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Hands-on Cisco voice platforms and unified communication and collaboration technologies.Demonstrate extensive technical experience working with large VoIP network using Cisco Voice collaboration platforms and solutions including Call Manager/CUCM, Cisco SME, Unity Connection Voice Mail, Webex, Webex

Participate in the transformation and implementation of critical batch processing systems. Design and manage scalable database systems, focusing on Oracle platforms. Experience with distributed systems.

Software Development In Test Engineer Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. The DEEP & Technology team is looking for a Software Development in Test Engineer to join our expanding quality engineering efforts across the Ads, Data, and eCommerce domains. As part of our mission to scale automation and enhance quality across diverse systems, this role will focus on building robust test automation frameworks and quality processes tailored to each team's unique needs. In Ads, your work will help ensure that ad delivery systems serve relevant, timely, and high-quality advertisements, maximizing both viewer satisfaction and business revenue. For Data, you'll ensure the integrity and performance of large-scale pipelines that power analytics and insights used across the organization. In eCommerce, you'll help maintain seamless shopping experiences by catching integration and service-level issues early in the development cycle. When these systems work as intended, they drive better customer experiences, increase trust in our platform, and reduce costs associated with bugs in production. As an SDET, you will play a crucial role in strengthening test automation strategies, leading quality initiatives, and championing a culture of engineering excellence. This is a great opportunity to be part of a talented and collaborative team, with the autonomy to influence test architecture and the support to drive meaningful change. The ideal candidate is innovative, proactive, and thrives in dynamic, fast-paced environments. If you're excited by the opportunity to shape quality across core pillars of our business and want your work to be impactful and visible at all levels, we'd love to hear from you. Responsibilities include: • Work closely with Software Engineers to understand the complex ecosystem in place at DEEP&T, • Develop automated test frameworks and suites on UI, API and Integration levels of testing using python or other OO language, • Participate in design discussions for our platform to help evolve the platform in a way that enables richer testing scenarios that simplify defect detection and prevention, • Assist with triage, diagnosis, and resolution of issues discovered across teams., • Contribute to end-to-end acceptance tests, • Where necessary, develop and execute manual test cases to detect issues that cannot be detected through automated means, • Drive the conversion of manual tests to automated whenever possible, • Part of product teams in building architectures which are robust, fault-tolerant, and cloud-native. Builds solutions for problems of sizeable scope and complexity that have been successfully deployed to customers/users. Influences and drives software engineering best practices within the team, • Technically lead and deliver multiple projects utilizing an Agile methodology while reviewing team members code. Participates in developing technical and/or business approaches; and new/enhanced technical tools, • Minimum 2 years of hands-on software test development experience, including both functional and non-functional test development, • Knowledge of Agentic workflows and MCP design patterns, • Proficiency in SQL, Python/Java, and ETL processes, along with familiarity with cloud platforms (AWS, Azure, GCP) and cloud-based data warehousing e.g. Snowflake, • Skills in data validation, modeling, ETL pipelines and software engineering principles, • Strong desire for establishing and improving product quality, • Experience building or improving test automation frameworks., • Experience in CICD integration and pipeline development in Jenkins, Spinnaker or other similar tools., • Experience in UI automation (Selenium, Robot, Watir), • B.S. in Computer Science (or equivalent degree or work experience)

Job Title: Informatica IDMC Developer. Role: Informatica IDMC Developer designs, builds, and maintains data integration solutions using Informatica Data Management Cloud (IDMC) and Intelligent Cloud Services (IICS), focusing on ETL/ELT pipelines, data quality, and governance across cloud/on-prem sys

Full understanding of software development and testing lifecycles. Knowledge of the QA process and structured testing methodologies. Must have BI testing experience in manual environment.

Must Have Technical/Functional Skills Primary Skill: Oracle PL/SQL, SQL, Stored Procedures, Functions, Packages, Triggers, Performance Tuning, Query Optimization, SQL Developer / TOAD, ETL / Data Migration, Indexing / Partitioning, Unix Shell Scripting. Optimize SQL statements and PL/SQL code for be

Oracle PL SQL Must Have Technical/Functional Skills Primary Skill: Oracle PL/SQL, SQL, Stored Procedures, Functions, Packages, Triggers, Performance Tuning, Query Optimization, SQL Developer / TOAD, ETL / Data Migration, Indexing / Partitioning, Unix Shell Scripting. Optimize SQL statements and PL/S

ETL testing, complex SQL, and test automation. Manage test assets and defects using Jira and Micro Focus Octane; collaborate with cross-functional Agile teams. Expertise in ETL testing and data warehousing concepts.

Minimum 6 years of experience in ETL tools like Informatica using Netezza as the database.At least 5 years of experience in Data Design and architecture.At least 6 years of experience in ETL Designing, development and database components to support Datawarehousing and Business Intelligence.At least

The candidate must be a talented and hands-on technologist.The position will entail Oracle, PLSQL, SQL, Big Data, Scala, Java, J2EE, JavaScript skills and enhance/develop the ETL pipelines with integrating with several internal Systems.This role provides the unique and exciting opportunity to gain e

Proven track record as ETL developer using ETL tool i. Data integration, modelling and ETL.

Position: ETL & Reporting Production Support.

Informatica, Datawarehouse And Etl. Strong Knowledge of Dimensional Modelling, DW architecture, ETL Frameworks, Design and Development using Informatica, Best Practices and Troubleshooting. Extensive experience in architecting ETL / OLAP solutions.

Work closely with cross-functional business and business intelligence teams to document ETL requirements and turn them into ETL jobs. ETL tools like Informatica, GoldenGate, etc. ETL, Informatica, Oracle, SQL Queries, Stored procedures, Teradata.

Technical Business Systems Analyst. We are looking for a midsenior Technical Data Business Analyst with strong SQL and SSIS, expertise to support migration of legacy SSIS ETL pipelines to Azure Data Factory ADF and Databricks The core of this role is to reverse engineer SSIS packages and SQL transfo

Genesis10 is currently seeking an ETL Informatica Developer for a contract position with a Global Financial Institution located in Jersey City, NJ or Charlotte, NC.

T-SQL(strong be strong on T-SQL and ETL ) , Sybase, Batch Development, Java Programming(should be strong on java ), Python Scripting, Pyspark , Databricks(should be strong Databricks). Experience in TSQL (MSSQL/SYBASE must have ) code development, performance tuning, query optimization and batch or

Must have 7+ years of experience in Administration activities related Informatica and advance tools of informatica,. Backup and migrate the Informatica domain database. Well versed with ETL concepts and expertise on Informatica tool 8x and above.

Perform ETL testing including data extraction, transformation, and loading validations. ETL / Data Warehouse Manual Testing - Strong expertise in SQL (joins, subqueries, aggregates, stored procedures). Execute backend testing using complex SQL queries.

Analyst, CX Data & Insights When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role… As the Analyst for CX Data & Insights, specializing in AI/ML & Automation Initiatives, you will be critical in shaping AI strategy for the Customer Experience team. Your primary focus will be to identify, leverage, and implement AI/ML & automation opportunities to enhance our CX operations and insights capabilities. You will act as a vital bridge between CX, Tech, and Product teams, ensuring seamless implementation and continuous improvement of CX data products. This role requires a self-starter mindset, the ability to self-manage workload across different products, and the ability to work across a diverse technology suite such as Salesforce, Snowflake, Databricks, and Looker. Your Role Accountabilities… • Define and drive the AI/ML and automation roadmap for CX Data & Insights, aligning with broader CX and business objectives., • Partner with CX, Tech, and Product teams to identify and deliver data and AI solutions that enhance operational efficiency, accuracy, and insight generation., • Translate business needs into technical requirements for scalable data and AI products built on Salesforce, Snowflake, Databricks, and Looker., • Direct and advise data engineers on the design, development, and optimization of data pipelines required to support CX data products and AI/ML initiatives., • Oversee data quality, compliance, and governance processes across all CX data assets., • Establish and track KPIs and OKRs to measure the success and impact of AI-driven initiatives., • 3-5 years of experience in product management, analytics, or data strategy, preferably within a data-rich or customer experience organization., • Proven track record of delivering AI/ML or automation initiatives that improved efficiency, accuracy, or insight generation., • Strong understanding of data engineering technologies (e.g., ETL/ELT, orchestration frameworks, APIs) and best practices for building reliable, scalable pipelines., • Experience working with modern data platforms such as Salesforce, Snowflake, Databricks, and Looker., • Ability to translate data science and engineering concepts into actionable business outcomes., • Skilled at setting strategy, managing cross-functional projects, and influencing teams without direct authority. In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $62,790.00 - $116,610.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.

Cloud implementation experience with AWS including:. AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Kinesis (or) MSK, Airflow (or) Lambda + Step Functions + Event Bridge. AWS Data Security: Good Understanding of security concepts such as: Lake formatio

Job Description Senior SAS Viya Developer / SAS Platform Migration Lead Experience: 10+YearsRole Overview We are seeking a Senior SAS Viya Developer / SAS Platform Migration Lead to drive large-scale SAS Enterprise Guide (EG) to SAS Viya migration initiatives for enterprise clients in the Property & Casualty Insurance domain. This role requires strong expertise in SAS programming, SAS Viya architecture, CAS processing, and data platform modernization. The individual will lead migration strategy, technical execution, and stakeholder engagement while working in a global delivery model with onshore and offshore teams. The ideal candidate will combine deep technical SAS expertise with leadership capabilities, enabling them to drive migration programs, optimize legacy code, and implement modern analytics solutions on the SAS Viya platform. Key Responsibilities SAS Platform Migration Leadership • Lead and execute SAS Enterprise Guide (EG) to SAS Viya migration programs across enterprise analytics platforms., • Assess current SAS EG codebases, workflows, and data pipelines to determine migration complexity and dependencies., • Develop migration frameworks, playbooks, and automation strategies to streamline transition to SAS Viya., • Convert legacy SAS programs to Viya-compatible architecture and optimize for CAS (Cloud Analytic Services) processing., • Analyze the existing SAS EG environment, processes, and infrastructure., • Develop detailed migration roadmaps, timelines, and implementation strategies., • Identify migration risks and develop mitigation strategies., • Convert SAS EG programs into Viya-compatible code and architecture., • Optimize SAS workloads for distributed CAS processing., • Integrate SAS Viya with data platforms, APIs, and enterprise systems., • Develop and execute testing frameworks for migration validation., • Conduct parallel runs and result reconciliation between EG and Viya environments., • Validate data accuracy, performance improvements, and process integrity., • Work closely with client stakeholders, architects, and data teams to ensure business requirements are met., • Provide technical advisory on SAS modernization strategies., • Lead and mentor onshore and offshore SAS engineering teams., • Coordinate development tasks across dual-shore delivery models., • Conduct code reviews, technical governance, and best practice enforcement., • Develop migration documentation, best practices, and operational guides., • Create training materials for teams transitioning to SAS Viya., • Monitor post-migration performance and system stability., • Identify opportunities to optimize SAS workloads and analytics pipelines. SAS Technologies • SAS Base Programming, • SAS Enterprise Guide (EG), • SAS Viya Platform, • SAS Studio, • SAS Visual Analytics, • Data modelling and data architecture, • ETL and data pipeline development, • Performance optimization for analytics workloads, • Git / version control systems, • CI/CD pipeline integration, • Experience with AWS, Azure, or GCP environments, • Strong understanding of Property & Casualty (P&C) Insurance analytics., • Experience supporting actuarial, underwriting, risk modeling, or pricing analytics is highly preferred., • Strong analytical and problem-solving capabilities, • Excellent stakeholder communication skills, • Ability to lead cross-functional global teams, • Experience managing client-facing engagements, • Strong project planning and execution abilities, • 10+ years of experience in SAS programming and analytics platform development., • Hands-on expertise in SAS Enterprise Guide and SAS Viya environments., • Experience leading SAS platform modernization or migration initiatives., • Demonstrated ability to work with global onshore/offshore delivery teams., • Experience working directly with enterprise clients and business stakeholders. Bachelor's or Master's degree in one of the following: • Computer Science, • Statistics, • Data Science, • Engineering, • Mathematics, • SAS Certifications (Base SAS, Advanced SAS, SAS Viya), • Experience with Python or R for advanced analytics, • Experience with Agile / Scrum delivery models, • Previous experience leading large-scale analytics platform migrations, • Full-time position, • Hybrid work model (US / Canada locations), • Collaboration with global delivery teams, • Occasional travel may be required for client engagements

Job Description Company Overview Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment. IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments. Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology. This is Hybrid role (3 days in office /2 days remote) About your Team: The Enterprise Architecture organization is looking for a Data Engineer to join the team and help build the next generation of data infrastructure and AI-enabled workflows. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data lake platforms, and analytics solutions that support enterprise-wide AI initiatives and advanced analytics capabilities. You will partner closely with internal development teams and IT leadership to architect data solutions that meet diverse use-cases across the organization. This role offers the opportunity to work with cutting-edge data technologies, AI knowledge bases, and cloud-native data platforms as we scale our data operations. Your work will focus on delivering robust, well-documented data solutions and establishing best practices for data engineering across the enterprise. What will be your responsibilities within IBKR: · Design, build, and maintain scalable data crawlers and ETL/ELT pipelines to ingest data from various sources including enterprise collaboration tools, web applications, and internal databases · Develop and manage data lake platform infrastructure including S3-based storage, Iceberg tables, AWS Glue data catalog, and cloud data warehouse solutions for analytics workloads · Build and optimize real-time streaming data pipelines using Kafka for event-driven analytics and data processing · Create and maintain data transformation pipelines to clean, curate, and prepare data for analytics and AI/ML applications, supporting multiple data formats including structured, semi-structured, and unstructured data (text, images, audio, video) · Develop Python-based applications for data ingestion, processing, and integration supporting Gen AI RAG workflows and knowledge base systems · Collaborate with internal development teams, data scientists, and stakeholders to understand requirements, architect appropriate data solutions, and create comprehensive technical documentation · Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and data quality · Write clean, maintainable, well-tested code following software engineering and data engineering best practices · Create comprehensive technical documentation for data pipelines, architectures, and platform capabilities What required skill's you need: · 6+ years of hands-on data engineering experience with modern data stack technologies · Strong experience with AWS cloud services, particularly: S3, AWS Glue, Athena, EMR, Lambda · Proficiency in Python for data processing, ETL, and application development · Experience with PySpark on EMR for large-scale data processing · Strong SQL skills for data analysis and transformation · Experience building and maintaining ETL/ELT pipelines at scale · Experience with Kafka for streaming data pipelines and real-time data processing · Knowledge of data lake architectures and modern table formats (e.g., Iceberg) · Experience with CI/CD practices using Git, version control systems, and containerization (Docker) · Understanding of data modeling, data warehousing concepts, and analytics best practices · Exceptional problem-solving and analytical skills · Excellent collaboration and communication (verbal and written) skills · Self-motivated with ability to work independently and manage multiple priorities · Willingness and enthusiasm to learn AI/ML technologies, stay current with emerging data engineering trends To be successful in this position, you will have the following: • Self-motivated and able to handle tasks with minimal supervision., • Superb analytical and problem-solving skills., • Excellent collaboration and communication (Verbal and written) skills., • Outstanding organizational and time management skills.Company Benefits & Perks, • Competitive salary, annual performance-based bonus and stock grant, • Retirement plan 401(k) with competitive company match, • Excellent health and wellness benefits, including medical, dental, and vision benefits. Company paid medical healthcare premium., • Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP), • Paid time off and a generous parental leave policy, • Daily company lunch allowance provided and a fully stocked kitchen with healthy options for breakfast and snack, • Corporate events including team outings, dinners, volunteer activities and company sports teams, • Education reimbursement and learning opportunities, • Modern offices with multi-monitor setups The anticipated base salary range for this role is $150,000 to $200,000 per year, based on skills, experience, and location. The offered salary is just part of the total compensation package. In addition to a competitive salary, the company offers both a discretionary cash bonus and a stock award, as well as a wide range of benefits, including healthcare, tuition reimbursement, and more.

Job DescriptionPower BI DeveloperEmployment Type: Full-Time, Mid-levelDepartment: Information Technology CGS is seeking a Power BI Developer to join our team in supporting a wide-ranging technical support initiative for a large Federal agency. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- Build Data Analytics enterprise models using Microsoft’s Power BI- Develop tabular, multidimensional models compatible with warehouse standards- Develop self-service models, and data analytics using Power BI service- Experience with Microsoft Azure platform and service (Power BI, Flow, Cortana, etc.)- Experience working with data gateway, data integration, self-service data preparation- Develop, publish, and schedule reports and dashboards to meet business requirements- Assist business users with functional and data requirements to enhance data models- Experience in requirement analysis, design, and prototyping- Strong understanding of Data Analytics application security layer models- Experience with ESRI or similar geographical mapping systems and tools is desired- Experience working with Government personnel at the CTO or SES level. Qualifications:- Bachelor's degree or equivalent in Computer Science or related field.- 2-4 years of development experience in Data Analytic technologies- Knowledge in Microsoft enterprise cloud technologies such as Dynamics 365 CRM, Office 365, Microsoft Azure- Strong experience in SQL and RDBMS technologies- Experience working in Agile project deliveries and delivering to tight timescales- Web API Experience- Knowledge of Azure DevOps (VSTS)- ETL, SSAS, and SSIS experience- SSRS Reporting knowledge Ideally, you will also have:- Experience with Government software development policies and procedures- Client-facing communication experience- Federal Agency issued security clearance Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation!Explore additional job opportunities with CGS on our Job Board: more information about CGS please visit: or contact:Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Founding Senior Backend Engineer (Data Platform / Integrations) Location: New York City — In-Person The Opportunity Our client is hiring a Founding Senior Backend Engineer to own the data platform end-to-end and build the team around it. This is a true founding role: you will define canonical data models, ship the event backbone, enable analytics/experimentation, and create the integration architecture that makes adding EMR #5 configuration—not months of bespoke engineering. If you're energized by unglamorous but high-leverage infrastructure (data modeling, pipelines, events, integrations), this is a rare seat. What You'll Own 1. Outcome Data Layer (Instrumentation + Measurement) Build the instrumentation layer that ties every agent decision to customer-level business metrics—e.g., client retention, caregiver satisfaction, authorization utilization, hours erosion. This becomes the foundation for experimentation, ROI claims, ML improvements, and product strategy. 2. Real-Time Event Backbone Design an event-driven architecture where visit status changes, clock-ins, call-outs, ranking decisions, and workflow outcomes flow in real time—so internal systems (and future products) can consume events without constant EMR polling or rate-limit band-aids. 3. Integration Platform + Canonical Models Create canonical data models across WellSky, HHAeXchange, AlayaCare, and Axxess so adding the next EMR is configuration-driven. This also unlocks revenue-cycle automation by enabling unified authorization and billing models. 4. Analytics & Experimentation Tooling Build the warehouse + tooling so engineers can answer: “Did this change improve customer outcomes?” quickly and consistently—without writing one-off queries every time. What Our Client Is Looking For You're likely a fit if you are: • Systems-minded and data-opinionated: you treat data modeling as a craft and can explain why entities should relate a certain way, • Comfortable with messy reality: you're excited by pipelines, joins, ETL/ELT, and cleaning inconsistent third-party data, • Event-driven by default: you've built (or deeply understand) real-time architectures, streaming/event backbones, and durable systems, • Integration-savvy: you've shipped platforms that unify multiple external systems into clean internal abstractions, • Experience with healthcare workflows, EMRs/EHRs, home health, or revenue-cycle concepts (authorization, billing, reimbursement), • Familiarity with healthcare data modeling standards (e.g., FHIR-style entity thinking), • Experience building experimentation frameworks or measurement systems tied to business outcomes Q2: Ship the outcome data layer + real-time event backbone. Make experimentation and measurable ROI a default. Q3: Deliver the integration abstraction + canonical models. EMR #5 becomes configuration. RCM roadmap becomes real. Year-end: You've built and are leading a 3–5 person data platform team (integration, data engineering, analytics). You're operating as the Head of Data Platform. Why This Role • Founding-level ownership on a platform that directly drives revenue outcomes, • Complex, high-impact systems work: data, events, integrations, measurement, experimentation, • Clear path to technical leadership and building a team, • Real customers, real workflows, and real-world leverage—your architecture decisions compound fast

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 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 the Engineering Manager, Data you will lead and represent a team of Data and Analytics Engineers, driving execution at a high level while fostering a culture of trust, empathy, and technical excellence. You will own the data warehouse and pipelines that power company-wide reporting, product analytics, and all post-source data operations, ensuring these are reliable, observable, accurate, fresh, scalable, and extensible. You will provide structured execution, clear prioritization, and alignment with business needs. As a hands-on leader, you will lead sprint ceremonies, roadmap planning, provide mentorship, remove blockers, contribute technically as needed, and create a culture of execution and continuous improvement. You will partner with leaders in our ML, Analytics, BizOps, and Engineering teams and define a vision for data model best practices in our warehouse and ETL pipeline architecture, while supporting new business initiatives. 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 • Drive the development of data pipelines and analytical products in the warehouse, ensuring reliable, performant systems and timely delivery of business-critical insights., • Work closely with business partners across Data Science, Machine Learning, Engineering, Product, and BizOps to align data initiatives with company needs and unlock new opportunities., • Define a vision for a scalable data model architecture in the warehouse, and create a roadmap for the team to iterate into that end-state., • Lead execution, ensuring the team delivers high-quality, reliable data solutions aligned with business priorities, including leading sprint ceremonies and roadmapping., • Oversee data integrity, documentation, testing, and monitoring across systems to ensure stakeholders can trust and self-serve on our data., • Guide and contribute to architecture and design decisions, resolve critical technical issues, and ensure scalable development across our data stack (Dagster, Snowflake, dbt, Fivetran, Hightouch, Hex, Tableau)., • Identify bottlenecks and implement improvements to team workflows, tools, and development practices., • Manage and mentor a growing team of data engineers; foster a culture of technical excellence, accountability, and continuous improvement., • Establish metrics to track progress, communicate priorities, and demonstrate business impact., • Define and maintain data governance standards and proactively manage stakeholder expectations to drive scalable, trusted data use., • Drive reliability, scalability, observability, security, and cost-efficiency improvements across our data stack., • Own company-wide KPI reporting, including ad hoc analysis, product analytics, and dashboard development, ensuring the team delivers clear, accurate insights in response to evolving business questions.Requirements, • 2+ years managing and mentoring data and analytics engineers, with a focus on execution and delivery, and 6+ years of data or analytics engineering experience total, • Proven ability to drive team operations, including sprint ceremonies, roadmap planning, and prioritization, • Hands-on background in building and maintaining ELT pipelines using SQL, DBT, and OLAP databases like Snowflake, • Proficiency in one or more programming languages (Python preferred), with the ability to guide and review technical work., • Experience with workflow orchestration tools like Dagster, Airflow, Prefect., • Skilled in developing scalable reporting solutions using tools like Tableau or Hex, and enabling self-serve analytics across the organization, • Strong data modeling, provenance, and governance skills to support extensible, trusted, and consistent reporting and patterns, • Track record of improving team processes, optimizing workflows, and delivering measurable impact, • Experience being an effective cross-functional partner with Machine Learning, Product, Analytics, and Engineering, aligning data work with business goals, • Clear, concise communicator who can translate complex technical concepts for non-technical stakeholders, • Comfortable navigating ambiguity, breaking down complex problems, and driving iterative solutions, • Committed people leader with a history of coaching talent and fostering a high-performance, inclusive team culture, • Familiarity with healthcare data standards (e.g. HIPAA, FHIR) is highly desirable, • Experience with AWS cloud technologies is preferredBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. Additional Information The total target base compensation for this role will be between $200,000 and $265,000 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. 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 Description Capnexus is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capnexus is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require. Who You Are and What You'll Do: Capnexus is looking for a highly skilled Senior AWS Data Engineer to lead data architecture, pipeline development, and ERP integration for a 12-week AI-powered modernization engagement in the construction industry. This role is focused on designing and implementing the data engineering backbone of an intelligent subcontractor pre-qualification platform, including CMIC ERP API integration, Amazon Textract data extraction pipelines, ETL development using AWS Glue, and data quality validation. This is an exciting opportunity to apply advanced cloud data engineering skills on a platform that leverages generative AI to automate and modernize enterprise workflows. Responsibilities: • Lead data architecture design, API assessment, and ETL requirements gathering during the Discovery & Design phase., • Develop and configure CMIC ERP API integration to establish reliable data exchange between the ERP system and the AWS platform., • Design and implement data pipelines using AWS Glue for ETL processing of subcontractor documents and ERP data., • Integrate Amazon Textract to extract structured data from insurance certificates, bonding letters, and financial documents., • Build and maintain data models to support AI-powered validation, risk profiling, and executive reporting., • Configure Amazon S3 data lake architecture to store and manage raw, processed, and curated data assets., • Implement AWS Lambda and AWS Step Functions to orchestrate data workflows and automated processing pipelines., • Develop and expose data through Amazon API Gateway to support application and dashboard consumption., • Ensure data quality, validation, and integrity across all integration points and pipeline outputs., • Conduct data integration testing and support user acceptance testing (UAT) for data-dependent features., • Collaborate with Full Stack, AI/ML, and DevOps team members to ensure seamless end-to-end data flows., • Contribute to knowledge transfer documentation, data pipeline runbooks, and operations guides. Qualifications: • 5+ years of data engineering experience, with at least 2+ years working in AWS cloud environments., • Strong proficiency in SQL and experience with AWS database services including RDS, DynamoDB, and Aurora., • Hands-on experience with AWS Glue for ETL development and data pipeline orchestration., • Experience integrating with ERP systems or enterprise APIs, with ability to assess and document API capabilities., • Working knowledge of Amazon Textract for automated document data extraction., • Proficiency with Amazon S3 for data lake design, storage management, and lifecycle policies., • Experience with AWS Lambda and AWS Step Functions for serverless data workflow orchestration., • Solid understanding of data modeling, data quality validation, and integration testing practices., • Familiarity with Amazon API Gateway for exposing data services to downstream consumers., • Strong analytical, problem-solving, and communication skills with the ability to work in Agile/Scrum teams. Nice to Have: • Experience with Amazon Bedrock or AI/ML-integrated data pipelines., • Familiarity with CMIC ERP or similar construction industry enterprise resource planning systems., • Experience with GraphQL APIs or AWS AppSync., • Knowledge of TypeScript or Python for pipeline scripting and Lambda function development., • AWS Certification (Data Analytics Specialty, Database Specialty, or Solutions Architect)., • Background in construction, insurance, or financial services industries. "Our Culture": At Capstone, the central principles that we all adhere to, and the glue that holds us together, are our keystones. Our four keystones are: "A Customer Obsessed, Delivery Focused, Culture" • We're driven to exceed our customers' expectations by listening, leading, solving problems, and delivering what we promise, • We value "Lifetime Learners"; those who are hungry, competitive, curious, and self-motivated in their pursuit of knowledge., • Personal and professional growth depends on teamwork and continuous learning. By sharing knowledge, skills, ideas, and effort, we benefit our customers, ourselves, and our communities., • We recognize that the thoughts, feelings, and backgrounds of others are as important as our own. Everyone has something to learn and everyone has something they can teach., • Growth comes from not establishing barriers in your role. "Cross functional skill sets are valued and help us deliver to our customers in a truly agile fashion. It comes with understanding that when asked to do something new, you will need support, have questions, and make some mistakes along the way., • The most elegant solution is a simple solution. Simple doesn't mean easy. It's often more difficult to break a complex problem down into simple, scalable terms. We don't appreciate, or value, over architected solutions or superfluous coding., • No matter how small a project or assignment appears, every single engagement is an opportunity for us to prove ourselves, build trust, and develop relationships that last and grow, • Every task, interaction, and commitment matters, • Big or small, we execute our plans and strategies with focus, commitment, and passion We offer: Job Type: Full-time, 1099 Duration: Short-term Benefits: • Remote work Capnexus is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive and safe environment for all employees. Experience comes in many forms, and we're dedicated to adding new perspectives to the team. We encourage you to apply even if your experience doesn't perfectly align with what we have listed. We look forward to hearing from you. No Agencies Please!

Job DescriptionStrength in Trust OneTrust's mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn't slow teams down—it should accelerate what's possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge Data Platform Engineer will be part of an innovative Enterprise data team that enables Marketing, Product, Sales, and Finance to explore data and take actions that differentiate us from our competition. You will work closely with data engineers, data architects, domain experts and business analysts to understand business requirements and help to build best in class data platform solutions and architecture for scale. Your Mission • You will work closely with data engineers, data architects, domain experts and business analysts to understand business requirements and help to build best in class data platform solutions and architecture for scale., • Build and automate modern data platforms (AWS, AZURE, Snowflake) with native technologies, deploy applications, and provision of infrastructure., • Perform Administration, Maintenance and provide support to production systems (Snowflake, Fivetran, DBT, Power BI, Airflow), • Build and maintain CI/CD pipelines and infrastructure as code (IaC) practice across the platform for safe and reproducible deployments., • Design, build and implement automation framework for scale that deliver data with measurable quality under the SLA, • Drive technical conversations with stakeholders to understand the platform's needs and come up with a provisioning strategy., • Work effectively using scrum with multiple team members to deliver value effectively. Your Experience Includes • Bachelor's or master's degree in computer science, Engineering or related field, • 3+ years of overall experience and 3+ years of experience with very large-scale data warehouse projects., • Strong experience in SQL, knowledge of dimensional modeling, supporting data warehouse, scaling, optimizing and performance tuning ETL pipelines, • 1+ years of experience with Python and manipulation of various data formats for extraction and transformation, • 1+ years of experience with Snowflake, Airflow, ETL/Integration tools administration., • Hands-on experience with Data Warehouse technologies (Snowflake, Redshift) and Big Data technologies (Hadoop, Hive, Spark, Kafka, Kinesis), • Experience evaluating new tools and enriching existing architecture, • You are a self-starter, hands-on technical expert who continuously gather and synthesize high-impact needs from business partners, design and implement the appropriate technical platform solution, and effectively communicate about deliverables, timelines and tradeoffs For California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington-based candidates: the annual base pay range for this role is listed below. Within this range, individual pay is determined by several factors, including location, job-related skills, work experience, and relevant education and/or training. This role may also be eligible for discretionary bonuses, equity, and/or commissions, as well as benefits. Salary Range$81,150—$121,725 USDWhere we Work We are embracing an office-first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person. Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview. Benefits As an employee at OneTrust, you will be part of the OneTeam. That means you'll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers. Resources Check out the following to learn more about OneTrust and its people: • OneTrust Careers on YouTube Recruitment fraud warning: OneTrust is aware of scams involving false offers of employment with our company. The fraudulent jobs, interviews and job offers use fake websites, email addresses, group chat and text messages. Be aware that we never ask candidates for personal information, IDs or bank information during the interview process. We do not interview prospective candidates via instant message or group chat, and do not require candidates to purchase products or services, or process payments on our behalf as a condition of any employment offer. Please note that any legitimate interview availability requests will come directly from a OneTrust recruiter with an "@onetrust.com" email address. You may also receive legitimate emails from "@us.greenhouse-mail.io". Recruiters will only reach out to candidates who have applied for a role through our ATS (Greenhouse) or prospects via LinkedIn InMail. Job offers will come from a recruiter and may have a "@docusign.net" email address. For more information or if you have been targeted please reach out to . Our Commitment to You When you join OneTrust you are stepping onto a launching pad — the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career. OneTrust provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.

Job DescriptionSalary: At Derevo, we empower companies and people by unlocking the value of our clients data and enhancing the talent of those who transform it. With more than 15 years of experience, we design end-to-end Data & AI solutions: from integration into modern architectures to the implementation of intelligent models in key business processes. We are looking for aGCP Data Architect with more than 10 years of experience transforming complex data ecosystems into strategic business assets. Expert in designing and deploying enterprise-scale Data Warehousing solutions using the Google Cloud Platform (GCP) stack. The key differentiator for this role is the ability to act as a bridge between technology and business, translating KPIs and objectives from business leaders into robust, scalable, and results-oriented architectures. Core Technical Stack Expert / Strong command • Business-to-Tech Translation: Proven experience collaborating directly with C-Level executives and Business Directors to define requirements, manage expectations, and present technology roadmaps. Ability to lead technical discussions and negotiations., • Data Integration & Orchestration: Cloud Dataflow (Apache Beam for ETL/ELT + dbt) and Cloud Composer (Apache Airflow)., • Architecture Design: Design of data pipelines in both streaming and batch, ensuring high availability and minimal latency., • Data Warehousing: Google BigQuery (cost optimization, partitioning, clustering, and data modeling)., • Governance & DevOps: Data Catalog, IAM, CI/CD for data pipelines. Key Professional Competencies: Nice to have • Business Intelligence: Understanding of BI concepts and processes, with exposure to tools such as Tableau or Qlik., • Bilingual Communication: Full fluency in English required, Spanish is a plus. Your benefits with Derevo WELLNESS: We promote personal, professional, and financial well-being. LETS RELEASE YOUR POWER: Opportunities to specialize and grow across different technologies and domains. WE CREATE NEW THINGS Freedom and support to design innovative data solutions. WE GROW TOGETHER Participation in cutting-edge, multinational technology projects with diverse teams. Where will you do it? Hybrid model, working 2 to 3 days per week from our offices in New Jersey (07302). If you meet most of the requirements and are interested in the challenge, apply! Our Talent Acquisition team will contact you. Become a Derevian and develop your superpower

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 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 Description WisdomTree is seeking a Head of Financial and Business Intelligence to join our Technology and Data organization, reporting to the Chief Information Officer. This is a senior leadership role and a key thought partner to the COO and President, CIO, and senior business leaders, shaping how WisdomTree turns sales, marketing, client, product, and financial data into sharper strategic insight, better forecasting, and stronger business decisions across the firm. This role will serve as the firm’s central intelligence function, transforming data into actionable insight that informs strategic decision-making across sales, product development, client engagement, and financial management. The ideal candidate will combine deep asset management and distribution fluency with strong commercial judgment, executive presence, and a hands-on operating style, and will be equally comfortable setting the agenda, challenging assumptions, building the analysis, and delivering the narrative to senior leadership. Responsibilities • Set the vision and lead the Financial and Business Intelligence function, establishing the operating model, priorities, standards, and talent strategy for a firmwide capability that serves as WisdomTree’s central source of business and financial insight., • Own the firm’s management information and executive insight agenda, ensuring that reporting, dashboards, and performance reviews are accurate, timely, decision-oriented, and broadly adopted across the organization., • Build and govern a trusted enterprise data foundation for sales, marketing, research, and financial intelligence, including accountability for data quality, metric definitions, controls, governance, and the integrity of underlying ETL and reporting processes., • Generate proactive business intelligence and strategic insight by identifying trends, anomalies, risks, and growth opportunities, and translating data into clear recommendations that improve commercial, product, and financial decision-making., • Lead forecasting, scenario analysis, and performance diagnostics to support resource allocation, business planning, client and channel strategy, and senior management decision-making., • Partner with senior leaders across Sales, Marketing, Research, Finance, and Technology/Data to align KPIs, evaluate business performance, and embed a consistent, enterprise-wide view of results and opportunities., • Build and manage a distributed team model, with analytics partners aligned to major business areas while maintaining centralized standards, shared tooling, common definitions, and consistent governance across the function., • Advance the use of AI and automation across the intelligence lifecycle, applying modern tools and agentic workflows to improve analytical speed, insight generation, forecasting quality, reporting efficiency, and self-service decision support.Required Qualifications/Skills & Experience, • Bachelor’s degree in Finance, Economics, Business, Data Analytics, Computer Science, Statistics, or a related field., • 15+ years of experience in business intelligence, strategic analytics, financial planning, commercial or revenue intelligence, or related roles, including meaningful leadership experience in asset management or closely related financial services., • Strong knowledge of asset management distribution, sales and marketing processes, executive reporting, KPI design, forecasting, trend analysis, and data governance, with the ability to connect data to commercial outcomes and business actions., • Demonstrated experience building trusted reporting environments, improving data quality, and establishing scalable management information practices that are broadly adopted by business stakeholders., • Proficient in Salesforce or comparable CRM platforms, Power BI or similar BI tools, SQL, Excel, and modern data and AI tooling; comfortable working across reporting layers, data models, ETL workflows, and automation-enabled analytics environments., • Experience leading high-performing teams in a distributed or federated operating model, with the ability to balance enterprise standards with strong business partnership., • Excellent leadership, executive communication, analytical, storytelling, and cross-functional influencing skills, with a demonstrated ability to operate strategically while remaining hands-on in analysis and presentation development.Preferred/Nice to Have, • Direct experience working in, or closely supporting, asset management sales, marketing, distribution, product, or client strategy teams., • Experience designing executive dashboards and management reporting used by senior leadership to monitor business performance, commercial trends, and strategic priorities., • Experience developing sales pipeline, net flow, or related forecasting models, ideally in an asset management, wealth, or financial services environment., • Familiarity with product adoption analytics, advisor segmentation, and client intelligence frameworks used to assess commercial effectiveness, identify growth opportunities, and support targeted business actions., • Experience building AI-enabled analytics workflows or agents using platforms such as Databricks AI Agents, Microsoft AI Foundry, Salesforce Agentforce, or similar enterprise AI frameworks., • Advanced degree and/or certifications in Salesforce, Microsoft Power BI, CFA, CAIA, or related analytics disciplines.Compensation for this role:, • Base salary range of $250-300K.**

Job Description Exciting role, first of its kind, with a company that is rapidly expanding, wildly successful, and has been a disruptive force in a 50 billion dollar industry. They are the recipients of numerous awards, and have been the focus of several recent tech conferences, and exclusive partnerships with Facebook,. What you'll do: • Lead the ideation, technical development and launch of internal and external-facing data products, • Drive product development with the Data Engineering team, • Supercharge business's ability to execute by partnering with the company’s senior leadership (Product, Marketing, Sales, etc.), gathering business requirements and translating them into a prioritized, semi-annual data roadmap, • Define and implement a company-level data strategy including information architecture, ongoing audit and evaluation of data tools and definition of a data dictionary, • 6+ years as a Data Product Manager in the tech industry, • Subject-matter expertise in the most common languages and tools used across Data Science and Data Engineering (Python, ETL processes and tools, Segment, Amplitude, Looker, etc.), • 3+ years of experience in Kanban or Scrum, • 3+ years of experience influencing and managing stakeholder relationships across multiple cross-functional teams Opportunity to join a talented team, with leadership and a collection of people from the top shops in NYC. Great salary, equity, 401k, full benefits, lunch many of other perks.

Job Description Role – Business Data Analyst Job Summary: We are seeking a Business Data Analyst with a strong background in large-scale data applications, data analysis, and transformation to support enterprise-level initiatives in the Property & Casualty (P&C) Insurance domain. The ideal candidate will bring hands-on expertise in SQL, data mapping, and business analysis, along with deep domain knowledge of policy and claims data. This role requires close collaboration with business stakeholders, SMEs, and technical teams to drive data accuracy, consistency, and value. Key Responsibilities: • Perform end-to-end data analysis, including data profiling, validation, and transformation for large-scale data integration and reporting projects., • Develop source-to-target data mappings (STTM) and documentation based on business requirements., • Collaborate with business users and stakeholders to gather, analyze, and translate functional requirements into technical specifications., • Work with data engineers and developers to implement and validate data consolidation, standardization, and transformation logic., • Optimize complex SQL queries for performance and accuracy in handling large datasets., • Participate in data quality assessments and recommend data cleansing or enrichment strategies., • Leverage domain knowledge of Property & Casualty Insurance—including policy administration and claims lifecycle—to ensure data alignment with business processes., • 5+ years of hands-on experience in data analysis, data mapping, and data transformation within enterprise data environments., • Strong proficiency in SQL, including analytical functions, query optimization, and performance tuning., • Proven experience developing source-to-target mapping (STTM) documents and understanding ETL/data flow processes., • Exposure to data consolidation, standardization, and transformation across heterogeneous data sources., • In-depth knowledge of the Property & Casualty Insurance domain,, • Exceptional communication and interpersonal skills—able to work effectively with technical teams, business stakeholders, and subject matter experts., • Strong documentation skills with the ability to create clear and concise technical and business artifacts.

Senior Level Data Architect with data analytics experience, Databricks, Pyspark, Python, ETL tools like Informatica. Hands-on data analytics experience with Databricks on AWS, Pyspark and Python. Data Analyst / Data Engineer with Databricks on AWS expertise in designing and implementing scalable, se

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 As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond. What you'll do • Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets, • Design and own data architecture for large-scale projects while managing operational trade-offs, • Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains, • Define and manage Service Level Agreements (SLAs) for all owned data sets, • Implement data security models, ensure privacy compliance, and evolve data governance processes, • Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data, • Maintain production processes by optimizing complex code using advanced algorithmic concepts, • Streamline data artifact development by optimizing pipelines, dashboards, and frameworks, • Mentor team members through actionable feedback to foster collective skill growth, • Maintain flexibility with availability during evening hoursWhat we're looking for, • Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, • master's degree is preferred, • 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud, • 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems, • Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt, • Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres, • Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines, • Ability to deliver high standards of code quality, system reliability, and performance, • Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments, • Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNSWhile not required, these are a plus:, • Experience with Spark and PySpark 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 $160,000.00 USD to $220,000.00 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 Description Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role We’re hiring a Forward Deployed Engineer to work directly with our customers—bringing technical expertise, problem-solving skills, and a builder’s mindset to every engagement. You’ll own onboarding and implementation for new customers, integrate Stuut with their ERP and workflow systems, and deliver custom solutions that drive measurable results. This is a high-impact role for someone who can write production-quality code, communicate with both executives and engineers, and thrive in the field. You’ll act as the bridge between customer needs and Stuut’s platform, ensuring each deployment delivers real value while helping shape the future of our product. What You’ll Do * Lead Implementations: Manage onboarding from setup through integration and launch for new customers. * Integrate & Automate: Own integrations with platforms like Netsuite, SAP, Salesforce, and other ERPs; write scripts, build automations, and develop custom solutions as needed. * Collaborate Cross-Functionally: Work with Sales and Customer Success to deliver a seamless technical customer journey. * Drive Process Improvements: Identify and fix inefficiencies in our deployment workflows. * Influence the Product: Provide real-world feedback to the product team to help shape the roadmap. * Support Scale: Build technical documentation and internal tools to make customer deployment faster and easier. * Be in the Field: Travel to client sites to meet customers, deploy solutions, and build relationships. You Might Be a Fit If You… * Have 3+ years in a technical customer-facing role (e.g., Solutions Engineer, Implementations Engineer, FDE). * Are fluent in Python and skilled with modern integration technologies (APIs, ETL/ELT, enterprise auth). * Take ownership and have a bias toward building and improving. * Have experience working with sales teams in both pre- and post-sales contexts. * Have worked in startups or high-growth environments. * (Nice to Have) Experience with AI/ML-powered automation, fintech integrations, developer tools, cloud platforms, or containerization. Compensation * Top-of-market salary and equity package * Benefits (for U.S.-based full-time employees) * Medical, dental & vision insurance coverage for you * 401(k) & Match * Equity * Flexible PTO * Parental Leave Compensation Range: $150K - $240K

Job DescriptionCompany Description OUR STORY: Equinox Group is a high growth collective of the world's most influential, experiential, and differentiated lifestyle brands. We restlessly seek what is next for maximizing life - and boldly grow the lifestyle brands and experiences that define it. In addition to Equinox, our other brands, SoulCycle and Equinox Hotels are all recognized for inspiring and motivating members and employees to maximize life. Our portfolio of brands is recognized globally with locations within every major city across the United States in addition to London, Toronto, and Vancouver. OUR CODE: We are passionate about high performance living and we practice what we preach – investing time in our own health and fitness. We believe that everyone has untapped potential within them and it takes a disruptive approach to unleash it. We dream big and don’t settle for the status quo. We sweat the details. We never accept less than 110% to help each other deliver the Equinox experience and enable our members to get great results. We are obsessed with what’s new, what’s now, what’s next. Never following, always leading, and living ahead of the moment in fashion, culture, and consumer behavior. We aren’t just a company; we’re a community vested in each other’s success. We value humility and a team approach at every level of the company. If you are a high performing individual who is passionate about winning and inspiring others then we are excited to discuss career opportunities with you. Job Description Equinox is seeking a Data Engineer to join our technology team. This role is a hands-on position responsible for the build and continued evolution of the data platform, business applications and integration tools. We are looking for a hands on engineer that can recommend best practices to work with enterprise data. The ideal candidate is going to be a hands on engineer, and very strong with AWS Products to help build out data pipelines, create jobs, manage the quality of the data warehouse and integrated tools. This is a full-time role located in our NYC office. RESPONSIBILITIES • Design, develop, and maintain scalable, efficient data pipelines to support ETL/ELT processes across multiple sources and systems, • Partner with Data Science, Analytics, and Business teams to understand data needs, prioritize use cases, and deliver reliable datasets and models, • Monitor, optimize, and troubleshoot data jobs, ensuring high availability and performance of data infrastructure, • Build and manage data models and schemas in Redshift and other data technologies, enabling self-service analytics, • Implement data quality checks, validation rules, and alerting mechanisms to ensure trust in data, • Leverage AWS services like Glue, Lambda, S3, Athena, and EMR to build modular, reusable data solutions, • Drive improvements in data lineage, cataloging, and documentation to ensure transparency and reusability of data assets, • Create and maintain technical documentation and version-controlled workflows (e.g., Git, dbt), • Contribute to and promote a culture of continuous improvement, mentoring peers and advocating for scalable and modern data practices, • Participate in sprint planning, code reviews, and team retrospectives as part of an Agile development process, • Stay current on industry trends and emerging technologies to identify opportunities for innovation and automationQualifications, • 6+ years of experience in software/data engineering, with a proven track record of building robust data systems (prior leadership or mentorship experience is a plus), • Advanced Python, including experience building APIs, scripting ETL processes, and automating workflows, • Expert in SQL, with ability to write complex queries, optimize performance, and work across large datasets, • Hands-on experience with AWS data ecosystem including Redshift, S3, Glue, Athena, EMR, EC2, DynamoDB, Lambda, and Redis, • Strong understanding of data warehousing and data modeling principles (e.g., star/snowflake schema, dimensional modeling), • Familiarity with dbt Labs and modern ELT/analytics engineering practices, • Experience working with structured, semi-structured, and unstructured data, • Knowledge of data governance, quality assurance, and observability tools to ensure data integrity and trust, • Proficiency in creating technical documentation, SOPs, and maintaining clear communication with cross-functional teams Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Job DescriptionData Engineer Employment Type: Full-Time, Mid-levelDepartment: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients’ toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:-Complete development efforts across data pipeline to store, manage, store, and provision to data consumers.-Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices.-Write code to ensure the performance and reliability of data extraction and processing.-Support continuous process automation for data ingest.-Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing.-Work with program management and engineers to implement and document complex and evolving requirements.-Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork.-Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications:-Must be a US Citizen.-Must be able to obtain a Public Trust Clearance.-7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models.-Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats.-Proficiency in developing ETL processes, and performing test and validation steps.-Proficiency to manipulate data (Python, R, SQL, SAS).-Strong knowledge of big data analysis and storage tools and technologies.-Strong understanding of the agile principles and ability to apply them.-Strong understanding of the CI/CD pipelines and ability to apply them.-Experience with relational database, such as, PostgreSQL.-Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have:-Experience creating and consuming APIs.-Experience with DHS and knowledge of DHS standards a plus.-Candidates will be given special consideration for extensive experience with Python.-Ability to develop visualizations utilizing Tableau or PowerBI.-Experience in developing Shell scripts on Linux.-Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions.-Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package:-Health, Dental, and Vision-Life Insurance-401k-Flexible Spending Account (Health, Dependent Care, and Commuter)-Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: For more information about CGS please visit: or contact:Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Overview We are seeking a Microsoft Fabric Data Engineer with Agentic AI experience to design, build, and maintain scalable data solutions within the Microsoft Fabric ecosystem. This role is responsible for developing robust data pipelines, implementing Medallion architecture (Bronze, Silver, Gold layers), and ensuring high-quality, analytics-ready datasets. The ideal candidate will have hands-on experience with Microsoft Fabric components (Data Factory, OneLake, Lakehouse, Warehouse, and Power BI), strong data engineering fundamentals, and the ability to support advanced analytics and AI initiatives. Key Responsibilities • Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric (Data Factory, Pipelines, Notebooks), • Implement and manage Medallion architecture (Bronze, Silver, Gold layers) to ensure data quality, governance, and usability, • Ingest, transform, and integrate data from multiple structured and unstructured sources, • Optimize data workflows for performance, scalability, and cost efficiency, • Build and maintain Lakehouse and Data Warehouse solutions within Fabric, • Ensure data reliability through monitoring, logging, and error-handling mechanisms, • Collaborate with stakeholders to translate business requirements into scalable data solutions, • Enforce data governance, security, and compliance best practices, • Document data models, pipelines, and system architecture, • Contribute to roadmap planning and platform evolution Database & Power BI Oversight • Design enterprise-grade data models optimized for Power BI and analytics workloads, • Oversee creation and management of semantic models and datasets within Fabric, • Oversee dataset performance, refresh strategies, and capacity management in Power BI, • Implement data modeling best practices (star schema, normalization where appropriate), • Support development of dashboards and reports by providing curated, high-quality datasets, • Manage access control, row-level security (RLS), and data lineage visibility, • Manage Power BI capacity, dataset refresh strategies, and scalability considerations, • Collaborate with BI developers to optimize DAX performance and reporting efficiency, • Monitor usage and adoption metrics to improve data accessibility and usability AI Readiness & Advanced Analytics • Prepare and structure data to support AI/ML use cases within Microsoft Fabric and Azure ecosystem, • Enable feature engineering by delivering clean, enriched, and well-governed datasets, • Support integration with AI tools such as Azure Machine Learning, Fabric Data Science, and Copilot experiences, • Implement data pipelines that support real-time or near real-time analytics where needed., • Ensure datasets are scalable and aligned with AI model training requirements., • Promote best practices for data versioning, reproducibility, and experimentation. Qualifications • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field., • 7+ years of experience in data engineering or related roles., • Hands-on experience with Microsoft Fabric or closely related tools (Azure Synapse, Azure Data Factory, Power BI)., • Strong expertise in Medallion architecture and modern data lake/lakehouse patterns., • Proven experience building and maintaining data pipelines (ETL/ELT)., • Proficiency in SQL, Python, and/or Spark., • Experience with Lakehouse architectures and distributed data processing., • Strong understanding of data modeling and data warehousing concepts. Desired Skills & Competencies • Experience with OneLake, Delta Lake, and Fabric-native workloads., • Experience with Data Agents, Copilot Studio and Microsoft Foundry, • Familiarity with CI/CD pipelines for data solutions., • Power BI adoption and user satisfaction across business units., • Delivery of AI-ready datasets and agentic AI pilot outcomes, • Security compliance and incident prevention Key Competencies • Strong problem-solving and analytical thinking, • Attention to detail and data quality focus, • Ability to work cross-functionally with technical and business teams, • Excellent communication and documentation skills, • Continuous learning mindset in evolving data and AI technologies Performance Metrics • Data integrity and availability across all departments, • System uptime and query performance, • Power BI adoption and user satisfaction across business units, • Reduction in time-to-action based on data insights, • Successful onboarding and reliability of third-party integrations, • Delivery of AI-ready datasets and agentic AI pilot outcomes, • Security compliance and incident prevention, • Adoption of best practices as informed by industry trends This role is essential for Garan Apparel's enterprise data transformation, integrating Azure and Microsoft Fabric with best practices in data, security, AI readiness, and team collaboration—while ensuring that every user, from executive to analyst, can understand, trust, and act on data with confidence. Salary: $150,000

Job DescriptionWe are looking for an experienced MES Data Architect to lead and execute complex data migration, integration, and cutover activities for Manufacturing Execution Systems (MES) implementations and upgrades. This is primarily a data-focused role but it requires deep subject-matter expertise in MES to correctly interpret, map, transform, and validate manufacturing data from legacy systems into modern MES platforms (particularly Solumina or DELMIA Apriso). The ideal candidate has led multiple MES-related data migrations or large-scale integrations (especially involving SAP), understands manufacturing operations at a detailed level, and can bridge the gap between business/process needs and technical data delivery. Key Responsibilities • Lead end-to-end data migration for MES implementations, upgrades, or consolidations (legacy MES new MES, ERP MES, or MES consolidation projects), • Perform detailed source-to-target data mapping for manufacturing-critical entities: BOMs, routings, work instructions, material masters, equipment, process parameters, quality specs, genealogy/traceability data, production history, as-built records, etc., • Design and execute data extraction, transformation, and load (ETL) processes specific to MES platforms, • Build and maintain complex data migration scripts, transformation rules, staging tables, and validation frameworks, • Lead data cleansing, enrichment, harmonization, and defect resolution activities in collaboration with manufacturing, quality, and engineering teams, • Perform MES integration and data synchronization design & implementation (master data, production orders, material movements, quality results, etc.), • Support cutover planning, dry runs, mock go-lives, and hypercare for data migration and integration scope, • Conduct data validation, reconciliation, and business sign-off at multiple stages (pre-load, post-load, post-go-live), • Translate manufacturing business rules and production processes into precise data transformation logic and validation criteria, • Troubleshoot complex data-related issues during migration, integration, and go-live phases, • Create and maintain high-quality migration documentation: mapping spreadsheets, transformation rules, validation scripts, cutover checklists, issue logs, • Collaborate closely with MES configuration teams, SAP functional teams, manufacturing SMEs, and quality assurance groups Must-Have Qualifications • 8+ years of hands-on experience working with Manufacturing Execution Systems (MES), • Proven deep functional and technical expertise in at least one major MES platform strong preference for Solumina or Apriso, • Multiple end-to-end data migration experiences in MES or MES-adjacent projects (legacy MES replacement, ERP integration, multi-site consolidation, etc.), • Solid understanding of manufacturing master data and transactional data models (BOMs, routings, work centers, material lots/serial numbers, quality characteristics, production/quality results, equipment status), • Advanced proficiency in SQL, data modeling, and ETL concepts, • Demonstrated ability to understand and document complex manufacturing processes and translate them into data requirements, • Excellent analytical, problem-solving, and data reconciliation skills, • Strong collaboration and communication skills must be able to work effectively with both technical teams and shop-floor subject matter experts Strongly Preferred • Direct configuration, implementation, or support experience with Solumina or Apriso, • Previous experience leading SAP MES or MES MES data migrations, • Exposure to SAP data migration tools/methodologies (Migration Cockpit, LTMC, LSMW, custom ABAP, BODS, etc.), • Experience in regulated industries (aerospace, defense, automotive, medical devices), • Familiarity with data quality tools, profiling tools, or ETL platforms (Talend, Informatica, SSIS, etc.) Nice to Have • Scripting/programming experience (Python, Java, C#, Groovy, or platform-specific scripting), • Knowledge of MESPLMERP integration patterns, • Understanding of Industry 4.0 data flows and digital thread concepts, • Experience with test data management and synthetic data generation for manufacturing Why This Role? This is a high-impact position at the intersection of manufacturing operations, MES domain knowledge, and mission-critical data migration. You will play a decisive role in ensuring that production-critical data is accurately, completely, and safely transitioned enabling successful go-lives and long-term system reliability. This is a remote position.

Job Description Create is hiring an Analytics Lead to help build and scale our analytics foundation from the ground up. This will be our first analytics hire, working closely with the Head of Data to design data models, build self-service analytical frameworks, and turn messy questions into clear, trusted insights. This role is ideal for a strong generalist who can do hands-on Analytics Engineering work and partner with the business on measurement, analysis, and decision-making. You’ll have a pivotal role in shaping how analytics works at Create, from dbt models to Omni dashboards to how teams ask and answer questions with data. What You'll Do: Analytics Engineering & Data Modeling • Design and build clean, DRY, & documented dimensional data models using dbt, • Implement best practices around testing, documentation, and model organization, • Build analytics tables, metrics, and dashboards in Omni that enable self-service, • Apply strong data product thinking: design datasets and dashboards that are intuitive, reliable, and reusable, • Partner with stakeholders to define metrics, measurement approaches, and success criteria, • Perform deep-dive analyses to uncover insights and inform decisions, • Translate ambiguous business questions into structured analytical approaches, • Own stakeholder relationships, acting as a trusted analytics partner, • Proactively identify gaps, opportunities, and improvements in our analytics stack, • Teach and enable teammates to better use data, dashboards, and metrics, • 3-6+ years working in analytics, analytics engineering, data engineering, or data science, • Strong experience with data modeling and analytics engineering (dbt experience strongly preferred), • Advanced SQL skills, including query optimization and working with large datasets, • Hands-on experience with at least one modern BI tool (Omni or Looker experience is a big plus), • Working knowledge of cloud data warehouses (Snowflake, BigQuery, Redshift, etc.), • Familiarity with the modern ELT/ETL landscape and data tooling, • Strong analytical intuition — you know how to measure things that actually matter, • Comfortable operating with ambiguity and building from a blank slate, • Clear communicator who enjoys teaching and enabling others, • Competitive compensation including salary and equity, • Fully-paid health, dental, and vision insurance, • Downtown Manhattan office (4 days in office), with flexible work setup and 15 days of PTO Why You'll Love Working Here: At Create Wellness, we're building a category-defining wellness brand that helps people feel their best every day. You'll join a small, high-output team where your work will have immediate and visible impact. We move quickly, expect a lot from ourselves and each other, and have fun while doing it.

Candidates should have 12–15 years of expertise in SQL Server, Python, and Linux, focusing on architecting scalable and reliable database systems.

Job Description Who We Are: Welcome to Noldor, we are on a mission to revolutionize how insurance data powers the program and specialty insurance marketplace. Don’t let the word "insurance" fool you, insurance is a dynamic and rapidly evolving marketplace, and we are at the forefront of its transformation. At Noldor, we are building a groundbreaking platform that redefines data exchange, empowering MGAs (Managing General Agents), carriers, and reinsurers to harness data for more informed, strategic decision-making. Since our start in 2021 at the DESCOvery venture studio, we’ve been on a roll - building an energetic, supportive, and driven team that's fearless about tackling some of the toughest challenges in this $5 trillion industry. We work hard, laugh harder, and believe in the impact we’re making together. If you're ready to be part of a transformative journey, let’s reshape this industry side by side! About The Role: Reporting to the Product Manager, the Product Owner will support product development by managing product documentation, analyzing usage data, assisting with sprint coordination, serving as a subject matter expert across internal teams, and overseeing the software development lifecycle. This role is essential in keeping product operations organized, ensuring clarity in requirements, and helping teams and stakeholders stay aligned with product goals. What You’ll Do: * Create and maintain feature specs, release notes, and user guides that help internal teams understand how the product works. * Own and prioritize the product backlog to align with product vision and business goals, ensuring clarity and accessibility for the development team. * Work with the product team and stakeholders to clarify requirements, define user stories, and break down initiatives into detailed tasks. * Create, maintain, refine, and prioritize tickets in JIRA - including acceptance criteria, priorities, dependencies, and story points. * Partner with engineers daily to ensure clear understanding of requirements, support technical feasibility discussions, and resolve blockers quickly. * Assist in refining the product backlog to ensure items are ready for upcoming sprints, aligned with business priorities, and scoped appropriately. * Support the Business Data Analyst (end-user) team and other internal groups with training and materials for new features. * Assist with user testing and QA by validating that new features meet user expectations and business needs. * Develop a strong understanding of Noldor’s product to assist in answering internal questions and surfacing feedback. Who You Are: * 1–2 years of experience in a technical product, business analyst, or data analyst role; experience in SaaS, ETL, or data platform companies is a plus. * Background or familiarity with Property & Casualty Insurance, MGA/carrier data, or insurance premium and loss data is a must. * Comfortable working with product documentation and technical concepts like APIs or data structures (you don’t have to code!) * JIRA experience or any ticket/support management system is a plus * Curious, detail-oriented, and able to break down complex concepts into clear, actionable insights * Strong communication skills, especially in writing - able to create clean, easy-to-follow documentation Analytical mindset - you enjoy diving into data, spotting patterns, and making recommendations * Comfortable in a fast-paced, evolving environment where priorities shift and ambiguity is part of the job

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 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.