog, Grafana, OpenTelemetryKey ResponsibilitiesData Infrastructure & Pipelines, • Design, build, and maintain scalable data pipelines and ETL/ELT workflows, • Help to own and improve our data warehouse architecture in Snowflake, • Implement data modeling best practices to support analytics and reporting needs, • Drive data quality initiatives, including validation, testing, and monitoring frameworksCross-Team Collaboration, • Partner with product engineering teams to design data contracts and integrate data capture into applications, • Work closely with Analytics and Business Intelligence teams to understand reporting needs and deliver reliable data products, • Collaborate with Security and Compliance to implement data governance and privacy best practices, • Partner with Product and Engineering leadership on data strategy and technical roadmapsSupport Research and Clinical, • Collaborate with Clinicians and Clinical Researchers to ensure they have the data available to deliver on their projects and support patient care, • Work with our Analysts to decrease latency, improve testability and integrate with de-identification providers to meet our goals and regulatory needsMentorship & Culture, • Mentor and coach more junior data engineers, fostering growth and technical development, • Establish and document data engineering standards, patterns, and best practices Compensation: $190,000-$250,000 Requirements Required • 7+ years of software engineering experience, with 3+ years focused on data engineering, • Deep experience with cloud data platforms, such as Snowflake and BigQuery, • Proficiency with data pipeline orchestration tools (Airflow, Dagster, or similar), • Strong SQL skills and experience with data modeling and warehouse design, • Experience with data transformation tools such as dbt or Spark, • Demonstrated ability to lead technical initiatives and influence without direct authority, • Excellent communication skills and ability to translate complex technical concepts for varied audiencesPreferred, • Experience in healthcare technology or other regulated industries, • Familiarity with streaming data architectures and real-time processing, • Experience building and scaling data quality and observability platforms, • Track record of improving data accessibility and self-service analytics capabilities At Atria, we are proud to offer every member of the Atria team: • Excellent health and wellness benefits, 100% paid by Atria effective date of hire, • OneMedical membership for employees & dependents giving access to 24/7 virtual care, • Fertility & family planning, • Company-covered preventive health screenings through partner hospitals (Calcium score), • Fitness Perks including Wellhub +, • 401k contributions and 4% match starting after 6 months, • Flexible Time Off, • Continuing medical education (CME) and CEU support for professional licensure, • Time to give back and make an impact in underserved communities

Job Description MetTel is a global communications solutions provider with the most complete suite of fully managed services that focus on secure connectivity, and network and mobility services. We simplify communications and networking for business and government agencies. Our customers include many of the Fortune 500, and Gartner recognizes us as an industry leader. We have the broadest portfolio of technology and integrated partnerships, as well as our private network, which we use to create tailored solutions design, deployment, and ongoing management, driving cost savings, efficiency, innovation, and the ability to focus on core objectives. We believe that each team member is a key to the success and sustainability of the group. In order to achieve this, we offer an environment where all professionals can grow and develop their skills and competencies, collaborate with diverse professionals, share knowledge and enjoy a rewarding career. We are seeking a highly motivated and experienced Senior Software Engineer to join our Bruin Software Engineering Team in NYC! The Senior Software Engineer will lead a major platform modernization — migrating a complex legacy enterprise web applications to a modern, maintainable code stack. You will work directly with Claude Code (Anthropic's AI-powered engineering tool) as a core part of your workflow, directing it to generate and validate code while applying your own judgment on architecture and quality. We work across the full stack — cloud infrastructure, APIs, databases, and frontend — and we move fast. We value engineers who take ownership, think deeply, and deliver. ROLE AND RESPONSIBILITIES: • Migration Leadership: Own the end-to-end rewrite of a production enterprise web application to a modern stack (NestJS, React/TypeScript, Temporal.io), executing module by module with backwards compatibility to the existing MSSQL database., • AI-Augmented Engineering: Use Claude Code as a primary tool — directing it to generate, refactor, and validate code while applying your judgment to review output and make architectural decisions., • Full-Stack Development: Build across backend (Javascript, Python, NestJS/Node.js), frontend (React + TypeScript), and data layers (TypeORM + Microsoft SQL Server)., • Workflow Engineering: Migrate legacy BPT-style process flows to Temporal.io, including long-running processes, human task queues, timers, and conditional logic., • API & Integration: Design and maintain RESTful APIs with OpenAPI/Swagger documentation. Manage clean contracts between new and legacy modules during transition., • Cloud & DevOps: Deploy and manage solutions on AWS, Azure, or GCP. Implement and maintain CI/CD pipelines, IaC, and containerised deployments (Docker, Kubernetes)., • Code Quality: Establish engineering standards for the new codebase, conduct code reviews, and write well-tested, maintainable code., • Must be a strong engineer with the fundamentals and judgment to work effectively alongside AI tooling., • 5+ years of professional software engineering with a track record of delivering production systems., • Strong TypeScript/JavaScript and Node.js experience; NestJS or similar backend framework., • Solid React experience building complex, data-driven web applications., • Relational database experience and proficiency with ORM frameworks; MSSQL a strong plus., • Cloud platform experience (AWS, Azure, or GCP) and hands-on DevOps — CI/CD, containerisation (Docker, Kubernetes)., • Comfort reading and reasoning about systems you didn't build — legacy codebase analysis is central to this role., • Openness to AI-assisted development tools (Claude Code, Copilot, Cursor, or similar) as a core part of your engineering workflow., • C# or other strongly-typed backend language experience., • Data pipeline experience (Apache Airflow, Apache Flink, Kafka, or similar)., • Workflow/orchestration engine experience (Temporal.io, Conductor, or similar)., • Figma familiarity — able to work directly from design files without handoff friction., • Experience migrating from a low-code or legacy enterprise platform., • Certifications in AWS, Azure, GCP, or Kubernetes. *The salary range reflected is a good faith estimate of base pay for the primary location of the position. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay for this position ranges from $150,000.00 to $180,000.00 annually. Pay varies by work location and may also depend on job -related knowledge, skills, experience and abilities of the successful candidate. Your recruiter can share more about the specific salary range for the job location during the hiring process. Keywords: #NYC, NYC, #NewYorkCity, New York City, NewYorkCity, Senior Software Engineer, #SeniorSoftwareEngineer, #Manhatten, #ClaudeCode, Claude Code, ClaudeCode, #FullStack, Full Stack, #React, React, #Node.js, Node.js, #Typescript, Typescript, Microsoft SQL Server, #MicrosoftSQLServer, #Telecom, Telecom, #Troubleshoot, #Design, #Engineering, #Javascript MetTel is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. To learn more about our company visit us at

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: As a Senior Data Engineer at Hinge, you will create essential data processes and contribute to components of a modern data pipeline that will be the foundation of Hinge’s decision-making ability. The systems you help create, the problems you help solve, and the support of our analytical minds, will be pivotal to the success of Hinge. Your work will enable the organization to make data-driven decisions and drive improvements, which will affect the love lives of millions of people. As a Senior Data Engineer on the team, you will be improving core functionality and implementing critical pipelines that will not only aid the Data Engineering team but also the rest of the organization. You will be working on an actual big data architecture while concentrating on real-world problems.Responsibilities: • Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers., • Improve our Data Engineering stack through containerization, data modeling, developing our ETL pipelines, and more., • Use your expertise in data modeling to design, build, and maintain our analytics data warehouse, which provides clean, accurate, and robust data sets that can be leveraged for reporting, analytics, and machine learning initiatives., • Work with stakeholders and translate their needs and expectations into action items and deliverables., • Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines., • Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations.What We're Looking For:, • 5+ years of professional/industry experience, • Proficient in Python, SQL, DevOps, and databases., • 5+ years of professional/industry experience., • Experience delivering data products from conception to delivery and with the infrastructure that supports their underlying processes., • Experience modeling data sets for different types of sources and business processes., • Passionate about designing elegant data infrastructure, tooling, and pipelines. #Hinge .

Job DescriptionOur Company Arch is a Series B financial technology company that automates the management of private investments, improving access, understanding, and the human experience of investing across asset classes. Private investments such as venture capital, hedge funds, and private equity, make up roughly 25% of the investment universe. Traditionally, investors, advisors, banks, families, and managers track hundreds of investments in complicated spreadsheets, file folders, and busy inboxes. Not only is this tedious and time-consuming, but it is rife with opportunity for manual data entry errors, inconsistent reporting, and lost information. Enter, Arch. Arch delivers standardized data, documents, and insights in a single platform, avoiding the need to chase information across dozens or hundreds of ‘portals’. Our purpose is to save investors’ time while empowering them to make more informed investment decisions, leading to better financial outcomes. We are a fast-growing, dynamic team of 200+, serving over 400 clients, including several of America’s largest banks, families, and financial institutions. We’ve over doubled the size of the company every year since inception and we are looking to hire in all departments as we scale. About the Role We are looking to hire a Senior Manager, Data Operations to lead and scale the data services function within Arch's data organization. In this role, you will lead a team responsible for extracting, analyzing, and delivering data from Arch's platform for business use. You'll formalize processes, establish operational cadences, and build the foundation for a scalable data services function that enables teams across the company to operate more effectively. This role is key to solving the company's most difficult operational data challenges, including problems that don't neatly fall into product or engineering and require strong business judgment to navigate. You will investigate root causes, determine whether solutions are possible, and drive the work through completion. You'll serve as a bridge between technical teams and internal stakeholders, advising on data processes and best practices while ensuring projects move forward and deliver meaningful outcomes. The ideal candidate enjoys solving complex problems, is comfortable operating in ambiguous environments, and takes full ownership of projects from initial idea through delivery. Your responsibilities will include: * Owning and scaling Arch's data services function, including the team responsible for extracting and delivering data from the platform for business use across the organization. * Leading high-impact internal data initiatives that help Arch operate more intelligently, including projecting data volume, building out dashboards, establishing regular reporting cadences, and identifying operational insights. * Driving end-to-end delivery of data projects, from identifying the problem and determining feasibility to building or coordinating the solution and ensuring successful implementation. * Partnering closely with teams across sales, operations, product, engineering, and leadership, acting as both a service organization and a thought partner on how data supports the business. * Serving internal teams as stakeholders by keeping them informed on project progress, timelines, and outcomes. * Managing the team's intake of ad hoc requests, ensuring work is triaged, actioned or escalated appropriately, and completed within SLA. * Supporting data-intensive products and processes by collaborating with clients to procure data, integrating it into the system, and validating output. * Building and scaling the data services team, including managing direct reports, hiring additional team members, and formalizing processes and documentation while maintaining continuity of existing operations. Reach out to us if you: * Have 7+ years of experience in operational or business-focused roles and are deeply curious about how companies actually operate. * Have demonstrated leadership experience, including managing direct reports, building teams, or leading cross-functional initiatives. * Have strong business sense and are an exceptional problem solver who thrives in ambiguous environments. * You don't need to be a pure data scientist or engineer, but you should have strong technical data fluency. Our core stack includes MySQL, Python, Notion, and MS Office / Google Suite. We build dashboarding and reporting tools internally. We're looking for experience with: * SQL (MySQL) or Python (one is sufficient) * Working with large datasets * Data cleaning, transformation, and analysis * Building projections or data models * Measuring and defining operational metrics * Enjoy taking end-to-end ownership of projects and driving them from kickoff through launch. * Have strong written and verbal communication skills and can clearly explain technical issues to non-technical stakeholders. * Are comfortable coordinating across teams and communicating progress clearly with stakeholders. * Thrive in fast-paced, high-stakes environments where priorities shift and new challenges arise frequently. * Are comfortable operating with urgency and delivering high-quality work on tight timelines driven by client SLAs. Bonus points if you: * Have worked with alternative investments, financial data, financial technology, or data delivery platforms. * Have experience in a data analyst, data science, or data operations role. * Have worked with large-scale or complex data systems. * Have experience building predictive models, statistical analysis, or data quality measurement frameworks. * Have experience in consulting or environments where solving open-ended problems was a core part of the role. A Note about us: Most of our full-time roles are based onsite at our New York City office, where our team thrives on in-person collaboration and dynamic teamwork. Being onsite daily enables us to build strong connections, move quickly, and deliver exceptional service to our clients. For select roles, we are also open to candidates based in Boston. If a role is open to Boston, it will be listed explicitly in the job location. We encourage applicants who are located in or open to relocating to the listed location to apply and join us in this hands-on, collaborative environment Some perks of working for Arch include: * Strong Team - You’ll be backed by a strong team that consistently exceeds client expectations and ships new products quickly. * Your work is high impact - Being part of a small team means you have real responsibility and impact from day one. You'll be involved in discussions that drive the growth and direction of our platform from the very beginning. * Product Market Fit - We have strong product market fit, exceptionally low churn, and have grown mostly organically through word of mouth. * Team community and camaraderie - We have enormous trust in each other and always do what we can do to support one another. We're always ready to step in to help. * Great office - we’ve invested in a great space for the Arch team to come together, at 18th and Park in Manhattan (the old Buzzfeed / NYT headquarters). * Lunch is on Us - Grab lunch on us while you’re in the office and take a break to laugh, brainstorm, or just hang out with your teammates over a meal. Compensation Range: $145K - $170K

Job Description UNIVERSAL Technologies is seeking an experienced Oracle Fusion Reporting & Analytics Developer for an onsite role for the first 90 days in Long Island City, NY, may change to hybrid after. The right candidate will support enterprise-wide reporting, analytics, and data intelligence initiatives. This role is responsible for designing, developing, and modernizing reporting solutions across Oracle Transactional Business Intelligence (OTBI), Oracle Analytics Cloud (OAC), Oracle Analytics Server (OAS), Fusion Data Intelligence (FDI), and Autonomous Data Warehouse (ADW) while partnering closely with business stakeholders, data teams, and IT leadership. The ideal candidate brings strong SQL/PLSQL expertise, deep knowledge of Oracle Cloud reporting frameworks, and hands-on experience modernizing legacy EBS/OBIEE reporting into cloud platforms. ***Candidate must be able to work for UNIVERSAL Technologies directly. WHO WE ARE UNIVERSAL Technologies is a certified Women-Owned Business Enterprise (WBE/MWBE) IT consulting firm with over 20 years of experience providing top-tier technology talent and solutions to government and commercial clients. We specialize in delivering high-quality IT professionals across application development, infrastructure, cybersecurity, PMO, analytics, and emerging technology domains. WHAT WE OFFER UNIVERSAL Technologies offers competitive compensation, comprehensive benefits, career development opportunities, and the chance to support large-scale, mission-critical technology projects across New York and nationwide. MANDATORY SKILLS/EXPERIENCE • Bachelor’s degree in Computer Science, Information Systems, Business, or related technical field (or equivalent experience) Oracle Fusion & Cloud Reporting • 3+ years developing Oracle Transactional Business Intelligence analyses, dashboards, and reports, • 2+ years building advanced analytics and visualizations using Oracle Analytics Cloud (OAC), • 2+ years developing reports in Oracle Analytics Server (OAS), • 4+ years creating BI Publisher templates, layouts, and data models, • 2+ years working with Fusion Data Intelligence (FDI) subject areas, pipelines, and warehouse structures Database, Data Warehouse & Integration • 2+ years working with Oracle Autonomous Data Warehouse (ADW), including SQL tuning and data modeling, • 5+ years advanced SQL/PLSQL (packages, procedures, functions, triggers) using Oracle 19c/21c, • Strong understanding of dimensional modeling, star schemas, and data warehouse concepts, • Experience with ODI or similar ETL/integration tools preferred Legacy System Modernization • Knowledge of Oracle EBS data models and custom reporting, • Experience migrating OBIEE 12c reports/dashboards to Oracle Analytics Cloud (OAC)/ Oracle Transactional Business Intelligence (OTBI), • Proven ability to refactor and modernize legacy PL/SQL reporting, • Understanding of cloud migration methodologies Technical Expertise • Strong SQL/PLSQL optimization and performance tuning, • Experience with REST APIs/web services for data integration, • Familiarity with Git/SVN for version control, • Knowledge of Oracle Cloud Infrastructure fundamentals and cloud security/role-based access controls Soft Skills • Excellent verbal and written communication skills, • Strong ability to translate business requirements into technical reporting solutions, • Ability to support, train, and interface with business users, • Strong attention to detail and process-improvement mindset, • Ability to work independently and in cross-functional teams, • Experience working in Agile/Scrum environments Preferred (Nice-to-Have) • Oracle Cloud certifications (OAC, Fusion Apps, Autonomous Data Warehouse), • Experience with Oracle Integration Cloud (OIC), • Familiarity with Oracle ERP/HCM/SCM modules, • Experience with data governance or MDM, • Knowledge of AI/ML capabilities within Oracle Analytics Cloud (OAC), • Python or R for advanced analytics SCOPE OF SERVICES • Design, develop, and maintain reporting solutions across Oracle Transactional Business Intelligence (OTBI), Oracle Analytics Cloud (OAC), Oracle Analytics Server (OAS), Fusion Data Intelligence (FDI) and, BI Publisher, • Build dashboards, visualizations, and pixel-perfect reports for operational, regulatory, and analytical needs, • Develop, enhance, and optimize data models, schemas, subject areas, and pipelines supporting enterprise reporting, • Integrate and transform data across ADW, Fusion Cloud modules (ERP/HCM/SCM), and additional data sources, • Modernize legacy reports, PL/SQL code, and OBIEE dashboards for cloud-native architectures, • Conduct performance tuning, SQL optimization, caching strategies, and aggregation enhancements, • Support business analysts and end users with training, troubleshooting, and reporting best practices, • Document technical designs, data flows, migration paths, and reporting specifications, • Ensure audit readiness, compliance, version control, and adherence to change management processes, • Participate in Agile/Scrum ceremonies; provide status updates and manage work items using standard project tools, • Collaborate with IT, data governance, analytics, and application teams to ensure data quality, consistency, and compliance UNIVERSAL Technologies is an equal opportunity employer.

Job Description About the Role: We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary focus on Ad Score and Ad Account Health. You will play a crucial part in delivering actionable insights and solutions to our clients, and your work will be integral to our mission. Responsibilities include but are not limited to; • ML Model Development: Lead the development and refinement of predictive ML models, particularly Ad Score and Ad Account Health., • Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and insights that inform model development and optimization., • Feature Engineering: Collaborate with data engineers to create and maintain feature engineering pipelines to support model training., • Model Evaluation: Implement rigorous evaluation methodologies to assess model performance, making necessary adjustments for continuous improvement., • Deployment and Integration: Work closely with engineering teams to deploy models and integrate them into our products through APIs., • Collaboration: Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless integration of data science solutions into our products., • Master's or Ph.D. in a related field with a strong academic background., • Proven experience as a Data Scientist with a track record of developing and deploying predictive ML models., • Expertise in machine learning techniques, including but not limited to regression, classification, clustering, and deep learning., • Proficiency in data manipulation, feature engineering, and model evaluation., • Strong programming skills in languages such as Python and experience with libraries like TensorFlow, PyTorch, or scikit-learn., • Excellent communication skills and the ability to collaborate effectively within cross-functional teams., • A passion for continuous learning and staying updated with the latest trends and technologies in data science., • Strong problem-solving abilities and the capacity to translate complex data into actionable insights.Required knowledge of:, • Python, • SQL, • Cloud Platforms (GCP, AWS, Azure), • Data Warehouses (BigQuery, Snowflake, Redshift), • LLMs / AI APIs, • Git / GitHubNice to have:, • Data Transformation (dbt), • Semantic Layers (Cube, Looker, dbt Metrics), • TypeScript, • Bayesian modeling experience - ideally Marketing Mix Models (PyMC, Stan, or similar..). Understands priors, MCMC sampling, posterior diagnostics., • Causal inference / experimentation- geo experiments (matched markets), A/B testing at scale. Familiar with incrementality measurement., • Marketing/advertising domain- understanding of attribution, media channels (paid social, search, display, video), campaign structures., • Unlimited vacation policy, • Monthly Phone Stipend, • Comprehensive Medical, Dental, and Vision insurance options, • 401(K) plan with matching, • Dog friendly office, • Hybrid work opportunity, • Professional Development Program, • Bonus Perk - Seamless allowance Total compensation based on education, experience, and skills level ($90,900-$254,100) * Level 1 - Possesses essential capabilities * $90,900-$123,540 * Level 2 - Possesses developing capabilities * $123,540-$156,180 * Level 3 - Possesses notable capabilities. * $156,180-$188,820 * Level 4 - Possesses strong capabilities. * $188,820-$221,460 * Level 5 - Possesses advanced capabilities. * $221,460-$254,100 About WITHIN WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work! We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed. Join Our Network! Stay connected with us and be the first to know about new opportunities, industry insights, and updates. Follow us on: • LinkedIn, • WhatsApp Community, • Instagram, • New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States, • Bogotá: WeWork Av. Carrera 19 #100-45 Usaquén, Piso (Floor) 10, Bogotá, Distrito Capital de Bogotá 110111, Colombia, • Mexico City: Av. Insurgentes Sur 1082, Piso (Floor) 2, Oficina 2008, Ciudad de México, CDMX 03100, México

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in data science, analytics engineering, business intelligence, SQL analysis, experimentation, data engineering, and structured data workflow review. This role supports current and upcoming remote consulting opportunities focused on structured data science review, analytics workflow analysis, business intelligence assessment, experimentation review, data pipeline evaluation, metric documentation, and high-quality project execution. Selected professionals will apply their data and analytics expertise to review realistic technical scenarios, evaluate analytical requirements, prepare structured written outputs, and support accurate, evidence-based data workflow tasks. Key Responsibilities Professionals in this role may contribute to: Analytics, BI & Metric Review • Review data scenarios involving SQL analysis, ad-hoc business questions, dashboard specifications, metric definitions, funnel analysis, cohort analysis, and reporting outputs, • Evaluate analytical outputs against source data, defined business logic, expected numerical results, and documented requirements, • Support structured review of SQL queries, BI dashboards, dashboard specs, metric documentation, and analytical summaries, • Review experimentation scenarios involving A/B test design, readouts, lift calculations, statistical significance, guardrail metrics, and decision criteria, • Evaluate experiment outputs against defined metrics, expected values, testing assumptions, and analytical standards, • Support structured review of data science workflows, Python-based analyses, statistical outputs, and business interpretation materials, • Review data engineering scenarios involving ETL/ELT pipelines, dbt models, data quality monitoring, warehouse schema design, Airflow or Dagster DAGs, and pipeline documentation, • Evaluate pipeline outputs, schemas, transformations, orchestration logic, and data quality checks against documented requirements, • Support structured review of data artifacts such as dbt models, schema diagrams, data contracts, test suites, DAGs, and warehouse documentation Strong candidates may have: • 3+ years of experience as a data scientist, analytics engineer, BI analyst, data analyst, product analyst, data engineer, decision scientist, or related data professional, • Working fluency in at least two areas such as advanced SQL, dbt, data warehousing, Snowflake, BigQuery, Redshift, experimentation, A/B testing, pipeline orchestration, metric modeling, or Python for analysis, • Familiarity with tools such as SQL, Python, dbt, Airflow, Dagster, Snowflake, BigQuery, Redshift, Databricks, Looker, Tableau, Mode, Hex, Metabase, Power BI, or similar data and analytics systems, • Comfort reading and preparing data artifacts such as SQL queries, dbt models, experiment readouts, dashboard specs, schema diagrams, metric definitions, and pipeline documentation, • Strong written communication skills and ability to explain data decisions clearly, • A degree or professional background in data science, statistics, mathematics, computer science, economics, engineering, business analytics, information systems, or a related quantitative field is helpful, • Experience in product, consumer, SaaS, marketplace, fintech, e-commerce, or data-mature company environments, • Familiarity with experimentation frameworks, metric governance, data quality monitoring, warehouse design, pipeline orchestration, or modern data stack workflows, • Experience preparing or reviewing SQL queries, dbt models, experiment readouts, dashboards, schema diagrams, funnel analyses, cohort reports, or data documentation, • Experience with Python-based analysis, statistical testing, data modeling, analytics engineering, or pipeline QA, • Apply data science and analytics expertise to structured remote project work, • Contribute to high-quality analytics review, experimentation assessment, BI documentation, and data pipeline workflow analysis, • Work on flexible, project-based assignments aligned with your technical background, • Use your data judgment in a focused, detail-oriented technical environment, • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment depending on project availability, • Competitive rates between $75–$130 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: .

Job Description [Position] Korean Bilingual Data Architect / Data Analyst [About Our Client] Our Client is seeking an Entry Level Data Architect / Data Engineer / Data Analyst to support data architecture design, data pipeline development, and analytical insights across the organization. This role is open to all majors, with preference for candidates from data-related disciplines. [Job Description] -Design, maintain, and improve data architecture, including data models, structures, and standards -Develop and manage data pipelines, ETL/ELT processes, and data integration workflows -Perform data analysis, reporting, and visualization to support business decision-making -Ensure data quality, consistency, and governance across systems -Collaborate with cross-functional teams to understand data requirements and deliver solutions -Support database management, performance optimization, and documentation -Contribute to improving data processes, automation, and overall data infrastructure Requirements -Open to all majors; preference for data-related disciplines (Data Science, Statistics, Computer Science, etc.) -Understanding of data concepts such as databases, data modeling, ETL, and analytics -Strong analytical and problem-solving skills -Ability to learn data tools, platforms, and technologies quickly -Experience with SQL, Python, BI tools, or data engineering frameworks is a plus -For senior roles: experience in data architecture, pipeline design, or large-scale data systems are highly valued • Must be authorized to work in U.S. Benefits Medical, Vision, Dental, Life 401K Vacation Sick leave

Job Description About Us Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Senior Product Manager, Surveys in our New York office. About the Role: You will be responsible for defining and driving the product architecture, prioritization, and roadmap for our survey products. This includes both current offerings and developing and launching greenspace products that leverage Applecart's proprietary data assets to create innovative survey-driven insights. You will work closely with the Vice President of Data Science and his team of data scientists and analysts to design, launch, and iterate on deeply insightful, statistically sound products our customers can't do without. This role will report to the Director of Product Management for Insights & Optimization. What You'll Do: • Define and lead the product vision for Applecart's survey offerings, including building out a robust unified data pipeline, integrating with data sources from other teams, and generating automated visualizations., • Own the product roadmap and prioritization process in close collaboration with data science, engineering, and reporting teams., • Transform lift, probability, statistical significance, crosstabs, and other statistical and survey concepts into clear, structured product packages that clients can easily digest., • Partner with reporting teams and engineering to deliver scalable, reliable data pipelines and platform services using technologies such as Databricks and PySpark., • Design the future of our survey deliverables, from static presentations to interactive UI environments., • Define and track success metrics that demonstrate impact on client satisfaction, usability, and messaging and creative selection., • 5+ years of experience in product management, with at least 3 years focused on data products, infrastructure, or enterprise SaaS environments., • Professional experience and/or familiarity with data science or survey work and theory, especially as a product manager., • Impeccable attention to detail and superior organizational skills; able to synthesize densely technical product features into coherent requirements as well as clear external-facing deliverables., • Ability to thrive in a highly dynamic environment where priorities can shift outside of planning periods., • Strong written and verbal communication., • Thoughtfulness about developing and communicating clear milestones (including non-technical ones) that take a product from proof of concept through launch., • Intellectual curiosity and openness to new ideas and robust (but friendly!) discussions with key stakeholders at all levels., • Eagerness to collaborate cross-functionally with both local and remote colleagues from a variety of personal and professional backgrounds., • Prior experience as a survey scientist or on a data-intensive client analytics team., • Understanding of end to end survey research workflow is a plus such as sampling, questionnaire design, data collection and analysis. Relocation assistance is not available for this position. Candidates must be based in or willing to relocate to the area independently. Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $160,000 to $195,000 based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 3 years, we've increased our bookings by 10X, grown our headcount by 4X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, a former CRO of a high-growth tech company with hundreds of millions in ARR, and alums of top-tier organizations like Bain, Amazon and Simpson Thacher., • Our investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV and The Colbert Report, and in Axios, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job Description JOB TITLE: Data Analyst REPORTS TO: Director of Data Strategy and Reporting DEPARTMENT: IT HOURS: 40 Hours FLSA STATUS: Exempt SALARY: $90k-125k POSITION SUMMARY: The Data Analyst provides the foundation for analytics, namely the collection, quality assurance and availability of data. This IT role requires a significant set of technical skills, including a deep knowledge of SQL, SQL database design and multiple programming languages as well as communication skills to understand what data and analysis the healthcare analysts want to gain from Healthix data stores. They are responsible for the maintenance, improvement, cleansing and manipulation of data in the organization’s operational and analytics databases. The Data Analyst works with team members to define and build data pipelines to orchestrate the movement, transformation, validation, and loading of data from the source to the final destination – data stores defined and implemented based on system requirements and data consumer requirements. Typical tasks performed include working with the data architect on data warehouse design, ensuring data loads quickly, is easily accessible and rapidly comprehensible for analysts/users; extract, transform, and load (ETL) processing; performing thorough testing and validation in order to support the accuracy of data transformations and data verification to ensure correctness and that data is generally reliable for downstream consumption; data bounds checking and database tuning. The Data Analyst strives to ensure proper data governance and quality for the Data Strategy team and the entire organization. They analyze complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual physical and logical data models. They work collaboratively within the Data Strategy team, providing support for their data centric needs. The candidate has strong working and conceptual knowledge of database queries multidimensional query and index tuning, monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment. Requirements Essential Duties and Responsibilities: • Enhance and streamline data and pipeline architecture to improve data flow and collection., • Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery., • Independently address the data requirements of multiple teams, systems, and products., • Refine or redesign Healthix’s data architecture to enable next‑generation products and data capabilities., • Build and maintain scalable data pipelines and reporting solutions to support growing data volumes, performance and complex queries across Databricks, MS SQL Server, and Intersystems HealthShare., • Work with Data Strategy and Business teams to improve data models and increase data accessibility for business intelligence., • Implement monitoring processes to safeguard data quality, accuracy, and availability for key stakeholders., • Develop queries, support reporting needs, and tailor reporting solutions to enable data‑driven decision‑making., • Develop and execute unit and data validation tests while maintaining accurate documentation, perform data analysis to troubleshoot issues, support feasibility assessments, evaluate health outcomes, and resolve data‑related problems., • Provide general reporting and project support across the organization., • Ensure reporting meets standards for reliability, accuracy, completeness, and compliance., • Support the development, ETL processes, and maintenance of company data assets and data models, design data integrations and data quality frameworks., • Evaluate open‑source and vendor data‑lineage tools and contribute to long‑term data platform architecture planning across IT and Business teams., • Assist in developing an integrated data warehouse to provide a comprehensive healthcare dataset. Supervisory Responsibilities: • This job has no supervisory responsibilities. Qualifications: • 5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field. IBM Certified Data Engineer or Google Certified Professional is preferred., • Experience with healthcare data, including HL7, CCDAs, MS SQL Server, Databricks, Tableau, Intersystems HealthShare, and Cache databases., • Advanced SQL knowledge and experience with relational databases, query authoring, and familiarity with various databases., • Proficient in database design principles, including relationships, normalization, structures, indexes, views, and analyzing database requirements., • Experience in building and optimizing big data pipelines, architectures, and data sets., • Strong analytical skills and experience in performing root cause analysis on data and processes to answer business questions and identify improvement opportunities., • Experience in developing processes for data transformation, structures, metadata, dependency, and workload management., • Working knowledge of message queuing, stream processing, and scalable big data stores., • Proficient in big data tools such as Hadoop, Spark, and Kafka., • Experience with relational SQL and NoSQL databases., • Strong programming skills with languages like Python, Java, C++, and Scala., • Ability to architect end-to-end ETL pipelines., • Experience with AWS services and BI tools like Tableau., • Strong quantitative, analytical, process development, facilitation, and organizational skills. SALARY: $90k-125k We’re committed to supporting our team both professionally and personally. Our benefits include a flexible hybrid work environment, generous paid time off, comprehensive medical, dental, and vision coverage, a 401(k) with company match, commuter benefits, and additional perks designed to support your well-being.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Join Hinge as a Senior Machine Learning Engineer, where you'll lead the application of AI and machine learning to effectively mitigate the impact of bad actors, remove policy violating content, and ensure user safety on the platform. Working closely with an expanding Trust & Safety team, you will collaborate with product managers, data scientists, engineers, and analysts to develop impactful AI/ML solutions. In this high-impact position within a small, dynamic team, you'll have the opportunity to play a foundational role in shaping how Hinge utilizes AI and machine learning in various contexts. Your expertise will be instrumental in creating a safer and more meaningful user experience on their journey to find an intimate connection.Responsibilities • Develop, deploy, and maintain end-to-end machine learning models to identify and mitigate bad actors, remove policy-violating content, and ensure user safety., • Design and implement scalable systems (e.g., using Spark, Kubernetes) to preprocess data, run inference, and manage post-processing pipelines., • Define standardized performance metrics, testing protocols, and evaluation processes to measure the effectiveness, identify and mitigate potential risks, and ensure fairness of AI solutions., • Ensure ongoing assessment and refinement of AI solutions, incorporating user feedback, business impact, and emerging ethical considerations., • Collaborate closely with Data Scientists, Data Engineers, Product Managers, Backend Engineers, and the AI Platform Team to ensure a comprehensive and coordinated approach to user safety., • Stay abreast of new trends and research in AI/ML that can be applied to Trust & Safety initiatives to improve detection, user safety, and stay ahead of potential threats.What We're Looking For, • Strong programming skills: Proficiency in languages like Python, Java or C++ and SQL, proficiency in at least one ML stack (e.g., PyTorch), and strong understanding of data pipelines, • Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning real-time machine learning models for user facing products. Experience with applying expertise to fraud detection, content moderation, or related fields is a plus ., • System design & architecture: Experience training and deploying large scale ML models. Good understanding of distributed computing for learning and inference., • Evaluation frameworks for LLMs: Experience designing robust testing protocols to ensure effectiveness, fairness, and safety of AI-driven features., • Cloud and data platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with solutions like Databricks, Ray, or KubeFlow is a plus., • Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Strategic technical leadership skills: Demonstrated track record of guiding teams through complex ML projects in alignment with product and business objectives., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation. Prior Experience, • 4+ years of experience, depending on education, as an MLE or data scientist. Previous experience working in Trust & Safety or related fields (e.g., fraud detection, content moderation, compliance) is preferred., • 2+ years of experience in applying end-to-end machine learning models, including data collection, model training, deployment, and monitoring in an industry setting, • 1+ years of experience integrating LLMs in real-world applications with the appropriate baseline metrics and evaluation methodologies., • 1+ years of experience utilizing ML infrastructure components such as a feature store, model training environment, model serving environment, observability, workflow orchestrator, etc. #Hinge .

Job DescriptionDescription: At Biz2Credit, we are looking for individuals who are ready to join a dynamic and innovative fintech company on a mission to change the lending landscape for small businesses. Our values of Collaboration, Responsibility, Empowerment, Disruption, Innovation, and Trust guide everything we do, and our purpose of helping small businesses succeed drives us forward. As a company, we believe that with the right tools and support, small business owners can achieve their dreams, and we're here to make that happen. That's why we're dedicated to developing cutting-edge solutions, like our Biz2X platform, a fully configurable SaaS solution that leverages artificial intelligence and machine learning to make lending more efficient, effective, and accessible. But we're more than just another FinTech company. We're a team of individuals who bring their unique personalities, backgrounds, and experiences to work every day. We believe that diversity makes us stronger, and that's why we value a culture that is inclusive and supportive. We're looking for people who are excited about the opportunity to make a difference, who want to work in an environment that is both challenging and fun, and who are eager to bring their whole selves to work. So, if you're someone who is eager to join a company that is making a real impact, who values a positive and inclusive workplace culture, and who is ready to be a part of a team that is changing the lending landscape, we want to hear from you. Come join us and be a part of something truly special at Biz2Credit. Biz2Credit is launching a new small-business credit card, and we are hiring a Director of Credit Card Risk Strategy to build and scale the risk engine that powers the product. This role sits within the Risk organization and focuses on designing and executing the fraud and credit strategies required to safely grow a new card portfolio. You will own fraud and credit risk strategy across the full lifecycle, partner with Data Science on model development, work with product and engineering to implement rules and logic, and collaborate with vendors who support fraud detection, identity verification, and credit decisioning. This is a hands-on, analytics-driven role for someone who has built or scaled card risk systems before. Key Responsibilities Fraud Risk Strategy & Analytics • Develop and manage fraud strategies across the full credit card lifecycle: KYC, KYB, onboarding, transaction monitoring, disputes, and chargebacks, • Build and optimize fraud rules, signals, and decisioning logic, • Partner with Data Science to develop or enhance fraud models, • Monitor fraud KPIs, emerging patterns, and loss trends to adjust strategy, • Own credit line assignment, credit line increases (CLI), credit line decreases (CLD), and ongoing credit monitoring, • Develop and refine credit risk segmentation, cutoffs, and exposure strategies, • Partner with Data Science online assignment models and credit risk models, • Build dashboards and analytics to track credit performance, delinquencies, and portfolio trends, • Contribute to building the fraud and credit risk foundation for a new credit card program, • Support scaling of the portfolio through iterative strategy, analytics, and model improvements, • Work closely with product, engineering, operations, and external vendors to launch and scale long-duration programs, • Translate risk strategy into technical requirements for implementation, • Partner with compliance teams as needed; deep expertise not required, but familiarity with Reg Z, Reg B, FCRA, and UDAAP is helpfulRequirements:, • 5–10+ years of experience in credit card fraud risk, credit risk, risk analytics, or risk modeling, • Hands-on experience with fraud lifecycle management: KYC, KYB, onboarding, transaction monitoring, disputes, chargebacks, • Experience with credit line strategy: limit assignment, CLI, CLD, and credit monitoring, • Strong analytics background; proficiency in SQL required, Python preferred, • Experience working with fraud and/or credit risk vendors and platforms (e.g., decision engines, fraud tools, KYC/KYB providers), • Experience building or scaling risk strategies for a credit card program, • Ability to work cross-functionally with product, engineering, data science, and vendors, • Someone who has built or scaled a credit card risk engine, • A fraud + credit strategist who is equally comfortable with rules, analytics, and models, • A hands-on operator who can design a strategy and dig into SQL, • Someone who enjoys cross-functional execution and long-term program building, • A risk expert who wants to shape the foundation of a new card product

Job DescriptionSamba is an AI-powered media intelligence company on a mission to give marketers the complete picture of their audiences. Our AI indexes media consumption across millions of smart TVs and 2.5 billion web pages, combining that data with third-party signals through the Samba Knowledge Graph, a map of the real interests, behaviors, and purchase intent of 1.5 billion user profiles globally. Brands, agencies, publishers, and platforms use Samba to make smarter decisions across every stage of the marketing funnel. This Sales Engineer role will play a key role in driving Samba’s sales and revenue efforts by combining technical expertise with consultative selling strategies to position our enterprise products as trusted solutions for clients. This individual will empower sales teams to close deals effectively while emphasizing the measurable value of Samba’s offerings in Media Activation, TV measurement, planning, tune-in analysis, and outcomes-based strategies. This role requires a balance of technical skill, consultative sales ability, and a client-focused approach. The ideal candidate will be instrumental in shaping sales conversations, demonstrating how Samba's products solve critical business challenges and deliver ROI while building strong client relationships. Location: This role will be based in Samba’s LA or NY office and reports to the Director of Sales Engineering.What You'll Do • Build collaborative relationships with enterprise sales teams as a trusted resource for product and technical expertise., • Enhance sales opportunities by joining first-contact client meetings to present all Samba solutions in a trusted, consultative manner and being able to hone in on the correct product solution, whether that is a measurement use case or data licensing opportunity., • Actively participate in the entire sales cycle, from discovery to closing, leveraging deep knowledge of Samba’s offerings to articulate value and drive decision-making., • Promote Samba’s products with a sales-focused mindset while maintaining trust by aligning solutions to genuine client needs., • Serve as a trusted advisor, analyzing clients' needs to recommend the best Samba products and demonstrating how they deliver results., • Be able to probe a client's business challenges and innovate Samba’s enterprise data solutions or measurement solutions to fit and overcome those challenges, such as recommending tune-in or TV outcomes-based solutions., • Simplify complex technical concepts for non-technical audiences while providing in-depth explanations to technical stakeholders when needed., • Address technical challenges collaboratively with Product and Engineering teams, ensuring smooth implementation and seamless client experiences., • Leverage expertise in media measurement tools, TV tune-in metrics, and outcomes-based analytics to craft technical solutions that demonstrate Samba’s ability to drive success., • Utilize knowledge of APIs, clean rooms, SQL, Python, and cloud platforms like AWS, Azure, or Google Cloud to tailor solutions to client needs., • Ensure Samba’s products integrate smoothly with client systems while highlighting their role in achieving key measurement outcomes., • Identify opportunities for upselling and cross-selling Samba’s products, using data insights to guide sales strategies., • Partner with internal teams to align product offerings with market needs, contributing to go-to-market strategies that emphasize measurable client benefits., • Analyze customer feedback and market trends to inform product improvements and refine solution delivery., • Work closely with Sales, Product, and Marketing teams to align strategies and ensure consistent messaging around Samba’s value propositions., • Act as a bridge between technical teams and clients, facilitating clear and effective communication to meet client expectations., • Represent Samba at client meetings, industry events, and strategic discussions, advocating for our capabilities in trusted and outcome-driven selling.Who You Are, • 2-4 years of experience in roles such as Sales Engineering, Product Management, or a related field in AdTech, Measurement, or MarTech., • Strong expertise in media measurement, TV measurement, and data services., • Hands-on experience with tools and technologies, including SQL, APIs, ETL workflows, and cloud computing platforms., • Exceptional presentation, communication, and interpersonal skills, with a knack for simplifying technical concepts., • Proven ability to pitch, sell, and negotiate with technically minded stakeholders., • Trusted Partner: A natural collaborator who sales teams trust to enhance client interactions and increase deal success rates., • Solution-Oriented: A proactive mindset, capable of identifying challenges and crafting tailored solutions., • Approachable & Friendly: Builds rapport effortlessly with internal teams and clients, fostering a positive and productive environment., • Adaptable: Comfortable navigating changing priorities and market conditions., • Collaborative: Thrives in cross-functional teams and builds strong relationships with internal and external stakeholders., • Bachelor’s degree in Business, Engineering, Marketing, or a related field. An MBA or advanced degree is a plus. #LI-AH1Samba expects to offer a base salary between $115,000 - $135,000 per year for roles to be performed in New York or California; actual base salary offered will depend on various factors, including but not limited to, location, experience, and performance. Base salary is just one component of Samba’s total compensation package for employees. Other rewards may include bonuses, short-term incentives, and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact. Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.

Job Description Continua has launched an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. Funded by Google and Bessemer Venture Partners, Continua is developing the future of socially-intelligent AI. We've seen rapid growth over the last quarter, and are looking for someone who can help us improve the quality of our agent experience and scale to the next level. This is a hybrid position in New York, NY. We are onsite 3+ days per week. What you’ll do: * Design, build, and scale backend services and APIs using Python (and preferably Go) to power our AI agent platform. * Partner with ML engineers to integrate large language models (LLMs) into production systems. * Own feature development from ideation to launch: gather requirements, implement, test, and iterate. * Improve system reliability and scalability by enhancing testing, removing performance bottlenecks, and refining infrastructure. * Collaborate closely across disciplines, including with our CEO, product manager, and designer, to translate product goals into technical solutions. * Participate in on-call rotations and production maintenance to ensure a great user experience. Who you are: You are a Systems Software Engineer with a strong grasp of both backend and frontend systems. You balance technical depth with product intuition, building reliable, user-focused applications that scale. You’re comfortable moving quickly in a startup environment, collaborating across disciplines, and owning features from concept through deployment. You thrive in ambiguity, enjoy working with emerging AI technologies, and are based in New York City for a hybrid schedule. * 4+ years of infra / backend engineering experience. * Good understanding of database technologies, like SQL, Postgres, etc. * Strong intuition for product balancing user needs with technical constraints. * Comfortable working across the stack, from frontend to backend systems and data pipelines. * Familiarity with cloud architecture and deploying to cloud, particularly Google Cloud Platform (GCP) or Terraform * Able to work independently and handle ambiguity in a fast-paced startup environment. * Excited about the opportunity to tackle impossible problems. Bonus points if you have: * Experience integrating or deploying AI/ML models into user-facing products. * Background in real-time or conversational applications. * Prior experience in high-growth startups or developing products from 0 to 1. A little about us: Our team is a fantastic bunch of accomplished engineers and researchers from Google, Slack, Disney, and AI startups. We're pretty clued in on the technology side and have a strong vision of how the transformative technology of the last few years along with our own secret sauce (not just a ChatGPT wrapper) can help a huge number of people. Compensation & Benefits: We compensate with a competitive salary and equity, health benefits, 401k, and the opportunity to help shape the future of AI agents during this transformative moment in computing history! To apply: To apply, please complete the application and answer the short questions that follow. The more you answer, the better. If something doesn’t apply to you, feel free to say “N/A.” We welcome referrals! If you know someone exceptional for this role, please email us at .

Job DescriptionCompany Description NIQ is the world’s leading consumer intelligence company, helping brands and advertisers understand what people buy, watch, and engage with. MRI‑Simmons, a division within NIQ, runs one of the most comprehensive and detailed consumer insights studies in the U.S., collecting thousands of data attributes from 50,000+ respondents annually. Our Consumer Canvas product takes this data even further — mapping it to the broader U.S. population (250M+ adults) and enabling advanced audience targeting through partners like The Trade Desk, LiveRamp, TransUnion, and more. We are expanding our architecture team to drive the next evolution of Canvas — identity resolution, data enrichment, privacy‑first design, and scalable activation pipelines. Job Description We are seeking a Data Architect to own and evolve the end‑to‑end architecture behind the Consumer Canvas platform. You will work across Snowflake, Databricks, identity systems, ingestion pipelines, and activation layers — ensuring our data is scalable, secure, privacy‑compliant, and highly performant. You will partner closely with Data Engineering, Data Science, Machine Learning, and Product teams to build next‑gen solutions that power the future of consumer insights and advertising activation. This is not a migration or maintenance role — it is a strategic influence position with the opportunity to architect new systems, components, and methodologies from the ground up • Own the end-to-end architecture of the Consumer Canvas product., • Design systems across ingestion, identity spine creation, enrichment, governance, and activation workflows., • Collaborate with cross-functional partners (Data Scientists, ML Engineers, Data Engineers, Product Owners)., • Define and enforce PII governance, privacy controls, and security best practices., • Translate complex business and technical requirements into scalable architecture., • Support technical teams with architectural guidance and model/structure design., • Participate directly in design, prototyping, and testing cycles within an Agile environment., • Act as a senior technical thought partner, providing mentorship (non‑manager role).Qualifications Must‑Have Skills • 5+ years of experience in Data Architecture or related technical leadership roles., • Hands-on experience with Snowflake (including Data Clean Rooms) and/or Databricks., • Strong SQL and experience with Python, PySpark, and Spark., • Proven experience working with PII data, privacy constraints, and governance frameworks (critical & non‑negotiable)., • Data modeling expertise (conceptual, logical, physical)., • Experience designing scalable data pipelines and cloud-native architectures., • Experience in Ad-Tech, Martech, Media, Consumer Data, or Identity Ecosystems, • Familiarity with Medallion Architecture (Bronze/Silver/Gold)., • Azure services (ADF, Azure Data Lake, Azure DevOps)., • Containers & orchestration (Docker, Kubernetes)., • Bachelor’s degree in Computer Science, Engineering, or a related field required., • Master's degree or certifications (SnowPro, Azure Data Engineer) are a plus., • A strategic thinker who enjoys architecting new systems, not just migrating old ones., • Passionate about privacy-first data design and operational excellence., • Skilled at turning ambiguous requirements into elegant architectures., • Excited by large-scale audience data (hundreds of millions of profiles)., • Comfortable navigating complex stakeholder environments. Additional Information Why Join NIQ? • Build one of the most influential consumer identity data architectures in the U.S., • Work with cutting-edge cloud technologies (Snowflake, Databricks, identity graph frameworks)., • Be part of an innovative team pushing the boundaries of consumer analytics and ad-tech., • Flexible, fully remote work environment. Our Benefits • Flexible working environment, • Volunteer time off, • LinkedIn Learning About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the

Job Description Trexquant is seeking a highly skilled Senior Data Architect to design and lead the next-generation architecture for our research and simulation data ecosystem. This role is central to unifying Trexquant’s extensive collection of datasets—sourced from hundreds of vendors—into an accessible, efficient, and scalable data platform that supports simulation, research, and alpha generation across multiple asset classes. The successful candidate will architect the end-to-end data infrastructure that enables researchers and simulators to seamlessly discover, query, and combine datasets across equities, futures, FX, ETFs, corporate bonds, and options. This person will design data models, storage systems, and researcher-facing interfaces that make it easy to transform raw vendor data into structured, analysis-ready forms—empowering systematic research and robust backtesting. Responsibilities • Architect and implement a unified data platform that integrates hundreds of vendor datasets, providing consistent, accessible, and high-quality data to simulators and researchers., • Design efficient storage and retrieval systems to support both large-scale historical backtesting and high-frequency research workflows., • Develop intuitive researcher interfaces and APIs that allow users to easily discover variables, explore metadata, and assemble data into standardized stocks × values matrices for rapid hypothesis testing., • Collaborate closely with quantitative researchers and simulation teams to understand their workflows, ensuring the data platform meets real-world analytical and performance needs., • Establish best practices for data modeling, normalization, versioning, and quality control across asset classes and data vendors., • Work with infrastructure and DevOps teams to optimize data pipelines, caching, and distributed storage for scalability and reliability., • Prototype and deploy internal data applications that enhance research productivity and data transparency., • Mentor and guide data engineers to maintain robust, maintainable, and well-documented data systems. Requirements • 7+ years of experience in data architecture, quantitative research infrastructure, or large-scale data engineering in a financial or research-driven environment., • Proven experience designing and implementing scalable data storage solutions (e.g., columnar databases, time-series systems, object stores, or data lakes)., • Strong proficiency in Python and familiarity with modern data stack technologies (e.g., Parquet, Arrow, Spark, SQL/NoSQL, distributed file systems)., • Deep understanding of time-series and financial data modeling, including handling multiple vendors, instruments, and frequencies., • Experience building data interfaces, APIs, or tools that serve researchers, data scientists, or quantitative analysts., • Ability to translate research needs into efficient data schemas and access patterns., • Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field., • Strong collaboration, communication, and documentation skills., • Competitive salary plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment., • PPO health, dental, and vision insurance premiums fully covered for you and your dependents., • Pre-tax commuter benefits., • Weekly company meals. Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary range is $175,000 - $200,000 depending on the candidate’s educational and professional background. Base salary is one component of Trexquant’s total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer.

Job Description Senior Software Engineer (Agentic AI / Healthcare) Location: New York, NY (Manhattan), Hybrid (3 days onsite) Compensation: $150,000–$250,000 base + equity Contact / Apply: Ryan Johnston - About Our Client Our client is a venture-backed healthcare technology company based in New York and Toronto, building agentic AI solutions that reimagine how medications are prescribed, verified, and supported across the pharmacy ecosystem. Backed by $4M in funding and trusted by multiple Fortune 50 healthcare organizations, they're scaling quickly and expanding their AI product line. As an early engineering hire, you'll play a meaningful role in shaping architecture, shipping production systems, and balancing speed with quality. The work directly impacts pharmacy workflows and, most importantly, patient outcomes. Mission Our client is building a world where medication delays are impossible. From the moment a prescription is written, the path to therapy start should be clear, fast, and predictable. Their platform connects the fragmented steps that slow medication access, intake, coordination, utilization management, and clinical services, so patients start therapy sooner. The Role Our client is hiring a Senior Software Engineer to design and build autonomous, agentic systems that run complex, multi-step pharmaceutical workflows end-to-end. This is a backend-leaning role with broad scope: you'll work across orchestration, integrations, reliability/observability, and the practical realities of healthcare systems. This role is ideal for someone who enjoys ambiguous problems, can ship end-to-end, and wants to build real product in a regulated, high-stakes domain. What You'll Do * Design and build autonomous agents that handle multi-step pharmacy workflows end-to-end * Architect communication systems that coordinate across organizational boundaries (providers, payers, pharmacies, vendors) * Build orchestration layers for long-running tasks, including graceful failure handling and human-in-the-loop escalation * Develop frameworks enabling agents to interact with external pharmacy systems, databases, and APIs * Implement evaluation + observability infrastructure to monitor agent behavior in production (quality, drift, failure modes) * Integrate with healthcare data standards and legacy pharmacy systems * Scale systems for real-time processing across multiple pharmacy networks What Our Client Is Looking For Must-Have Qualifications * 5+ years of software engineering experience with a strong backend focus * Proficiency in Python or TypeScript and deep backend fundamentals (APIs, data stores, concurrency, distributed systems) * Experience with service-oriented architectures and web frameworks (FastAPI, Flask, or equivalent) * Strong API design skills (clean, versioned APIs) * Familiarity with caching, messaging, and databases (e.g., Redis, Kafka, SQL/NoSQL, vector databases) and how to apply them for performance and reliability * Cloud experience (Azure, AWS, or GCP) * Experience building and deploying agentic AI systems, including tool use, planning, memory, and orchestration patterns * Proven ability to ship ambiguous projects end-to-end with minimal guidance and own outcomes * Based in NYC and able to commute to Manhattan 3 days/week Nice-to-Haves * Experience integrating with healthcare/pharmacy systems or healthcare data standards * Experience building evaluation harnesses for agent reliability and hallucination mitigation * Prior work in regulated environments where correctness and auditability matter Compensation & Perks * Competitive compensation: $150k–$250k base + stock options * Full medical, dental, vision coverage * Unlimited PTO + 2 weeks company-wide holiday closure * Complimentary breakfast daily and weekly team lunches (in-office) * Professional development stipend Why This Role This is a rare opportunity to be early, own architecture, and build agentic systems that directly improve medication access—where execution quality matters and the impact is tangible.

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture. What you'll do • Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas, • Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code, • Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices, • Manage and optimize DAGs, including troubleshooting task failures and improving run times, • Implement metadata management, data lineage, and security principles such as least-privilege access, • Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow, • Partner with engineering, data science, and business stakeholders to own project scopes, • Mentor others on data best practices to drive impact through your data vision, • Provide architectural guidance to ensure data is accessible and actionable across the company, • Drive technical excellence within the data engineering and analytics domainWhat we're looking for, • 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake, • 3+ years of experience with dbt, • Owned large-scale data projects that drove significant impact through effective cross-functional partnering, • Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights, • Expert at SQL, window functions, and query optimization for complex data manipulations, • Applied performance best practices, including partitions, sort keys, and incremental modeling, • Designed systems using test-driven approaches to ensure data quality and flow integrity, • Familiarity with ELT processes and tools to prepare and clean data for analysis, • Skill in using tools like dbt to build data transformation pipelines, • Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practicesWhile not required, these are a plus: When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingQvest.US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data lead who can successfully manage projects, teams, and stakeholders.What You'll Do • Manage the project and stakeholders through all core project phases, including project setup, requirements gathering, design, development, testing, and deployment, • Lead the team through hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks, • Ensure client satisfaction through consistent support, impactful thought leadership and high-quality project execution, • Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication, • Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations, • Proactively identify risks, issues and provide mitigation strategies, • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancementWhat You'll Bring, • Eagerness to help build and lead a best-in-class data practice, • 5+ years Project Management, Process, Implementation, System Integration, and SDLC experience working closely with data professionals in an Agile environment, • Experience with project planning, including tasks, budgeting, resource allocation and balancing, • 7+ years in a consulting or a data-focused role and expert-level experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar, • Experience designing and building relational database and/or data warehouses, • Hands-on experience with business driven / self-service BI, using tools similar to Tableau, Power BI, Looker, etc Preferred Additional Experience, • A solid understanding of key BI trends and the BI vendor landscape, • Experience in Media & Entertainment and/or Consumer Products industries, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC), • Cloud computing experience, whether with AWS or other vendors, • Ability to understand/design small-to-medium size data architectures, • Ability to automate data-related tasks using scripts and programming languages, • Ability to profile, explore, and analyze data to identify common data patterns, • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytical fields

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Staff Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You'll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance. Your work will directly impact our member recommendations and provider-facing data products. You will also be a technical leader, raising the bar for how we conduct analysis, build models, and deploy data science code by improving standards and mentoring team members. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Partner with product managers and clinical experts to lead projects shaping how we define and measure provider cost and quality, • Drive the evolution and construction of tools we use to write, assess, and combine rules measuring provider behaviors, • Build and maintain data-driven algorithms, including AI and machine learning models, to improve our provider recommendations estimates, • Serve as a subject matter expert for statistical modeling, improving methods for evaluating current models and future changes, • Partner with data engineers to design scalable data pipelines that ingest, clean, and enrich healthcare provider data, • Collaborate cross-functionally with product, engineering, research, and operations teams to translate business needs into data-driven solutions, • Define data science standards and best practices, and mentor team members to raise the technical capabilities of the data science teamThe ideal candidate has:, • 8+ years professional experience in data science, product analytics, and/or healthcare, • A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders, • Strong Python and SQL skills, • Expertise in statistical modeling techniques and a track record of building impactful predictive models, • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success, • Experience working in a rapidly evolving startup environment., • A desire to be a part of our mission to improve the U.S. healthcare system, • A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedbackTechnologies we use: Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $263,000 - $300,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .

Job DescriptionPlease note: This position description is for RFQ response. There is no active vacancy at this time.About FedSync: Since our inception, FedSync has stood for Accountability, Integrity, Teaming, Value, Innovation, and Quality-the core values that define who we are. Our vision is to collaborate with innovative, forward-thinking leaders to deliver solutions that look beyond today. Our mission is to provide the federal government with proven, innovative solutions that transform organizations by equipping them with the right tools and people to meet tomorrow's challenges. At FedSync, our people matter-both our employees and our clients. Position Overview The Cybersecurity Analyst proactively monitors, detects, and responds to security threats across networks, systems, and cloud environments to ensure the protection of sensitive DOE data and maintain enterprise resilience. This role drives risk reduction by analyzing incidents, implementing controls, and collaborating with cross-functional teams to strengthen the organization's security posture. Five (5) Cybersecurity Analysts are required for this engagement. Work will be a hybrid schedule withe 3 days in the office and 2 days of telework. Key Responsibilities • Perform threat triage, incident investigation, and risk analysis to protect the confidentiality, integrity, and availability of DOE systems, applications, and data assets., • Analyze security alerts and events to identify indicators of compromise (IOCs), attack patterns, and emerging threats across on-premises, cloud, and hybrid environments., • Correlate security data from disparate sources to develop a unified view of organizational cyber risk, enabling informed decision-making and prioritization., • Identify vulnerabilities, misconfigurations, and protection gaps across infrastructure, cloud platforms, and data-centric environments; validate findings and assess potential business impact., • Monitor, analyze, and detect cybersecurity threats across multiple security domains including Security Operations (SOC), Cloud Security, Infrastructure Security, Information Protection, and Data Protection., • Monitor security alerts through the SIEM platform and execute immediate triage and incident response protocols., • Conduct proactive threat hunting to identify hidden threats and adversary behavior., • Implement, tune, and manage DLP controls across endpoints, email, and cloud collaboration platforms., • Ensure alignment with federal and regulatory security standards (NIST, FISMA) and internal cybersecurity policies., • 5+ years of experience in cybersecurity analysis, security operations, or a related field., • Demonstrated experience performing threat triage, incident response, and risk analysis., • Proficiency with SIEM platforms, vulnerability scanners, and cloud security tools., • Working knowledge of NIST and FISMA compliance frameworks., • CISSP, CompTIA Security+, CompTIA CySA+, • CEH (Certified Ethical Hacker), • SIEM: Devo / Splunk, • Vulnerability Scanners: Rapid7 / Armis, • Cloud Platforms: AWS / Azure, • Wireshark, SQL, Python, MS Power BI, Microsoft Office Suite Acceptable background check including criminal history background check and credit Check.

Job Description Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family. About the role: Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you'll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions. This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight. You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process. Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions, • Own projects end-to-end, including problem definition, implementation, validation, and iteration, • Deliver high-quality analytical and modeling outputs with limited manager oversight, • Collaborate closely with data science peers and cross-functional partners across business units, • Help ensure data science processes and outputs align with broader team strategies and roadmaps, • Provide guidance or informal mentorship to junior data scientists or analysts when needed, • 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both), • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data, • Master's degree in a quantitative or technical field, • Knowledge of or previous work experience in health care or health insurance, • Experience mentoring or supporting junior team members At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: AI Scenario Designer Type: Contract Compensation: $80–$150/hour Commitment: 20+ hours/week Role Responsibilities • Build richly detailed personas and simulated digital environments using tools like Gmail, Slack, Calendar, WhatsApp, and Google Drive., • Write tasks that challenge an AI agent's ability to reason, filter, and prioritize effectively., • Run the agent against your scenarios, evaluate its performance, and guide it to success through structured hints., • Document your work clearly in Airtable and Crucible. Must-Have • Undergrad degree, 2+ years professional experience., • Strong written communication and attention to detail., • Writing chops: experience as a copywriter, UX writer, journalist, content strategist, editor, or creative writer., • Multi-stakeholder coordination: experience as a PM, account manager, consultant, client success, event coordinator, or producer., • World-building / creative design: experience as a game designer, curriculum designer, UX researcher, simulation designer, or tabletop RPG creator., • Upload resume, • AI interview based on your resume #hiringmercor

Job Description Director of Compliance Location: New York, NY 10005 or Chicago, IL 60605 Salary Range: $175,000-200,000, plus performance-based bonus Group One Trading is seeking a Director of Compliance to lead the full operation of the Compliance Department from surveillance and investigations to regulatory reporting and training programs. You'll work closely with business leaders, technology teams and the Chief Compliance Officer to build a compliance framework that protects the firm while enabling strategic growth. The ideal candidate combines deep regulatory expertise with a pragmatic, collaborative approach and strong problem-solving skills. WHO WE ARE We are committed to creating a diverse environment and are proud to be an equal opportunity employer. At Group One, we value transparency and collaboration coming from unique perspectives and backgrounds. We hire bright, analytical, and competitive people and train them to be the best in the industry. We strive to create a workplace in which all employees have an opportunity to participate and contribute to the success of the business. A healthy work-life balance is essential to sustaining our work culture and our overall success. We rely on our employees to spur creativity, enhance problem-solving, and help us thrive in the high-pressure trading industry. WHAT WE DO Group One Trading was founded in San Francisco in 1989, and we've become one of the largest privately held options trading firms in the United States, with brilliant people on our team in New York, Chicago, Philadelphia, and San Francisco. We continue to expand our presence on exchanges as the options trading space evolves and grows. Armed with expertise developed through a rigorous training program, our traders provide competitive liquidity across a broad range of securities. We manage portfolios of thousands of securities and electronically stream two-sided quotes across multiple exchanges. Group One is wholly owned by its founders and employees, and all our trading is proprietary, placing both the rewards for our success and managerial oversight directly in our team's hands. RESPONSIBILITIES • Oversee full department operations including surveillance, investigations, regulatory reporting, testing, and training programs, • Design and implement compliance processes that balance regulatory requirements with business practicality, • Lead complex investigations and matters requiring senior-level involvement, • Provide expertise on novel compliance situations and ambiguous regulatory matters, • Lead cross-departmental initiatives requiring compliance input or oversight, • Ensure quality assurance for all compliance deliverables and work product, • Monitor team capacity and performance metrics to maintain program effectiveness, • Coordinate regulatory examinations and serve as primary working-level contact with regulators, • Deep operational and regulatory knowledge across SEC, FINRA, and exchange rules, • Strong understanding of options trading and market structure, • Experience across multiple compliance functional areas (surveillance, investigations, testing, reporting), • Expertise in surveillance systems, investigation methodologies, and testing protocols, • Ability to translate complex regulatory requirements into practical operational procedures, • Demonstrated analytical and problem-solving skills with the ability to synthesize complex information and provide actional recommendations, • Minimum of 7 years of progressive compliance responsibility in financial services, with at least 5 years in an options/derivatives trading environment, • Series 7/57 and Series 24 are required; Series 4 preferred, • Bachelor's degree required; advanced degree (MBA, JD, or relevant Master's) strongly preferred, • Working knowledge of coding languages such as SQL and Python preferred This is a role that requires a significant in-office presence. THE BENEFITS Our Director of Compliance earns a competitive salary, including a performance-based bonus. We provide fantastic benefits, including 401(k) and Roth 401(k) retirement plans with employer matching, medical, dental, vision, generous vacation time, paid holidays, parental leave, and flexible spending accounts (FSA) for health care, dependent daycare, and parking or mass transit expenses. Job Posted by ApplicantPro

Job DescriptionOn-site Position Who You Are You are an innovative and detail-oriented Full-Stack Engineer with a passion for building reliable, secure, and scalable applications. You thrive in complex enterprise environments, enjoy collaborating with diverse teams, and are committed to continuous learning and technical excellence. You’re someone who finds energy in problem-solving, optimizing cloud architectures, and delivering high-quality software that directly impacts millions of users. You take ownership of your work, enjoy mentoring others, and value process discipline — especially in environments that demand precision, performance, and compliance. If you want to grow with a mission-driven company, contribute to world-class projects with global clients like JP Morgan Chase, and help elevate Latin American tech talent to its fullest potential, this is the role for you. Who We Are MAS means “more” in Spanish — and that’s what we stand for. We believe in providing more opportunities, more inclusion, and more impact. Founded by a Latina engineer from Medellín and based in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company, recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US. We connect top Latin American talent with North American clients to build digital, data, and cloud solutions. Our teams are currently helping world-leading organizations like JP Morgan Chase, Johnson Controls, and Dell to modernize platforms, deliver innovation, and scale digital transformation. How You Will Make Impact As a Full-Stack Java Developer, you will design, build, and optimize microservices and customer-facing applications that process massive volumes of secure transactions daily. You will work directly with Chase engineers under a time-and-materials engagement, embedded in agile delivery teams. Your contributions will drive real impact by improving system performance, enhancing observability, and enabling data-driven financial solutions at scale. Key Responsibilities • Design and develop RESTful APIs and microservices using Java (11+), Spring Boot, and Spring Cloud frameworks., • Implement event-driven architectures with Kafka (producers, consumers, schema management, and streaming)., • Deploy and manage services on AWS ECS/Fargate, using Terraform or CloudFormation for Infrastructure-as-Code and Spinnaker for CI/CD automation., • Integrate and maintain data flows with Cassandra, AWS S3, or Spark-based pipelines., • Collaborate with frontend teams using React or Angular to deliver seamless, full-stack solutions., • Leverage Python for automation, data validation, or integration scripting (nice-to-have)., • Ensure quality through Test-Driven Development, automated testing, and continuous integration practices., • Partner with DevOps and QA teams to enhance resilience, scalability, and performance across distributed systems., • Participate in sprint planning, design reviews, and retrospectives while following Agile/Scrum practices., • Champion best practices in security, code quality, and documentation, ensuring compliance with Chase’s standards.You Have:, • BS/BA degree or equivalent experience in Computer Science, Engineering, or related field., • 7+ years of experience building enterprise-grade applications using Java / Spring Boot., • Proven experience developing and deploying microservices on AWS Cloud (ECS, Fargate, Lambda)., • Solid understanding of Kafka, Docker/Kubernetes, and distributed system design., • Hands-on experience with CI/CD pipelines (Spinnaker, Jenkins, or GitHub Actions)., • Experience with frontend frameworks like React or Angular for full-stack delivery., • Familiarity with Cassandra, SQL/NoSQL databases, and data streaming concepts., • Working knowledge of Python3 for automation or data processing (nice-to-have)., • Exposure to observability tools like Datadog, Splunk, or Dynatrace for monitoring and troubleshooting., • Experience working in Agile environments and collaborating in cross-functional teams., • Excellent communication skills — able to explain technical concepts to both engineers and product stakeholders.Bonus Skills (Nice to Have):, • Knowledge of Apache Spark, Flink, or data engineering concepts., • Familiarity with financial services, regulated environments, or compliance-heavy systems., • Experience integrating AI/ML-powered recommendation systems or event-driven personalization logic., • Awareness of performance testing, NFR validation, and resilience patterns (DLQ, retries, fallback).Benefits, • Health: Medical, dental, and vision coverage., • Time Away: Vacation, holidays, wellness days, and parental leave., • Financial: 401(k), basic life, and AD&D insurance. Powered by JazzHR eo3X22hHCS

Job Description Need Sr. Java Developer in Jersey City, NJ 07310 Mandatory requirements: 1. Employment type: Client is ONLY looking for candidates who can work on W2 basis, client is unable to sponsor visa candidates at this time., 2. Candidates must be based in Jersey City and have prior onsite office experience. Fully remote candidates, including those in Jersey City without onsite experience, will not be considered., 3. (Jersey City, NJ 07310 OR Tampa, FL 33647 OR Coppell, Texas, 75019 ). Candidates from any of the 3 specified locations be considered acceptable. Job Description: Job Title: Java Developer We are seeking experienced Sr. Java Developers to support a top client of ours. In order to be successful in this role, we are seeking developers with 7–10 years of experience building and supporting scalable enterprise applications. Skilled in Java development, PL/SQL database programming, and modern front-end technologies such as React. Experienced working in large enterprise environments and leveraging containerized platforms to develop, deploy, and maintain high-performance applications. Key Skills & Highlights · 7–10 years of hands-on experience in Java-based application development within large enterprise environments. · Strong experience with PL/SQL for database development, performance tuning, and complex queries · Front-end development experience using React for building responsive user interfaces · Experience working with container technologies (e.g., Docker/Kubernetes) for application deployment and scalability · Proven ability to design, develop, and support scalable and high-availability enterprise applications · Comfortable working in Agile/Scrum environments and collaborating with cross-functional teams · Experience troubleshooting, optimizing performance, and maintaining production systems · Strong understanding of enterprise software development lifecycle and best practices · Assess exposure to modern tools (AWS, GCP, Kubernetes, Terraform, CICD, Python, Java, Go etc) and BFSI-aligned frameworks Additional requirements: Education: Bachelor or advanced degree in Computer Science or Engineering Previous BFSI experience. Need a valid Professional LinkedIn profile. GitHub Presence (A GitHub profile is ideal and can help validate technical work and contributions) Willing to take a Technical assessment. · This is one of the client's primary technical evaluation method. · An opportunity to showcase skills directly to decision-makers. · Results stay on file with our team beyond this single requisition. · Strong performance can expedite future opportunities down the road. · Creates a technical portfolio that works in your favour for months. Engagement terms: · Work Location: Jersey City, NJ 07310 (Tampa, FL 33647 OR Coppell, Texas, 75019 OR Jersey City, NJ 07310). Candidates from any of the 3 specified locations be considered acceptable. · Client allows 3 days onsite · Hourly rate: Open rate but competitive on W2 basis. · Employment type: Client is ONLY looking for candidates who can work on W2 basis, client is unable to sponsor visa candidates at this time. · Duration: Contract till end of year with likely extensions · Openings: Multiple openings · Interview Process –2 steps, video interview followed by a in-person interview. · Must pass standard background investigation & drug screening. Are you a Sr. Java Developer that loves the fast paced, ever-changing environment? Do you want to be a part of a company that believes that the heart of our dedicated Team is what makes us successful? Then join our team! If you are interested in becoming part of our winning team, please APPLY NOW! Thanks & Regards, M V Srikanth Patriot Global Services

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You'll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance – e.g., answering questions like, how do we know which providers deliver better surgical outcomes or what data concepts do we need to build out to improve our analysis. Your work will directly impact our member recommendations and provider-facing data products. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Partner with data scientists and clinical experts to shape how we define provider performance metrics, apply statistical rules, and model provider behavior, • Drive the evolution and construction of tools we use to write, assess, and combine rules measuring provider behaviors, • Build and maintain data-driven algorithms, including AI and machine learning models, to improve our provider recommendations estimates., • Design scalable data pipelines that ingest, clean, and enrich healthcare provider data., • Collaborate cross-functionally with product, engineering, research, and operations teams to translate business needs into data-driven solutions.The ideal candidate has:, • 2-5 years professional experience in data science, product analytics, and/or healthcare, • A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders, • Strong Python and SQL skills, • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success, • Experience working in a rapidly evolving startup environment, • A desire to be a part of our mission to improve the U.S. healthcare system, • A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedbackTechnologies we use:

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As a Staff Data Scientist, you'll be seen as a tech lead thought leader across company leaders and across Product, Engineering, Design, Operations, and Clinical teams. You will help the company be rigorous and thoughtful on how to best use data and apply statistical methods. You will bring an experienced perspective among the team to help them polish their thinking and ultimately inform their roadmaps, shape their thinking, and drive outcomes. You will be a highly engaged cross-functional partner that is sought out to solve challenges and will be able to bridge the gap between technical and non-technical stakeholders, upleveling those around you. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Partner with Product, Engineering, Design, Clinical, Operations, and Machine Learning teams to turn ambiguous questions into clear analytical recommendations that influence strategy and decision-making., • Build and establish models and analyses using appropriate statistical methods that identify key roadmap items to prioritize across the respective teams., • Regularly influence leaders to accept recommendations and define the metrics that matter which will generate concrete and notable impact to the company's mission., • Partner closely with Analytics and Data Engineering to define key objectives for the team, design and scale repeatable frameworks, and enable broader self-serve use of existing tools & methods while keeping a high bar when it comes to analytical rigor., • Be a causal inference expert with knowledge across several methodologies (e.g. Experimentation, Diff-in-Diff, IV, Propensity Score, etc.) and serve as a key stakeholder in enabling this thinking., • Form and vocalize opinions on how we should do things and gain trust among company leaders as a key partner they should feel empowered to reach out to for brainstorming and new initiatives., • 7+ years in data science/analytics roles, at least 3 of those years in a tech lead capacity., • Demonstrated ability to navigate an ambiguous data environment, with start-up experience preferred related questions and provide approaches with appropriate statistical rigor to a wide variety of stakeholders., • Experience with modeling that led to clear and concrete adoption of recommendations and demonstrated visible impact, • Detailed knowledge of causal inference methods including (but not limited to): RCT, Diff-in-Diff, IPW, Propensity Score, Instrumental Variables, Variance Reduction, etc., • Experience with leveraging LLMs on text to generate insights and amplify existing work., • Strong technical proficiency: SQL, Python or R, modern ELT/ETL, OLAP databases (e.g., Snowflake), dbt, BI tools (e.g., Tableau, Hex), and experience setting up and scaling experimentation programs (A/B tests, causal inference, lift measurement)., • Excellent ability to communicate, collaborate, and influence business partners at all levels, but especially executives and those at Director+ levels., • Bonus: Healthcare Experience, Start-up Experience, • Passion for mission-driven work in mental health or healthcare settings and a desire to apply your skills to improve outcomes, • Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/week.Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $190,000 and $270,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-hybrid Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description Capgemini is a leading technology consulting company specializing in insurance product innovation, technology modernization and operational transformation. We partner with top-tier U.S. insurers to enhance personal lines product portfolios, drive growth, and modernize operations. We are seeking a Senior Property & Casualty Insurance Product Manager – Personal Lines with expertise in product rationalization, new product development, product run-offs, regulatory strategy, InsurTech enablement, and claims transformation. This role requires deep industry knowledge and strategic consulting skills to advise insurers on optimizing personal lines products, navigating compliance requirements, and implementing emerging technologies. Key responsibilities include leading product portfolio optimization, rate filings, and competitive market assessments. The candidate will also drive digital transformation initiatives, evaluating InsurTech solutions such as telematics-based pricing, AI-driven claims automation, and predictive analytics for risk segmentation. Additionally, they will support regulatory advisory projects, ensuring compliance with state DOI regulations, NAIC model laws, and evolving legislative changes. The ideal candidate will have 10+ years of P&C insurance product management or consulting experience, strong expertise in personal lines pricing, underwriting, and compliance, and familiarity with technology platforms like Guidewire, Duck Creek, and Majesco. Preferred qualifications include CPCU, AINS, ARM, Lean Six Sigma, or PMP certifications. This is an exciting opportunity to work with leading insurers on high-impact projects, leveraging data-driven strategies and InsurTech solutions to reshape the future of personal lines insurance. Join us and contribute to strategic innovation, regulatory excellence, and digital transformation in the insurance industry. Key Responsibilities: The key responsibilities of this role will include supporting Client and Internal Project Teams with a mix of the following capabilities: Strategic Consulting & Client Advisory • Act as a trusted advisor to top-tier insurers on personal lines insurance products, including homeowners, auto, renters, and umbrella., • Lead product rationalization efforts, optimizing insurers’ portfolios to reduce complexity, enhance profitability, and improve customer experience., • Drive new product development, leveraging telematics, usage-based insurance (UBI), embedded insurance, and AI-driven pricing models., • Develop and implement product run-off strategies, ensuring compliance, financial stability, and seamless transition for policyholders., • Guide insurers through regulatory advisory initiatives, ensuring product strategies align with state DOI regulations, NAIC model laws, and evolving consumer protection standards. Regulatory Compliance & Market Strategy • Advise on state and federal regulations, helping clients navigate rate filings, compliance risks, and policyholder protections., • Manage engagements related to state DOI rate filings, competitive benchmarking, and regulatory impact assessments., • Provide insights on emerging legislative changes (e.g., climate risk mandates, AI-driven underwriting guidelines, and telematics regulations). InsurTech Enablement & Digital Transformation • Partner with technology teams to implement digital underwriting, AI-based risk models, and automation tools., • Evaluate and recommend InsurTech solutions such as:, • Telematics-based pricing (e.g., Cambridge Mobile Telematics, Arity), • AI-driven claims processing (e.g., CCC Intelligent Solutions, Snapsheet), • Fraud detection & predictive analytics (e.g., Shift Technology, FRISS), • Customer experience & digital distribution (e.g., Cover Genius, Trov), • Support insurers in modernizing core platforms, working with vendors like Guidewire, Duck Creek, and Majesco. Claims Transformation & Risk Management • Assist clients in claims process optimization, leveraging automation, AI, and predictive analytics for faster claims adjudication., • Develop strategies for fraud detection, litigation management, and claims efficiency improvements., • Work with claims and risk teams to align product design with evolving risk trends (e.g., climate change impact, cyber risks in personal lines, and increased litigation costs). Project Leadership & Stakeholder Engagement • Lead cross-functional consulting engagements involving actuarial, underwriting, IT, claims, and distribution teams., • Develop and present strategic recommendations to C-suite executives, supporting data-driven decision-making., • Manage multiple client engagements, ensuring timely delivery, regulatory alignment, and measurable business impact. Requirements • Education: Bachelor’s degree in Business, Finance, Insurance, or a related field (MBA, CPCU, or AINS preferred)., • Experience: 5+ years in P&C insurance product management, consulting, or strategy roles, with a strong focus on personal lines., • Industry Certifications (Preferred):, • CPCU (Chartered Property Casualty Underwriter) – Deep expertise in P&C insurance., • AINS (Associate in General Insurance) – Strong foundational knowledge of insurance operations., • ARM (Associate in Risk Management) – Specialization in risk assessment and mitigation., • Lean Six Sigma or PMP – For project management and operational efficiency., • Technical Expertise:, • Deep knowledge of personal lines product development, pricing, underwriting, and risk management., • Experience with product rationalization, run-off strategies, and market repositioning., • Strong understanding of state insurance regulations, rate filings, and DOI compliance., • Familiarity with InsurTech solutions, AI-driven pricing models, and claims automation technologies., • Proficiency in data analytics tools (e.g., SQL, Python, Tableau, Power BI) for actuarial and risk modeling., • Consulting & Leadership Skills:, • Proven ability to develop strategic recommendations and present to C-suite executives., • Strong project management skills with experience leading cross-functional teams in product transformation., • Excellent problem-solving, analytical, and communication abilities., • Expertise in Agile methodologies for product development and market deployment., • Use of Lean Six Sigma frameworks for process optimization and operational efficiency. This position comes with competitive compensation and benefits package: • Competitive salary and performance-based bonuses, • Comprehensive benefits package, • Career development and training opportunities, • Flexible work arrangements (remote and/or office-based), • Dynamic and inclusive work culture within a globally renowned group, • Private Health Insurance, • Retirement Plans, • Paid Time Off, • Training & Development About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55+ year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported €22.5 billion in revenues in 2023.

Job DescriptionOn-site Position Who You Are You are an innovative and detail-oriented Full-Stack Engineer with a passion for building reliable, secure, and scalable applications. You thrive in complex enterprise environments, enjoy collaborating with diverse teams, and are committed to continuous learning and technical excellence. You’re someone who finds energy in problem-solving, optimizing cloud architectures, and delivering high-quality software that directly impacts millions of users. You take ownership of your work, enjoy mentoring others, and value process discipline — especially in environments that demand precision, performance, and compliance. If you want to grow with a mission-driven company, contribute to world-class projects with global clients like JP Morgan Chase, and help elevate Latin American tech talent to its fullest potential, this is the role for you. Who We Are MAS means “more” in Spanish — and that’s what we stand for. We believe in providing more opportunities, more inclusion, and more impact. Founded by a Latina engineer from Medellín and based in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company, recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US. We connect top Latin American talent with North American clients to build digital, data, and cloud solutions. Our teams are currently helping world-leading organizations like JP Morgan Chase, Johnson Controls, and Dell to modernize platforms, deliver innovation, and scale digital transformation. How You Will Make Impact As a Full-Stack Java Developer, you will design, build, and optimize microservices and customer-facing applications that process massive volumes of secure transactions daily. You will work directly with Chase engineers under a time-and-materials engagement, embedded in agile delivery teams. Your contributions will drive real impact by improving system performance, enhancing observability, and enabling data-driven financial solutions at scale. Key Responsibilities • Design and develop RESTful APIs and microservices using Java (11+), Spring Boot, and Spring Cloud frameworks., • Implement event-driven architectures with Kafka (producers, consumers, schema management, and streaming)., • Deploy and manage services on AWS ECS/Fargate, using Terraform or CloudFormation for Infrastructure-as-Code and Spinnaker for CI/CD automation., • Integrate and maintain data flows with Cassandra, AWS S3, or Spark-based pipelines., • Collaborate with frontend teams using React or Angular to deliver seamless, full-stack solutions., • Leverage Python for automation, data validation, or integration scripting (nice-to-have)., • Ensure quality through Test-Driven Development, automated testing, and continuous integration practices., • Partner with DevOps and QA teams to enhance resilience, scalability, and performance across distributed systems., • Participate in sprint planning, design reviews, and retrospectives while following Agile/Scrum practices., • Champion best practices in security, code quality, and documentation, ensuring compliance with Chase’s standards.You Have:, • BS/BA degree or equivalent experience in Computer Science, Engineering, or related field., • 7+ years of experience building enterprise-grade applications using Java / Spring Boot., • Proven experience developing and deploying microservices on AWS Cloud (ECS, Fargate, Lambda)., • Solid understanding of Kafka, Docker/Kubernetes, and distributed system design., • Hands-on experience with CI/CD pipelines (Spinnaker, Jenkins, or GitHub Actions)., • Experience with frontend frameworks like React or Angular for full-stack delivery., • Familiarity with Cassandra, SQL/NoSQL databases, and data streaming concepts., • Working knowledge of Python3 for automation or data processing (nice-to-have)., • Exposure to observability tools like Datadog, Splunk, or Dynatrace for monitoring and troubleshooting., • Experience working in Agile environments and collaborating in cross-functional teams., • Excellent communication skills — able to explain technical concepts to both engineers and product stakeholders.Bonus Skills (Nice to Have):, • Knowledge of Apache Spark, Flink, or data engineering concepts., • Familiarity with financial services, regulated environments, or compliance-heavy systems., • Experience integrating AI/ML-powered recommendation systems or event-driven personalization logic., • Awareness of performance testing, NFR validation, and resilience patterns (DLQ, retries, fallback).Benefits, • Health: Medical, dental, and vision coverage., • Time Away: Vacation, holidays, wellness days, and parental leave., • Financial: 401(k), basic life, and AD&D insurance. Powered by JazzHR 1Vxvxla96D