Source Job

• Design, develop, and maintain robust and scalable data pipelines using Apache Spark and cloud-native data services.
• Build, optimize, and support ETL/ELT workflows to enable analytics, reporting, and downstream applications.
• Implement and manage data solutions using Databricks, Delta Lake, and Unity Catalog.

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, they have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe.

• Design and optimize scalable data pipelines and architectures for Data & AI initiatives.
• Build cloud-native solutions using Azure, Databricks, and big data technologies.
• Collaborate with business stakeholders to deliver data-driven solutions and contribute to a strong data culture.

Redcare Pharmacy is Europe's leading e-pharmacy, driven by innovation and a mission to ensure every human has access to health. The company fosters a collaborative and healthy work environment, with a team passionate about cutting-edge technology and data-driven solutions.

• Design and implement medallion architecture using Delta Lake.
• Build and optimize scalable data pipelines using Apache Spark.
• Implement Unity Catalog for data lineage and access control.

V2 Strategic Advisors transforms media and advertising sales organizations with management and technology consulting. They are a lean, elite team of consultants, technical architects, and data experts who operate with the rigor of global management consulting and the energy and agility of a startup.

• Lead and manage a global data engineering team building large-scale data pipelines and production datasets for the Public Investor business.
• Collaborate with product, research, and operations teams to translate roadmap priorities into scalable technical plans and customer-facing data feeds.
• Drive operational excellence through data quality frameworks, observability, and AI-assisted development practices.

YipitData is the leading market research and analytics firm for the disruptive economy, providing actionable insights from alternative data. With over $475M raised and offices globally, it has a people-centric culture recognized as a Best Workplace for three consecutive years.

• Work directly with business and technical stakeholders to identify high-value data and AI use cases that can be delivered on Databricks
• Design, build, and deploy production-grade data and AI solutions using Databricks capabilities across the Lakehouse, Mosaic AI, Unity Catalog, Databricks SQL, Workflows, Delta Lake, Databricks Apps, Genie, Agents, and Lakebase
• Lead client discovery sessions to understand business workflows, data availability, platform maturity, integration needs, and measurable success criteria

Aimpoint Digital is a market-leading data, AI, and operations research advisory and solution engineering firm. They help organizations build modern data platforms, enterprise AI systems, decision intelligence solutions, optimization models, and production analytics capabilities.

• Assess current source systems, data flows, integrations, and architectural constraints to identify gaps and risks.
• Define the target-state data platform architecture, recommending tools like Azure, Databricks, or AWS based on business value and scalability.
• Support AI readiness assessment and provide input into data governance, security, and compliance principles.

Exadel is a global tech company with over 25 years of engineering leadership, serving Fortune 500 clients like HBO, Microsoft, Google, and Starbucks. With 2,000+ team members and 500+ active projects, we foster an ambitious, collaborative culture.

• Design, build, and operate data pipelines for analytics and AI/ML capabilities.
• Architect ingestion, transformation, and storage pipelines across diverse data sources.
• Implement data models suitable for analytics and BI consumption.

Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly. They identify the top-fitting candidates and share the shortlist directly with the hiring company.

• Design and build ETL processes in collaboration with software and model development teams.
• Create and maintain scalable data infrastructure.
• Own full pipeline and infrastructure lifecycle including performance monitoring and optimization.

OpenTeams builds AI that empowers, with models that are energy-efficient, cost-effective, and fully yours. They are proponents of open source, reinvesting 3% of profits back into the open-source community and value freedom, teamwork, accountability, and uncompromising quality.

• Engineer the Databricks platform across Azure and GCP.
• Evolve data and AI governance in Unity Catalog.
• Partner on data, feedback loops, and AI-driven data products.

Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains and supporting the people who manage them. They have over 2000 employees around the world and they have a best-in-class HQ in Ottawa, Canada.

• Build and optimize scalable data pipelines using Python and dbt.
• Design and maintain Snowflake warehouse structures, database tables, and performant data models.
• Develop reliable ETL/ELT workflows for extracting, transforming, loading, and validating data from multiple sources.

We are seeking a Senior Data Engineer to support core marketplace analytics data products and platform work. Enterprise experience is strongly preferred.

• Architect and lead the design of data systems serving both operational business stakeholders and product/engineering teams.
• Extend internal AI platform and bring software engineering rigor to data work including testing, CI/CD, and code review.
• Build and own data models, partner with product engineering, and mentor teammates to raise the technical bar.

ZipRecruiter is a leading online employment marketplace powered by AI-driven intelligent matching technology. The company has the #1 rated job search app on iOS & Android and connects job seekers with millions of businesses.

• Design and build an integrated data platform, unifying existing tools and pipelines into a cohesive, scalable architecture.
• Own data pipelines and SLAs end to end, ensuring reliable data movement between systems with clear expectations.
• Shape the data strategy and platform roadmap, researching new technologies and introducing tools as the platform evolves.

Wrapbook is a vertical fintech platform that enables companies to seamlessly onboard, pay, and insure their workforces, operating in the entertainment industry. They are at an exciting stage of growth, having raised over 30M from investors like Andreessen Horowitz.

• Lead workspace architecture, Unity Catalog governance, and cluster policy design for client tenant organizations.
• Perform tenant discovery, requirements gathering, source profiling, and security classification for new data intake requests.
• Develop end-to-end technical designs for tenant onboarding, including Data Sharing Agreements and SLA documentation.

M9 Solutions provides IT services and solutions to the Federal Government, mobilizing skilled people and technologies for improved performance and sustainable change. With 15+ years of proven delivery and growth, the company has been recognized as an Inc. 5000 Fastest-Growing Private Company multiple times and values diverse perspectives.

• Design and implement data-driven solutions on GCP including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Looker/BI.
• Build and optimize ETL pipelines using SQL and Python to extract, clean, and transform structured and unstructured data from ERP, procurement, logistics, and facility management systems.
• Ensure data governance, lineage, and compliance across supply chain datasets while continuously optimizing query performance and pipeline reliability.

Innodata is a global data engineering company that enables the responsible advancement of artificial intelligence by providing data, evaluation frameworks, and human expertise. With over 36 years of legacy, Innodata delivers high-quality data and outstanding outcomes for generative AI builders and adopters.

• Lead data architecture, pipeline development, and data integrations on a generative AI platform to automate enterprise workflows.
• Design and implement multi-zone enterprise data lakes on AWS S3 with batch and streaming ingestion pipelines.
• Develop and deploy ML models on AWS SageMaker for use cases like lead scoring and predictive maintenance.

Capnexus is a comprehensive services provider specializing in designing, building, and supporting retail software. The company follows a build-as-a-service model with a culture built on outcomes and delivery, employing outstanding professionals across various platforms and verticals.

• Lead the implementation and testing of Microsoft Fabric, evaluating ETL processes and query performance.
• Design, build, and optimize data pipelines using Azure Data Factory (ADF) and Fabric to move data from enterprise systems to a central warehouse.
• Design and document data architectures involving data lakes, lakehouses, and cloud databases.

Trility Consulting fosters a strong remote-work culture where people thrive and support each other, earning a Great Place to Work Certification. They embrace flexible schedules and collaboration across geographically distributed teams, serving clients globally.

• Architect and evolve scalable data ingestion and egress frameworks and pipelines that are well tested and offer strong data quality monitoring.
• Architect and evolve our CI/CD processes - enhancing the testing environment and observability.
• Enhance our Claude Code / LLM development support capabilities - creating tools / skills / agents that give our LLMs more context and help us continually improve their abilities to debug, create code, and maintain systems.

Life360’s mission is to keep people close to the ones they love. They have a mobile app, tracking devices, and a pet GPS tracker. Life360 has more than 500 (and growing!) remote-first employees and delivers peace of mind and enhances everyday family life.

• Design and build end-to-end data pipelines across the RAW, Silver, and Gold layers of the Medallion Architecture.
• Architect data ingestion, transformation, standardization, and serving processes, that structure data flows from diverse and heterogeneous sources into a coherent analytical foundation.
• Model data for analytical consumption following Data Warehouse best practices, including Star Schema design and dimensional modeling suited for business intelligence and AI-readiness.

CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, they’ve built partnerships with more than 1,000 clients during their 30 years of history, valuing diverse identities and life experiences.

• Build and maintain ELT pipelines using Fivetran and custom API integrations via Dagster, including setting up new source connectors and troubleshooting.
• Manage and improve our Dagster orchestration — scheduling jobs, debugging failures, and keeping pipeline runtime tight.
• Maintain and improve our GitHub Actions CI/CD workflows to ensure safe, reliable deployment of dbt models into production.

Wisp is on a mission to put healthcare back in patients’ hands by connecting them with hassle-free sexual + reproductive care online. They are a growing, fully-remote team in the United States looking for collaborators who are committed to their mission.

• Design, develop, and maintain scalable ETL/ELT data pipelines using Python.
• Process and integrate data from multiple formats and sources (JSON, CSV, XML).
• Build and manage data transformations and orchestration workflows using dbt and orchestration tools such as Airflow, Prefect, or Dagster.

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