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We're looking for an expert Middleware Developer to act as the technical bridge between the Shopify Plus ecommerce ecosystem and backend enterprise services. In this role, you will design, build, and maintain the integration layer that ensures seamless data synchronization across different business systems. As a key member of our engineering team, you'll ensure our solutions are performant, reliable, and perfectly aligned with our clients' business needs. You will be responsible for extracting, transforming, and loading (ETL) complex datasets, ensuring that data flowing between Shopify and internal systems (ERP, CRM, WMS, POS) is accurate, timely, and formatted correctly. • Integration Architecture: Design and develop scalable middleware solutions to connect Shopify with external enterprise systems (e.g., SAP, Oracle, NetSuite, Salesforce)., • Middleware Experience: Must have hands-on experience with at least one of the following SaaS technologies: Mulesoft, Celigo, Workato, N8N, Pipe17, etc., • Data Transformation: Write robust code to ingest data from various sources, apply complex business logic to transform data formats (e.g., converting Shopify JSON payloads to SOAP/XML for legacy ERPs), and deliver it to the target system., • Shopify API Management: Utilize the Shopify Admin API (REST and GraphQL) and Storefront API to manage products, orders, customers, and inventory programmatically., • Workflow Automation: Automate data flows for critical business processes such as Order-to-Cash, Inventory Synchronization, and Shipment Updates., • Monitoring & Error Handling: Implement logging, alerting, and retry mechanisms to handle API rate limits, connection timeouts, and data validation errors without disrupting business operations., • Security & Compliance: Ensure all data in transit is encrypted and handled in accordance with PII and PCI compliance standards., • Experience: 3+ years of backend development experience with a focus on middleware, iPaaS (e.g., Celigo, Mulesoft, Workato), or custom integration microservices., • Shopify Expertise: Deep understanding of the Shopify API ecosystem. You must know the nuances of Shopify’s rate limiting, bulk operations, webhooks, and the transition between REST and GraphQL endpoints., • Data Handling: Proven ability to read, parse, and transform data structures. Mastery of JSON, XML, CSV, and SQL is essential., • Programming Languages: Strong proficiency in server-side languages such as Node.js or Laravel/PHP., • Enterprise Protocols: Experience working with enterprise data exchange protocols, including REST, SOAP, FTP/SFTP, and EDI., • Version Control: Proficiency with Git and CI/CD pipelines., • Integrations: Proven integrations with payment gateways, tax engines, loyalty/fraud platforms, ERP, Inventory, OMS., • Education: Degree or certification in software development., • Communication: Fluent writing and speaking in English., • Organization: Good organizational and documentation skills with a detail-oriented mindset., • Experience with cloud functions (AWS Lambda, Azure Functions, or Google Cloud Functions) for serverless data processing., • Knowledge of queueing systems (RabbitMQ, Kafka, AWS SQS) to manage high-volume data spikes during flash sales., • Experience integrating with ERP’s, PIM’s, CDP’s, OMS’s, etc., • Knowledge of Latest Admin Direct API’s., • Experience in iPaaS and event-driven architectures., • Observability Implementation (New Relic/Datadog/Sentry, alerts, dashboards, SLIs/SLOs)., • Knowledge of security best practices Tools & Stack (typical)., • Node.js, PHP, Shopify Admin GraphQL, Webhooks, App Bridge., • CI/CD with GitHub Actions (or similar), Shopify Partners deploy., • Bonus to have familiarity with inventory management systems, loyalty programs, or other common retail technologies., • Excellent problem-solving skills to analyze information appropriately and find the best solutions taking a balanced view to reach logical conclusions and make relevant decisions., • Organizational skills to establish efficient and appropriate plans for self and others and adapt quickly and effectively to unexpected changes whilst still ensuring objectives are met.The duties and responsibilities described here are not a comprehensive list and the scope of the job may change as necessitated by business demands. Anatta Design reserves the right to revise the job description as circumstances warrant. This is a contract position, the pay range is $80 - $120 USD per hour. The hourly pay range listed is an estimate and may vary based on skills, experience, location, and project requirements. Final rates will be confirmed at the time of offer. Compensation Transparency & Pay Philosophy At Anatta Design, we believe in fair and competitive compensation based on location. We post salary ranges in compliance with state requirements for U.S.-based roles, ensuring transparency for candidates in those regions. If you are applying from outside the U.S., please note that our pay scales are adjusted based on the cost of living and market conditions in each country.

THE COMPANY: Juul Labs's mission is to transition the world’s billion adult smokers away from combustible cigarettes, eliminate their use, and combat underage usage of our products. We have the opportunity to address one of the world’s most intractable challenges through a commitment to exceptional quality, research, design, and innovation. Backed by leading technology investors, we are committed to the same excellence when it comes to hiring great talent. We are a diverse team that is united by this common purpose and we are hiring the world’s best engineers, scientists, designers, product managers, operations experts, and customer service and business professionals. If the opportunity to build your career is compelling, read on for more details. Open to Remote USA, San Francisco, CA ideal. ROLE AND RESPONSIBILITIES: The Enterprise Systems Engineer who leads with AI – not as a tool on the side, but as the foundation of how enterprise systems are implemented, integrated, and operated. The Enterprise Systems Engineer will own the technical execution of our Workday and ERP ecosystem, leveraging Claude, Gemini, and Cursor to drive implementation velocity, integration quality, and continuous system improvement. The Enterprise Systems Engineer will be an intelligent system engineer and builder for the data pipelines and AI agentic workflows connecting Juul Lab’s global HCM, ERP, and CRM landscape. We are looking for a developer who doesn't just "connect" systems but builds an autonomous, resilient integration layer. This role shall bring deep platform knowledge and the judgement to know when to configure, when to code, and when to let AI do the heavy lifting. KEY RESPONSIBILITIES: • Serve as a cross-functional technical expert across the Workday with the Enterprise Systems (ERP) ecosystems ensuring system integrity, data quality, and alignment with evolving business requirements, • Identify, pilot, and scale low-friction AI use cases across Enterprise Systems – including streamlining internal operations, • Lead Workday and ERP implementations using AI-augmented methodologies – from requirements extraction and gap analysis through UAT script generation, training material creation, and post go-live support, • Leverage Cursor with LLM-pair programming (Claude/Gemini) to achieve step-change development velocity on integration builds, transformation scripts, and API documentation, • Generate and maintain UAT test scripts, data migration mappings, and functional specifications documents using AI tooling – reducing manual authoring time, • Produce high-fidelity technical documentation using AI tooling to draft than human review to validate, • Write and maintain robust code (Python, JavaScript, or SQL) to automate business logic and system You will move beyond "out-of-the-box" features to build custom solutions that solve complex enterprise challenges, • Serve as the technical lead for massive "Source-to-Target" migration workstreams. You will personally execute the ETL processes, ensuring that legacy data is scrubbed, normalized, and mapped correctly into modern environments, • Develop and maintain AI-augmented workflows within the Juul Labs ecosystem, utilizing Claude and Gemini to build intelligent agents that assist in compliance monitoring and cross-system data reconciliation, • Identify architectural weaknesses and implement preventative measures to ensure long-term platform stability across the Workday and ERP ecosystem, • Advanced proficiency in Cursor for rapid prototyping and code review, • Hands on experience with Claude/Gemini for agentic workflow design, requirements synthesis, test generation, and documentation automation, • Experience integrating AI tooling into enterprise delivery workflows – not just productivity, but team-level process change, • Deep understanding of the data objects and backend structures of Tier 1 platforms (e.g., Workday, Acumatica, Big Query, ServiceNow), • Strong working knowledge of Workday HCM - data model, integration framework (EIBs, Workday Studio, or Extend), and business process configuration, • Expert proficiency in SQL (data profiling, validation, stored procedures, CTEs, performance tuning) for data profiling and validation. You must understand complex relational schemas and how to maintain referential integrity across disparate Expert proficiency in at least one high-level language (Python, JavaScript, C#, or Ruby), • Deep hands-on experience with REST/SOAP API Design, JSON/XML parsing, and iPaaS platforms. You should be comfortable building custom connectors, • Experience with version control (Git), CI/CD pipelines for system updates, and producing high-fidelity technical documentation (ERDs, Sequence Diagrams), • Documentation Excellence: Mastery in producing high-fidelity technical artifacts including Sequence Diagrams, RDs, Data Flow Diagrams, and Functional Specification Documents (FSDs), • 5+ years of technical experience in Systems Engineering, Integration Development, or ERP/HCM implementation, • Must have personally executed at least two enterprise-scale HCM or ERP implementations or global system migrations, • Demonstrated track record of adopting AI tools to change how work gets done – redesigning delivery workflows around LLM capabilities, • Excellent verbal and written communication skills with a proven ability to work cross-functionally, • Demonstrated experience with data analysis, validation, and working with large data sets, • Exceptional ability to deconstruct complex business rules into logical, executable code, • Strong analytical, problem-solving, and organizational skills, • Bachelor’s degree in Computer Science, Software Engineering, or a related quantitative JUUL LABS PERKS & BENEFITS: • A place to grow your career. We’ll help you set big goals - and exceed them, • People. Work with talented, committed and supportive teammates, • Equity and performance bonuses. Every employee is a stakeholder in our success, • Cell phone subsidy, commuter benefits and discounts on JUUL products, • Excellent medical, dental and vision, disability, and life insurance, plus family support, wellness, legal, and employee assistance program benefits, • 401(k) plan with company matching, • Plus biannual discretionary performance bonuses Juul Labs is proud to be an equal opportunity employer and is committed to creating a diverse and inclusive work environment for all employees and job applicants, without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. We will consider for employment qualified applicants with arrest and conviction records, pursuant to the San Francisco Fair Chance Ordinance. Juul Labs also complies with the employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must have authorization to work for Juul Labs in the US. #LI-remote SALARY RANGES: Salary varies by role, level and location, and is dependent on the cost of labor in a given geographic region among other factors. These ranges may be modified at any time. LOCATIONS: Tier 1 Locations: Greater New York City, and San Francisco Bay Area Tier 2 Locations: Greater Boston, Washington DC Metropolitan Area, Seattle/Tacoma, Greater Sacramento, Southern California (Los Angeles/OC/San Diego, Riverside and Imperial counties) Tier 3 Locations: Rest of New England, NY Capital District, Rest of New Jersey, Greater Philadelphia, Pittsburgh, Delaware, Rest of Maryland, Rest of Virginia, North Carolina, Atlanta, Miami-Fort Lauderdale-WPB, Chicagoland, Dallas, Houston, Austin, Minneapolis/St. Paul, Colorado, Phoenix, Las Vegas, Reno, Carson City NV., Portland Ore./Vancouver Wash., Rest of California, Hawaii Tier 4 Locations: Rest of US including Alaska and Puerto Rico Tier 1 Range: $185,000 - $227,000 USD Tier 2 Range: $168,000 - $206,000 USD Tier 3 Range: $158,000 - $194,000 USD Tier 4 Range: $141,000 - $173,000 USD

Who We Are At Firstup, our mission is to improve the employee experience at every moment that matters, large and small. As the communication pipeline for the world's workforce, we now serve 40 of the Fortune 100 companies, reaching and connecting more than 17 million employees daily. Our employees are experts in the employee experience, workforce communications and technology. Joining Firstup means joining a movement to make work better for every worker. As the world’s first intelligent communication platform, Firstup meaningfully engages employees at every moment from hire to retire, and delivers engagement insights to help companies support, promote and retain their talent. Our movement has taken root and is evident in our world-class customer base. Now we need your help. Ready to make a difference in the world? Job Summary We're looking for an experienced Software Engineering Manager (Data) to join our team! You will have opportunities to work with customers to solve technology challenges. We are quickly growing and you will deliver new solutions and services while always improving our approach to architecture, scale, availability and fault-tolerance. Engineering is a craft, and at Firstup we believe the internals of our technology are as elegant as user experience. If there is a specific challenge you are looking for, we most likely have it for you. Teams are empowered and supported to make an impact every day. We work in autonomous product teams, and you'll work with Product Managers, Designers, QA, and other engineers on a daily basis. You will partner with others across the company in shared codebases, and contribute directly to other services when needed. We iterate quickly to see what works and what doesn't and follow the data to bring our strategy. We encourage you to take chances and fail because that is how we grow. We are a distributed team and have been since day 1. We build solutions for distributed workforces so we model our workforce the same way. In this role you really can work where you want within the United States. • Drive the strategy, design, and delivery of scalable data platforms powering business intelligence, predictive analytics, and LLM capabilities across enterprise customers, built on modern microservices architecture., • Drive the successful completion of complex projects that span multiple domain teams as data is core to our platform., • Provide senior technical leadership through architecture decisions, design reviews, and code reviews, ensuring scalability, reliability, security, and maintainability., • Drive the thoughtful adoption of Generative AI tools and coding agents to increase developer productivity, improve code quality, and accelerate innovation., • Partner closely with Product Management and Design to translate complex business requirements into scalable technical solutions., • Manage, mentor, and grow a distributed team of software and quality engineers, fostering a culture of ownership, accountability, and continuous improvement., • Own production health for your teams’ services, including on-call rotations, incident response, and post-incident reviews in a “you build it, you run it” environment., • Lead operational excellence initiatives to improve observability, resiliency, automation, and alignment with defined SLOs and enterprise SLAs., • Bachelor’s Degree in Computer Science, Information Technology or a related field of study; or commensurate professional experience required., • 10+ years of professional software experience, including 3+ years managing teams of engineers developing data pipelines and analytics applications., • Proven experience delivering customer-facing Enterprise Saas products at scale., • Strong hands-on or architectural experience with modern data platform tooling, including but not limited to Apache Airflow, dbt, Kafka, AWS Glue, AWS Redshift, AWS Sagemaker, AWS Dynamo, AWS Quick Sight., • Success leading a data engineering team through complex challenges that are large in scope., • Strong knowledge of modern data architecture, ETL/ELT processes, and data modeling best practices., • Strong knowledge of SQL, Python and Typescript., • Knowledge of AI tools including Langchain, Open AI Agents, and MCP APIs., • Excellent communication skills and understanding of the realities of developing in a startup environment (i.e. you know the difference between small problems and big ones)., • Experience scaling and evolving Enterprise SaaS platforms through periods of growth or technical transformation., • Demonstrated experience leveraging Generative AI tools and coding agents in software development workflows. #LI-TM1#LI-RemoteWe 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.

Business Analyst Location: City of NY /DOITT Mandatory Skills/Experience: Candidates who do not have the mandatory skills will not be considered. At least 8 years of experience and technical knowledge in: Data mapping, ETL integration, Netscout, Jasper reporting, Oracle Analytics, BMC Remedy ARS to monitor and manage different aspects of the IT infrastructure, Predictive analytics. This resource is required to architect and build out the analytics reporting and ITSM integration infrastructure to provide enhanced Netscout reporting within DoITT and its supported agencies. This includes providing recommendations and input for "Predictive Analytics". This implementation requires knowledge of Netscout, Remedy ITSM, Talon ETL, Jasper BI, and Oracle Analytics. Data model knowledge of ITIL disciplines supported by these applications is mandatory. Relationships between common data elements used by these applications are desirable but not mandatory. Additional tasks include identification of automatic data refreshes referencing data collected by Netscout products as well as installation and configuration of new gateways. Serve as an SME in networking and application performance, applications delivery, and utilizing complete Applications Performance Infrastructure platforms. Analyze and understand customers reporting requirements including assisting adoption solutions. Understand and define how data collected by selected products may be used to perform enhanced reporting and initial predictive analytics. Prepare extraction, transformation, and loading of data elements required for predictive analysis. Provide guidance on the use of WSDL's and Web Service where appropriate. Architect and design solutions defining trend analysis in network utilization for the DoITT environment. Translate organizational strategy into specific analytic work deliverables. Sets vision & direction for technical development initiatives; develops & leads resource planning for current and future requirements. Insures the quality and validity of analytic outputs.

Full Stack Engineer Opportunity At Guac At Guac, we're solving grocery food waste with predictive ML. We predict exactly how much of each product will sell, helping grocery retailers order/produce the perfect amount of inventory. The grocery industry is enormous (it accounts for 4% of GDP) — and grocery food waste is a huge cost to grocers' bottom lines, but also to our planet. Today, we're working with major supermarket chains in the US, and we've scaled to 7-figures in ARR. We're also backed by leading investors such as Y Combinator, 1984 Ventures, Collaborative Fund, and angels from Instacart and Citadel Securities. We've brought together an exceptional team from Palantir, BCG, Oxford, Cambridge, and MIT to solve intellectually challenging problems and tackle food insecurity & waste with technology. We're looking for talented engineers in NYC to join our mission. About the Role As a Full Stack Engineer at Guac, you'll have real impact and ownership over technical decisions, strategy, and product direction. Your responsibilities will include: Backend Development • Design and build robust backend services that power mission-critical ordering and production planning products, • Build efficient ETL pipelines to handle billions of rows of data, multiple times per day, • Build and enhance customer-facing features for our web application using React, Next.js, and TypeScript, • Implement robust state management and real-time synchronization patterns to ensure data consistency across multiple users and sessions, • Optimize application performance for handling large datasets and complex user workflows without compromising responsiveness, • 3+ years of relevant software engineering experience, • Strong proficiency in Python, TypeScript, and associated framework, • Experience building modern web applications with React and related ecosystem, • (Bonus) Experience in customer-facing technical roles (e.g. forward deployed engineer), • First-hand experience building an early-stage startup, • Compensation: $150k-$200k base + competitive equity, • Fully employer-paid healthcare (medical, dental, and vision), • Unlimited vacation days, • Fully covered food expenses in the office (lunch/dinner), • Languages & Frameworks: Backend - Python, FastAPI; Frontend - React, Next.js, Typescript, • Cloud & Infrastructure: GCP, Postgres, BigQuery, Terraform, Docker

Delivery Lead Jersey City, New Jersey, United States About the Job Job Title: Delivery Lead Location: NJ / Charlotte / Atlanta (onsite hybrid) Responsibilities: • Oversee and drive the delivery of end-to-end projects focused on analytical applications and ETL projects., • Provide technical leadership and mentorship to data engineering teams, guiding them on complex challenges and best practices., • Collaborate with business and technical stakeholders to gather requirements, design solutions, and manage project deliverables., • Utilize frameworks like Snowflake, Spark, and AWS Glue to design, deploy, and integrate cutting-edge data solutions., • Manage cross-functional collaboration with Business Data Analysts (BDAs), ensuring alignment between data engineering and business goals., • Take ownership of release planning, change management, and stakeholder engagement to ensure project success., • Framework and Foundational Services: Expertise in building modular, scalable, and reusable frameworks for data integration, data quality validation, and pipeline orchestration., • ETL Projects: Hands-on experience with ETL processes, data migration, and data mart implementation., • Data Engineering: Strong background in Snowflake, SQL, DBT, and PySpark, with advanced knowledge of query optimization, CDC (Change Data Capture), and data transformation., • Cloud Platforms: Extensive experience with AWS (Glue, EMR, S3, Lambda, Redshift), Azure Data Factory, and cloud-native architectures., • Application Development: Expertise in developing event-driven and microservices-based architectures using Java, Python, and modern frameworks., • CI/CD & Automation: Proficient in building CI/CD pipelines with tools like Jenkins, GitLab, and Terraform for infrastructure-as-code automation., • Big Data & Analytics: Proven experience in managing Big Data platforms and implementing solutions for large-scale data ingestion, storage, and processing., • Proven experience in building scalable data engineering frameworks and foundational services to support enterprise-wide analytics initiatives., • Hands-on expertise in Snowflake, Spark, and AWS Glue, with knowledge of event-driven architectures and streaming data solutions., • Strong leadership experience in managing teams and delivering complex projects in Agile environments., • Proficiency in ETL processes, data migration, and data mart implementation., • Excellent communication and stakeholder management skills to collaborate across diverse teams., • Experience in the insurance industry is a plus.

Position: Certified ETL Tester Quality Assurance Analyst/Tester` Location: Brooklyn, NY Duration: 2 Years Hours: 35 hours Per Week Job Description: Responsibilities: • Perform functional, regression, performance, and automation testing of applications, • Participates in project-level planning and reviews and approvals sessions, which includes business requirements and Application Software Requirements/Design review meetings., • Analyze and understand ETL structural mapping and technical specification documents., • Create test cases to perform Sanity, Functional, Regression, Database and ETL Testing., • Analyze and report on complex data; both source and target systems to identify potential gaps in mapping documentation., • Design tests for DW/ETL source data extraction, business transformation logic and target table loading., • Identify, analyze and document problems with functionality, output files, or tables. Monitor defect resolution efforts and track progress., • Write complex SQL queries and develop solution diagrams to demonstrate new capabilities., • Foster partnerships with ETL, Data Warehouse, Data Modeling, Product Owner, and Business Partner teams., • Implement an efficient and scalable Selenium Webdriver framework and with designing multiple types of automation frameworks including data-driven, modular, and database., • Identify and write efficient test automation scripts using Selenium Webdriver., • Must be proficient in Java programming concepts (variable, loop, procedure, function, data types and collections, exceptions, and debugging your code). This task is coding scripts and not using simple recording of the UI, • Successfully automate smoke tests and regression test suites, • Review peer scripts before they are checked into the test automation library, • Cross-train and mentor other team members on the automation framework and scripts development., • Identify Performance thresholds using client side & server side metrics and build load models, • Provide gap analysis and recommendations for the resolution of issues Mandatory Skills/Experience:, • Minimum 6 years of experience writing and maintaining automated test scripts using the Selenium toolset to test data quality and system functionality., • Minimum 3 years of experience in performance engineering (this includes performance testing and deep dive performance analysis experience., • Minimum 3 years of experience in backend testing including ETL processes that extract data from homogeneous or heterogeneous sources., • Solid understanding of ETL source to target data mappings and transformation rules., • Good understanding of data warehousing concepts and data analysis., • Experience in writing SQL (medium to complex) statements to test data mapping & requirements, and perform extensive data analysis to identify the defect, • Experience using Microsoft Team Foundation Server to track and test project assets, • Capability of translating and presenting technical concepts into practical business terms for leaders in both small and large group settings, • Experience with Maven, • Solid understanding of object-oriented language including data structures, collections framework and multithreading., • Experience in building and managing continuous integration using tools such as Jenkins, Bamboo, etc., • Experience in various testing methodologies, including Agile, Iterative, and Waterfall., • Extensive experience in boundary testing, decision table testing, and state transitions testing., • Ability to work on multiple work streams or projects simultaneously., • Experience using test tools including Selenium, Load Runner, JMeter, Microsoft Team Foundation Server, HP products, SOAP UI, and Visual Studio to manage testing assets., • Experience conducting performance testing for browser-based systems on PCs and mobile devices., • Capability of translating and presenting technical concepts into practical business terms, • ISTQB or Certified Software Tester (CSTE) certification., • Business domain experience in the education or municipal government sectors.

Senior Microservice Developer JD Looking out for Sr. microservice Developer with at least 8+ years of experience. Have working hands on knowledge on Java J2EE, Spring boot, Microservices Kubernetes Job Responsibilities • Develop design for medium complex features of the applications., • Write code as per defined architecture and design, following coding standards and best practices., • Lead in technical discussion, stand ups, retrospectives, meetings, and demos., • Follow processes like code version control, task updates in JIRA, CI CD Dev Ops, and other project specific processes., • Perform unit testing of your code before giving it for review/QA., • Get your code reviewed and approved by the Architect., • Assist the Architect in defining coding standards, best practices, technical design, and architecture., • Manage the delivery of multiple modules or small projects., • Be a team player., • Help team members with technical issues and gradually grow to handle a small team of up to 5 7 members demonstrating conflict resolution skills. Requirements, • Java J2EE features, • Spring boot and MSA POSTGRESQL, big query exposure., • Knowledge in Agile, Exposure to JIRA, managing code in Git, • Excellent Communication skill, • Exposure to Microservice architecture and GCP GKE, • Exposure to APIGEE, • ETL Knowledge preferred and Good Knowledge in Design Pattern. Should have 5+ years IT experience, in Java,Microservices,BigQuery. In depth understanding of the entire web development process (design, development, and deployment). Should have some knowledge of on in any cloud platform like GCP, Azure Should have some knowledge of creating architectures and delivering them from end to end Should be experienced with source versioning tool like GitHub Very Good in communication

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: The Data and Research Analyst develops, manages, and maintains various data-driven processes and applications for reporting and analysis related to academic and curricular reporting for Columbia College. The Analyst supports data integrity and data security, while working with large data sets and performing various processes utilizing ETL. The incumbent will work with various data sources to perform analysis, assessment, and reporting. As an integral member of the team, the analyst will assist with data mining, research design, and strategic goals and objectives around analytics and data. Responsibilities • Create, maintain, and document innovative, user-friendly front-end reporting tools and platforms that provide point-and-click ability to produce reports for operational and analysis needs. Build and maintain databases and automate data processes, including ETL, SQL, stored procedures, SSRS, SSIS, etc., for in-house and third-party databases. Create and provide ad-hoc reports and datasets in response to requests from various departments., • Provide quantitative and qualitative analysis and feedback for research, surveys, and assessments; help facilitate design, execution, and reporting on research findings for use in strategic planning and policy development/implementation. Create framework for forecasting and modeling projects., • Research and evaluate available sources of data to extract, clean, and manipulate datasets for use. Facilitate processes that translate data into actionable insights in order to solve problems, provide insight, and optimize operational processes and improve efficiency., • Work with partner offices across the University on survey design and implementation, • Collaborate with team members to plan short- and long-term projects, and participate in implementing strategic initiatives around research, forecasting, analysis, and reporting., • Work on special projects as deemed relevant and be available as needed for technical and other support during critical periods., • Other related duties as assigned. Minimum Qualifications • Bachelor's degree or equivalent required., • A minimum of 2 years of experience, or combination of education and experience., • The ability to work with a high degree of independence and accountability as a member of a cohesive team., • Excellent verbal and written communications skills., • Proficiency in SQL and query and reporting analysis tools including ETL, cubes, and reporting services., • Familiarity with relational database design., • Proficiency with the Microsoft Office Suite, especially Excel., • Ability to prioritize and manage multiple tasks under short and changing deadlines, while ensuring timely and accurate execution., • Proven ability to create project plans and successfully complete projects., • Excellent analytical, organizational, and interpersonal skills required; ability to analyze and interpret complex data sets, make findings relevant, and explain data and technology to a general (non-technical) audience., • Act as an analytical thinker with the ability to work collaboratively and independently., • Must have the ability to exercise sound judgement, discretion and tact in a highly confidential professional setting. Preferred Qualifications • Experience with SQL Server Reporting Services (SSRS) or other enterprise-level reporting tool is preferred., • Knowledge of an object-oriented language such as Python or R., • Experience with both qualitative and quantitative statistical methods in survey design, research, or assessments is preferred. Columbia University is committed to the hiring of qualified local residents.

Manager, Claims Analytics AArete is one-of-a-kind when it comes to consulting firm culture. We're a global, innovative management and technology consulting firm with offices in the U.S., India, and Europe. Our name comes from the Greek word for excellence: "Arete." And excellence is exactly what we strive for. We're celebrating our fourth year as one of Forbes' World's Best Management Consulting Firms - and our success starts with our people. From robust career development planning to competitive life and wellness benefits, AArete's "Culture of Care" takes a holistic approach to the employee experience. AAretians (our team members) are leaders at every level. You are encouraged to unlock your full potential by directly contributing to our mission and prioritizing personal development and fulfillment. The Role We are seeking a Manager, Claims Analytics to lead analytic workstreams that help health plans better understand their claims data, uncover cost and utilization trends, improve reimbursement accuracy, and enhance overall operational performance. This individual will manage project delivery, mentor team members, and develop analytic solutions that generate meaningful insights for payer and provider clients. This role requires strong experience working with healthcare claims data, technical and analytical expertise, and the ability to translate complex findings into clear, actionable recommendations for stakeholders. Work You'll Do • Lead day-to-day delivery of claims analysis projects for multiple payer and provider clients, • Design analytic approaches that evaluate utilization, cost drivers, reimbursement patterns, and operational opportunities, • Develop advanced SQL queries, data models, and automated workflows to create scalable analytic solutions, • Guide managers and consultants in working with complex datasets including medical, pharmacy, eligibility, provider, and pricing files, • Validate data accuracy, ensure consistency across multiple data sources, and maintain rigorous quality checks, • Build dashboards and reporting frameworks using BI tools to support client decision making, • Translate large volumes of claims data into clear, compelling insights tailored to executive-level stakeholders, • Manage project plans, timelines, and prioritization across concurrent engagements, • Partner with clients to understand goals, develop custom analyses, and make strategic recommendations, • Support business development through proposals, scoping discussions, and client presentations, • Contribute to internal best practices, methodologies, and analytics frameworks, • 7+ years of experience in healthcare analytics, payer operations, and claims analytics with a Bachelor's Degree, or 11+ years of equivalent experience, • Demonstrated experience leading project teams or mentoring analysts and consultants, • Strong experience analyzing healthcare claims datasets, including medical and pharmacy, • Understanding of reimbursement methodologies across Medicare, Medicaid, Commercial, and other lines of business, • Proficiency in SQL or similar query languages used to analyze complex datasets, • Ability to identify trends, anomalies, utilization patterns, and cost drivers within claims data, • Working knowledge of healthcare coding and reimbursement structures including CPT, HCPCS, ICD, DRG, APC, and fee schedules, • Experience with BI tools such as Power BI, Tableau, or Qlik, • Strong communication skills with ability to explain analytic findings clearly, • Advanced proficiency in Excel or equivalent data tools, • Knowledge of payer operations, provider contracting concepts, and healthcare financial analysis, • Willingness to engage in direct client interaction, including travel to client locations, • Must be legally authorized to work in the United States without the need for employer sponsorship Preferred Requirements • Experience supporting practice growth, solution development, or analytics capability expansion, • Experience designing automated analytic workflows or ETL processes, • Experience with SQL Server, SSIS, Python, Snowflake, or similar data environments, • Familiarity with data warehousing concepts and healthcare data architecture, • Experience building visual analytics dashboards for ongoing monitoring and reporting, • Based in Chicago, IL, and flexible to work from our Chicago office as needed Compensation & Benefits • Flexible PTO, monthly half-day refuels, volunteer time off, 10 paid holidays, • Own Your Day flexible work policy, • Competitive majority employer-paid benefits: Medical, Dental, Vision, 401K Match, • Generous paid parental leave options, • Employer-paid Life Insurance, Short Term Disability, Long Term Disability, • Charitable contribution matching program, • New client commission opportunities and referral bonus program AArete will accept applications until the position is filled. The job posting will be removed once the role is no longer available. We put humans at the center of our work We're a global management and technology consulting firm specializing in strategic profitability improvement, digital transformation, and strategy & change for clients. Our cross-industry solutions are powered by a digital-first mindset, market intelligence, and data-driven approach to deliver purposeful change, actionable insights, and guaranteed results. But what sets us apart is our people. We are guided by our deeply embedded guiding principles: Excellence, Passion, Loyalty to Clients, Stewardship, Family, Community, Sustainability, and Inclusion. And we've been recognized as a top firm to work for by companies like Forbes, Top Workplaces Chicago Tribune, and Consulting Magazine. We've earned a Great Place to Work Certification and been named a World's Best Management Consulting Firm by Forbes, Vault's Top 50 Firms to Work For, Crain's Chicago Business Fast 50, Inc 5000's Fastest Growing Firms, and Consulting Magazine's Fastest Growing Firms. We are an Equal Employment Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #LI-DNI

Bachelor's degree in Computer Science, Computer Engineering, Information Systems, related Engineering disciplines, or related field of study plus six (6) years of related experience required. Three (3) years of experience must include: Designing and developing ETL Pipelines, Data flows and Control f

MAG is offering a part-time consulting opportunity focusing on data engineering and analytics engineering. Professionals with at least 3 years of experience in data engineering and familiarity with technologies such as SQL and dbt are encouraged to apply. The role involves reviewing ETL/ELT pipeline

Key ResponsibilitiesProfessionals in this role may contribute to:Pipeline Development & ETL/ELT ReviewReview data engineering scenarios involving ETL/ELT pipelines, dbt models, incremental logic, watermark behavior, transformations, and output tablesEvaluate pipeline outputs against defined data con

Job Description Job Title: Lead Analytics and AI Engineer Location-Type: 100% Remote (working EST hours) Start Date Is: ASAP Duration: Permanent FTE Compensation Range: $130,000 – $150,000 base salary bonus Benefits: Medical, dental, vision, 401k, PTO Not eligible for visa sponsorship Job Description: Lead the design and delivery of analytics and AI solutions by turning business needs into scalable data pipelines, models, and production-ready technical solutions. Day-to-Day Responsibilities: • Partner with business stakeholders to gather requirements and translate problems into AI and analytics solutions, • Design and build scalable data pipelines, ETL/ELT workflows, and data platform components, • Write hands-on code in Python and SQL to develop pipelines, models, and supporting solutions, • Build and optimize solutions in Databricks for analytics, reporting, and AI use cases, • Create documentation and technical requirements for offshore development teams, • Guide offshore execution and ensure solutions are delivered accurately and efficiently, • Improve data quality, performance, monitoring, and reliability across pipelines and platforms, • 5–10 years of experience in data engineering, analytics engineering, or related roles, • Strong hands-on Python and SQL skills, • Experience building and maintaining ETL/ELT pipelines and data workflows, • Strong background in data engineering, data pipelines, and data warehousing, • Databricks experience, • Experience designing and delivering data and AI solutions, • Ability to translate business needs into technical solutions, • Strong communication skills and comfort in a client-facing environment, • AWS experience, • Experience with AI/ML tools or AI solution development, • Experience with workflow orchestration tools such as Airflow, • Experience with API-based ingestion and modern cloud data platforms, • Experience supporting near real-time analytics or reporting environments

Job DescriptionPosition Overview:We are seeking experienced professionals with strong, hands-on expertise in Data Products, Data Engineering, or Data Management to support enterprise data initiatives. The ideal candidate will have practical experience designing, building, and managing scalable data solutions that drive business value. Key Responsibilities: • Design, develop, and maintain scalable data pipelines and data products., • Build and optimize data architectures supporting analytics, reporting, and operational use cases., • Implement robust data management practices including data governance, quality, lineage, and metadata management., • Collaborate with business stakeholders to translate requirements into reliable and high-performance data solutions., • Ensure data integrity, security, and compliance across platforms., • Support cloud-based data environments and modern data platforms., • Proven hands-on experience in Data Engineering, Data Product development, or Data Management., • Strong expertise in SQL and data modeling (star/snowflake schemas)., • Experience with ETL/ELT processes and data pipeline development., • Familiarity with cloud data platforms (Azure, AWS, or GCP)., • Experience with data governance, data quality frameworks, and metadata management., • Experience with big data technologies (e.g., Spark, Databricks)., • Knowledge of data warehousing and modern data architecture principles., • Exposure to BI/analytics tools.

Responsibilities Writing complex SQL queries to support ad hoc business requests Partnering with teams across Underwriting, Claims, Finance, and Marketing Supporting production data environments and troubleshooting issues Design, develop, and maintain scalable data pipelines and ETL/ELT processe

A leading P&C insurance company is seeking a Senior Insurance Data Specialist (SQL Developer) to optimize data solutions in a remote setting. The ideal candidate has over 5 years of experience in data engineering with a strong focus on P&C insurance data.

The ideal candidate should have over 10 years of experience in QA roles, specifically in ETL testing and data validation, with strong programming skills in Python and proficiency in the Pytest Framework.

Internship experiences building data intensive software at fast growing startups. Proficient in Python, SQL, and comfortable working across the stack - backend, ETL, database, and infrastructure.

You will learn how to develop and maintain data pipelines for efficient data extraction, transformation, and loading (ETL), assist in the development and maintenance of databases, and utilize technologies such as Python, Excel, and SQL. We believe in the unlimited potential of people, and most impor

A leading consulting firm is seeking a Databricks Architect to develop and optimize ETL pipelines and lead data engineering projects. The ideal candidate has over 8 years of experience with Databricks and programming in SQL and Python, and experience in the insurance domain.

Job Description About the Role: We are seeking a highly skilled SQL professional to join our team in the Information and Media Services industry. As a SQL expert, you will be responsible for managing and optimizing our company's databases, ensuring that they are secure, efficient, and reliable. Your work will be critical to the success of our business, as you will be responsible for ensuring that our data is accurate and accessible to all stakeholders. You will work closely with our development team to design and implement new database solutions, and will be responsible for troubleshooting and resolving any issues that arise. Minimum Qualifications: • Bachelor's degree in Computer Science or a related field, • 3+ years of experience in SQL database management, • Strong understanding of database design principles, • Experience with database security and backup procedures, • Experience with cloud-based database solutions, • Familiarity with data warehousing and ETL processes, • Design, develop, and maintain SQL databases for our company, • Ensure that our databases are secure, efficient, and reliable, • Collaborate with our development team to design and implement new database solutions, • Troubleshoot and resolve any issues that arise with our databases As a SQL professional, you will use your expertise in database management and design to ensure that our company's data is secure, efficient, and accessible. You will work closely with our development team to design and implement new database solutions, and will be responsible for troubleshooting and resolving any issues that arise. Your strong problem-solving and troubleshooting skills will be critical to your success in this role. Additionally, experience with cloud-based database solutions, data warehousing, and data visualization tools will be beneficial in this position.

Job Description Job Title: Data Architect (Remote) About the Role Our client is seeking a mid-level Data Architect with 3–7 years of experience to join our growing insurtech team. In this role, you will design, optimize, and maintain data architectures that power key insurance products, analytics, and operations. You'll collaborate with cross-functional teams to ensure data is reliable, scalable, secure, and aligned with business needs in a fast-evolving insurance technology environment. Key Responsibilities • Design, document, and maintain scalable data models, data pipelines, and storage solutions for insurance products and analytics., • Architect and optimize cloud-based data platforms (e.g., AWS, Azure, GCP) for performance, cost efficiency, and security., • Collaborate with engineering, product, actuarial, underwriting, and data science teams to understand data requirements., • Implement data governance, data quality, and metadata management practices., • Define and enforce data architecture standards, patterns, and best practices., • Support integration of third-party data sources, including telematics, claims data, customer data, and policy data., • Perform root cause analysis and troubleshoot complex data issues., • Partner with security teams to ensure compliance with industry regulations (e.g., HIPAA, SOC 2, state insurance requirements)., • Evaluate new technologies, tools, and frameworks that can improve data capabilities., • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field., • 3–7 years of experience in data architecture, data engineering, or a similar role., • Strong experience with cloud data platforms (AWS, Azure, or GCP)., • Proficiency in data modeling (conceptual, logical, physical) and database design for relational and NoSQL systems., • Hands-on experience with ETL/ELT pipelines, data orchestration tools (e.g. Airflow, dbt), and data warehousing., • Strong SQL skills and familiarity with distributed computing frameworks (e.g., Spark)., • Experience designing data solutions for analytics, reporting, and machine learning workflows., • Understanding of data security, privacy, and governance best practices., • Experience in the insurance or insurtech industry (claims, underwriting, actuarial, policy lifecycle, regulatory reporting)., • Familiarity with insurance-specific data standards (e.g., ACORD)., • Experience with data cataloging tools (e.g., Collibra, Alation)., • Exposure to event-driven architecture (Kafka, Kinesis, or similar)., • Strong problem-solving and analytical abilities., • Ability to work independently in a fully remote environment., • Collaborative mindset with the ability to translate business needs into technical solutions., • Detail-oriented approach with a focus on data quality and reliability.

In this role, you will optimize ETL and data lake processes while ensuring quality data that drives strategic growth.

A leading advertising technology firm is seeking a Data Engineer to join their team. The ideal candidate has over 2 years of experience in data engineering, is proficient in SQL, and has experience with data visualization tools.

Ramp on the Taktile decisioning platform through structured knowledge transfer Progressively own maintenance of existing flows and support new flow development Write and optimize complex SQL queries in Databricks to support reporting and analysis Collaborate on ETL improvements and data pipeline

A global technology consulting firm in New York is seeking an Oracle Fusion Data Migration Lead. The ideal candidate will have over 12 years of experience in data migration, particularly with Oracle Fusion Cloud, and expertise in ETL methodologies and SQL.

Job DescriptionData Engineer Healthcare AI Platform | Data Infrastructure | New York Hybrid About the Company We are representing a high-growth AI startup building infrastructure to automate complex administrative workflows in healthcare. The company is creating an AI-native platform that integrates with provider systems and helps automate areas such as insurance verification, prior authorization, billing, intake, revenue cycle operations, and clinical workflow support. This is a rare opportunity for a data engineer to build core data infrastructure from the ground up in a complex, high-impact domain where clean data, reliable pipelines, and operational visibility directly shape product and business decisions. The Role We are looking for a Data Engineer to build the data infrastructure powering analytics, business intelligence, operational monitoring, and AI-driven decision-making across a healthcare automation platform. You will design and maintain data pipelines, integrate fragmented healthcare and operational data sources, model complex workflows into clean data structures, and create the analytics foundation that helps the company measure, monitor, and optimize its systems. This role is ideal for someone who enjoys owning the full data stack: ingestion, transformation, modeling, analytics, alerting, and infrastructure decisions. Over time, you will have the opportunity to take end-to-end ownership of the data platform and shape the technical direction of the company's data architecture. What You'll Do Design, build, and maintain reliable data pipelines across internal systems, third-party APIs, and healthcare data sources. Integrate complex data sources such as operational systems, healthcare records, billing workflows, claims-related data, and external feeds. Build clean, scalable data models for revenue cycle workflows, intake operations, clinical processes, and business reporting. Develop analytics-ready schemas that support dashboards, reporting, monitoring, and operational decision-making. Build dashboards, alerts, and analytical tools to identify automation opportunities and operational bottlenecks. Support product, engineering, operations, and leadership teams with high-quality data infrastructure. Contribute to the technical direction of the business intelligence and data platform. Improve data quality, reliability, observability, and performance across the stack. Help create the foundation for AI/ML-driven workflows, analytics, and automation. What We're Looking For 3+ years of experience building and maintaining production data pipelines, warehouses, and analytics infrastructure. Strong SQL skills. Experience with at least one modern data warehouse or lakehouse such as Databricks, Redshift, Snowflake, BigQuery, or similar. Experience with relational databases such as Postgres or MySQL. Experience building ETL or ELT pipelines using tools such as Airflow, dbt, Dagster, or similar orchestration frameworks. Comfort working across the full data lifecycle, from raw ingestion through analytics-ready models. Ability to model complex operational domains into clean, queryable schemas. Comfort with exploratory analysis, statistical thinking, and analytical problem-solving. Experience using Python or R for data analysis. Strong communication skills and ability to explain technical data concepts to non-technical stakeholders. Ability to partner effectively with product, engineering, and operational teams. High ownership, detail orientation, and comfort operating in a fast-paced startup environment. Nice to Have Experience in healthcare technology or healthcare operations. Familiarity with healthcare data standards or data types such as EDI, HL7, FHIR, claims data, clinical documentation, or provider workflows. Experience with real-time or streaming data pipelines. Background in data science, machine learning, or feature engineering for AI/ML systems. Exposure to BI tools such as Hex, Sigma, or similar. Experience working in a high-growth startup or scale-up environment. Familiarity with cloud infrastructure and tooling such as AWS, Terraform, or similar. Why This Role Is Exciting You will build foundational data infrastructure rather than simply maintain legacy systems. Your work will directly shape how an AI healthcare platform measures and improves operations. You will work with complex, messy, high-value healthcare data. You will partner closely with product, engineering, and operations rather than sit in a silo. You will have the opportunity to define the long-term data architecture for a fast-scaling platform. You will help create analytics and automation systems that reduce administrative waste in healthcare. Work Model Full-time role. Hybrid in New York, with regular in-office collaboration expected. Visa sponsorship is not available for this position.

Job Description Role: Lead AI & Analytics Engineer US Remote • Experience: 6–9 years, • AI experience is a must (agentic AI, LangChain, RAG, chatbots, etc.) and should clearly demonstrate hands-on projects or at least 1–2 years of direct experience in the domain This is a hands-on engineering role focused on designing efficient data pipelines, improving data infrastructure, and enabling teams to leverage data effectively. Responsibilities • Design, build, and maintain scalable data pipelines and ETL/ELT workflows to ingest and transform data from multiple sources, • Develop and optimize batch and near real-time data processing pipelines for analytics and reporting, • Build and maintain data warehouse and data lake structures to support business intelligence and analytics use cases, • Implement and maintain data models that support efficient querying and reporting, • Improve performance and scalability of data systems through query optimization, indexing, and partitioning strategies, • Implement data quality checks, monitoring, and logging to ensure reliability of data pipelines, • Exposure to AI initiatives and experience building data pipelines supporting AI workflows, • Work with data architects and engineering teams to implement scalable data platform designs, • Collaborate with analysts, BI developers, and business stakeholders to deliver data solutions that support business needs, • Maintain documentation for data pipelines, data models, and data workflows

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Data Engineering Expert Type: Contract Compensation: $90–$125/hour Location: Remote Role Responsibilities • Build long-horizon pipeline tasks with deterministic rubrics to grade agent performance against verifiable ground truth., • Develop ETL/ELT pipelines and dbt models to produce specified output tables with incremental logic and defined watermark behavior., • Create Airflow/Dagster DAGs that pass test suites and data quality tests with known pass/fail cases., • Design warehouse schemas matching defined contracts and performance targets tied to measured query-time budgets., • Work independently in long focus sessions to create challenging scenarios for agent evaluation. Must-Have • BS or MS in CS or related field., • 3+ years in data engineering or analytics engineering., • Expertise in dbt model development, pipeline orchestration (Airflow, Dagster, Prefect), warehouse design (Snowflake, BigQuery, Redshift, Databricks), and data quality and testing., • Comfortable with data engineering artifacts: dbt models, DAGs, schema docs, data contracts, and test suites., • Hourly contractor, • Upload resume, • AI interview based on your resume

Job Description Role & Responsibilities: • Provide technical support in creating and managing data assets, ensuring seamless integration with pricing products and business processes, • Support the design and development of end-to-end data architecture for pricing and analytics solutions, • Collaborate with Product, Underwriting, IT, and Actuarial teams to gather, analyze, and translate data requirements into actionable solutions, • Develop and maintain data pipelines, feature engineering workflows, and datasets for pricing models, • Monitor and optimize performance, scalability, and reliability of data solutions and models, • Perform data analysis and suggest steps to enhance pricing strategies, • Ensure data quality, governance, and compliance with regulatory standards, • Support deployment, validation, and monitoring of pricing models in production environments, • Bachelor's or master's degree in data science, Statistics, Mathematics, Computer Science, Engineering, or related field, • 4+ years of experience in data science, analytics, or pricing-related roles, • Understanding of insurance pricing, underwriting, and risk modeling, • Familiarity with insurance concepts and pricing methodologies, • Knowledge of regulatory and compliance requirements in insurance, • Strong proficiency in Python/R for data analysis and modeling, • Expertise in SQL and large-scale data processing, • Experience with machine learning techniques, • Familiarity with data engineering concepts (ETL pipelines, data lakes, warehouses), • Knowledge of big data technologies is a plus, • Experience with cloud platforms (AWS, Azure, GCP) preferred, • Exposure to data visualization tools (Power BI, Tableau, etc.), • Strong analytical thinking and problem-solving abilities, • Ability to work in cross-functional, collaborative environments, • Effective communication and stakeholder engagement skills, • Attention to detail and commitment to data accuracy and quality

Responsibilities include leading QA team members, developing test strategies, and ensuring quality metrics are met. A technology solutions provider is seeking an ETL QA Tester to work 100% remotely.

A tech solutions company is hiring an ETL QA Tester in New Jersey for a remote role. This position involves leading a QA team, designing comprehensive testing strategies, and ensuring best practices while collaborating with various stakeholders.

Role: Databricks ArchitectLocation: RemoteDomain Experience: InsuranceResponsibilities:Develop and optimize ETL pipelines from various data sources using Databricks on cloud (AWS, Azure, etc. Experienced in implementing standardized pipelines with automated testing, Airflow scheduling, Azure DevOps

The ideal candidate will design, build, and optimize scalable data pipelines, ensure data quality, and enable advanced analytics and reporting through BigQuery, Dataflow, Dataform, Looker, and Python. Design, develop, and maintain scalable ETL/ELT pipelines using Dataflow, Dataform, and BigQuery. En

Job Description Apply now: Lead Analytics and AI Engineer, location is Remote. The start date is ASAP for this permanent position. Job Title: Lead Analytics and AI Engineer Location-Type: Remote (EST hours; optional access to NYC office) Start Date Is: ASAP Duration: Permanent Compensation Range: $130,000 – $150,000 base salary bonus Benefits: Medical, dental, vision, 401k, PTO Not eligible for visa sponsorship Job Description: Lead the design and delivery of analytics and AI solutions by turning business needs into scalable data pipelines, models, and production-ready technical solutions. Day-to-Day Responsibilities: * Partner with business stakeholders to gather requirements and translate problems into AI and analytics solutions * Design and build scalable data pipelines, ETL/ELT workflows, and data platform components * Write hands-on code in Python and SQL to develop pipelines, models, and supporting solutions * Build and optimize solutions in Databricks for analytics, reporting, and AI use cases * Create documentation and technical requirements for offshore development teams * Guide offshore execution and ensure solutions are delivered accurately and efficiently * Improve data quality, performance, monitoring, and reliability across pipelines and platforms * Support analytics, business intelligence, reporting, and AI initiatives with scalable data architecture Requirements: Must-Haves: * 6–10 years of experience in data engineering, analytics engineering, or related roles * Strong hands-on Python and SQL skills * Experience building and maintaining ETL/ELT pipelines and data workflows * Strong background in data engineering, data pipelines, and data warehousing * Databricks experience * Experience designing and delivering data and AI solutions * Ability to translate business needs into technical solutions * Strong communication skills and comfort in a client-facing environment * Bachelor's degree in Computer Science, Engineering, Information Systems, or related field Nice-to-Haves: * AWS experience * Experience with AI/ML tools or AI solution development * Experience with workflow orchestration tools such as Airflow * Experience with API-based ingestion and modern cloud data platforms * Experience supporting near real-time analytics or reporting environments

Job Description Our client is an AI-powered Healthtech software startup in New York City, NY building infrastructure solutions to automate administrative tasks for the healthcare industry, reducing processing time, errors and ultimately resulting in cost savings and improved patient outcomes. Qualified candidates will have a minimum 3+ years of hands-on professional experience building data pipelines, data warehouses and analytics infrastructure in production environments. Applicants must have hands-on experience with the following technologies: SQL, Python (or R), at least one modern data warehouse (Databricks, Redshift, Snowflake, BigQuery) and RDBMS (Postgres, MySQL). BSCS or equivalent is required and top-tier universities are preferred. Candidates should have startup experience and the desire to work in a fast-paced environment. The Data Engineer will build data pipelines, ETL/ELT with modern orchestration tools (Airflow, DBT, Dagster), and any experience in Healthtech and/or HL7 or regulated data environments are a plus. The role features competitive base salary, equity and comprehensive benefits. Please send your resume to for consideration.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Data Engineering Expert Type: Contract Compensation: $90–$125/hour Location: Remote Role Responsibilities • Build long-horizon pipeline tasks with deterministic rubrics to grade agent performance against verifiable ground truth., • Develop ETL/ELT pipelines and dbt models to produce specified output tables with incremental logic and defined watermark behavior., • Create Airflow/Dagster DAGs that pass test suites and data quality tests with known pass/fail cases., • Design warehouse schemas matching defined contracts and performance targets tied to measured query-time budgets., • Work independently in long focus sessions to create challenging scenarios for agent evaluation. Must-Have • BS or MS in CS or related field., • 3+ years in data engineering or analytics engineering., • Expertise in dbt model development, pipeline orchestration (Airflow, Dagster, Prefect), warehouse design (Snowflake, BigQuery, Redshift, Databricks), and data quality and testing., • Comfortable with data engineering artifacts: dbt models, DAGs, schema docs, data contracts, and test suites., • Hourly contractor, • Upload resume, • AI interview based on your resume

This role is ideal for engineers who enjoy working with large-scale data systems, distributed processing frameworks, and high-volume ETL pipelines while collaborating closely with analysts and stakeholders. Data Engineering, building and maintaining data infrastructure and pipelines. Understanding o

Mandatory Skills/Experience: Candidates who do not have the mandatory skills will not be considered.At least 8 years of experience and technical knowledge in: Data mapping, ETL integration, Netscout, Jasper reporting, Oracle Analytics, BMC Remedy ARS to monitor and manage different aspects of the IT

Experience working with NLP and Machine Learning.Expert experience working with GenAI and LLM tools (i.Tangible experience working with ETL, relational databases, NoSQL or MongoDB.Worked on Vertex AI and good experience on Voice AI conversation.Posting Date 03/26/2024, 03:23 PM.

Skills and Requirements 5+ years of experience in data engineering with a focus on large-scale distributed data systems Strong proficiency in Python, SQL, and Scala Deep hands-on experience with Apache Spark (PySpark, Spark SQL) for building ETL pipelines and data transformations at scale Experi

Education & Certification Requirements Bachelor's degree in Computer Science, Data Engineering, Health Informatics, or related field Location 100% Remote Responsibilities Develop scalable ETL/ELT pipelines Normalize and map clinical data to LOINC, SNOMED CT, RxNorm, CVX Build data models for qu

Job Description Role: Data Engineer Gen AI / Python Location: Whippany NJ (2 daysoffice) - hybrid Pleasee share me tha profiles at Job Description: Experienced and skilled in designing, building, and maintaining high-quality data pipelines, preprocessing workflows, and vector databases required for training, fine-tuning, and deploying Large Language Models (LLMs). Build and maintain high-throughput data pipelines, infrastructure, and storage solutions specifically to feed, train, and deploy AI/ML models, implementing RAG (Retrieval-Augmented Generation) systems, data cleaning, and model evaluation to ensure efficient, scalable, and reliable LLM applications. Required Skills & Qualifications Strong proficiency in Python is essential, along with SQL and NoSQL for data management. Experience with LangChain, LlamaIndex, Hugging Face Transformers, and OpenAI API Experience with Apache Spark, Kafka, or modern data stack tools. Knowledge of NLP techniques, word embeddings, tokenization, and vector mathematics. Familiarity with TensorFlow, PyTorch, or Hugging Face Familiarity with cloud platforms (AWS, GCP, Azure), CI/CD, Docker, and Kubernetes. Key Responsibilities Design and build robust ETL/ELT pipelines for unstructured text data, including scraping, cleaning, deduplication, and transformation for LLM training. Build and maintain vector search solutions (e.g., Pinecone, Milvus, Weaviate, Chroma) to store and retrieve embeddings for RAG systems. Prepare high-quality datasets for fine-tuning adapters (e.g., LoRA) and train LLMs using frameworks like PyTorch or TensorFlow. Implement Retrieval-Augmented Generation using frameworks like LangChain or LlamaIndex to connect LLMs to company data. Develop evaluation frameworks for model performance, testing for accuracy, hallucination, and bias, and monitor deployed models. Create APIs and internal web tools for data annotation, curation, and model interaction

Job DescriptionBeghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. This role supports the conceptualization, execution, and integration of data-driven projects for commercial efforts in the pharmaceutical and life sciences industries. As a subject matter expert, you will drive innovation and creative solutions within various work streams and provide thought leadership. You will lead project teams and play a pivotal role in guiding internal stakeholders toward project success.We'll trust you to: • Lead cross-functional project teams in the design and development of high-quality deliverables for clients., • Provide strategic advice on project direction, resource management, and timelines, while assuming responsibility for key data analytics tasks to support internal teams and clients., • Collaborate with leadership to define project scope, approach, and development strategies., • Contributes to Beghou’s internal data warehouse build (ARMADA)., • Demonstrates knowledge of data platform components (warehouse, monitoring, etc.) and data engineering (ETL design, schema design, etc.) and CI/CD best practices., • Analyze data, synthesize findings, and develop actionable insights, communicating results to both internal and external teams., • Independently manage projects, handling client communications, meeting facilitation, and timelines, serving as a primary point of contact with minimal oversight., • Develop and optimize data processes, utilizing coding where necessary to facilitate efficient data handling and reporting., • Coordinate with global and diverse teams to ensure seamless project execution., • Engage in business development activities and contribute to internal firm initiatives to drive organizational growth., • Provide mentorship and guidance to junior team members, overseeing their professional development and encouraging continuous improvement and innovation within the team.You will need to have:, • Bachelor’s or advanced degree with at least 6 years of relevant professional experience, preferably in the pharmaceutical or life sciences industry., • Experience with relational database technologies, including PostgreSQL, Oracle, MySQL, Databricks, and Snowflake., • Strong proficiency in Microsoft Office tools (Word, PowerPoint), with advanced expertise in Excel., • Knowledge of coding languages (SAS, Python, R, VBA, etc.) and experience with data visualization software (Tableau, Power BI) is highly preferred., • Excellent analytical and quantitative skills, with a proven ability to solve complex problems., • Exceptional communication skills, both written and verbal., • Demonstrated organizational, time management, and project management skills, with the ability to lead teams and manage multiple projects simultaneously., • Strong ability to collaborate, adapt quickly, and work effectively in a fast-paced environment. 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 DescriptionSenior Data Engineer Senior Data Engineer (Snowflake, dbt) Location: Hybrid NYC or NJ/CT Comp: $150K-$200K base + bonus We're partnering with a fast-growing company at the intersection of data, analytics, and real-world consumer insights. Their platform processes large-scale datasets to power reporting, analytics, and business decision-making across multiple teams. They're looking for a Senior Data Engineer to own the full data lifecycle, from ingestion and modeling through to enabling business-facing analytics. What You'll Do • Build and maintain scalable data pipelines across batch and near real-time workflows, • Design and optimize data models in Snowflake for analytics and reporting, • Develop and manage transformation workflows using dbt, • Own data ingestion processes using modern ELT tools and frameworks, • Partner with business stakeholders to translate requirements into data models and insights, • Support dashboards and reporting workflows (Sigma or other BI tools), • Establish best practices for data quality, governance, and documentation, • Strong experience with SQL and Python, • Hands-on experience with Snowflake and dbt (required), • Experience building and maintaining modern ETL/ELT pipelines, • Experience working with cloud platforms (AWS preferred), • Strong understanding of data modeling and analytics engineering best practices, • Experience with Sigma Computing or similar BI tools, • Background in analytics, BI, or reporting-heavy environments, • Experience with Fivetran or similar ingestion tools, • Experience with Tableau or Power BI, • High visibility across business and leadership teams, • Ownership of both backend data systems and reporting layer, • Modern data stack (Snowflake, dbt, cloud), • Competitive base + bonus, • Medical, dental, and vision, • 401k with match, • Generous PTO, • Professional development budget - For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 04/09/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

A technology solutions provider is seeking a Senior SAP Developer (ETL) to join their team remotely. The role involves architecting and implementing ETL pipelines to integrate SAP data into a cloud-based platform. Candidates should have a strong background in SAP technologies, cloud data services, a

A leading healthcare solutions provider in the United States seeks an ML Engineer passionate about MLOps and data reliability.You will build and maintain pipelines for AI in Healthcare Information Systems, deploy ML models securely, and develop ETL processes.The ideal candidate holds a Bachelor's or