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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Dow - **Location:** Falls Church, VA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Application Integration Architecture, Microsoft Azure, Big Data, Information Engineering, Data Governance, Data Systems, Digital Assets, Python (Programming Language), Operational Data Store, SQL Databases, Software Repository, Data Ingestion, Apache Spark, Information Technology, Data Management, Data Pipelines, Databricks - **Published:** September 11, 2026 - **Apply:** https://www.thejobnetwork.com/job/9454dd91-a192-46c0-b71b-26e9471ea4c8/senior-data-engineer ## About the Role Citizenship & Clearance Requirement: per client requirements, candidates must be U.S. Citizens with an active DoW Secret clearance Education Requirement: Bachelor's Degree in Computer Science, Engineering, or related field (preferred) 540 Internal Thrive Level: Senior Data Engineer, * 7+ years of data engineering or related experience * Strong hands-on experience with Databricks * Experience building and managing data pipelines in Python and Databricks * Experience working with Palantir Foundry, including building pipelines, workflows, or applications * Strong proficiency in SQL and Python * Experience designing and implementing end-to-end data solutions based on user or stakeholder requirements * Experience working within DoW environments or supporting government programs * Experience working with Advana or similar large-scale government data platforms * Experience supporting financial management or financial analytics use cases * Experience leading or mentoring data engineering teams * Experience working in Agile environments and managing work across sprints * Strong communication skills and ability to work directly with technical and non-technical stakeholders, * Experience working with Warfighter or operational data platforms * Familiarity with Palantir Foundry application development patterns (Ontology, Code Repositories, Workshop, etc.) * Experience optimizing Spark jobs and Databricks performance * Experience with data governance, lineage, and access controls in enterprise environments * Experience integrating APIs and external data sources * Experience working with very large datasets (billions of records) * Experience with cloud platforms (AWS, Azure, or GCP) ## Description * Design and build scalable data pipelines using Python, SQL, and Databricks (Spark) in support of financial management and operational analytics * Develop and maintain data products within Palantir Foundry, including pipelines, transforms, and user-facing workflows * Translate stakeholder and mission requirements into end-to-end technical solutions across Databricks and Foundry environments * Build and manage workflows and applications within Foundry to support operational and analytical use cases * Support development of financial analytics datasets used for DoD reporting and decision-making * Integrate and transform complex datasets from Advana and other DoD systems into production-ready data assets * Ensure data quality, reliability, and performance across pipelines and workflows * Collaborate directly with mission stakeholders to understand evolving requirements and deliver impactful solutions * Lead and mentor a team of data engineers, providing technical guidance and establishing best practices * Manage and prioritize work using Agile methodologies, ensuring consistent delivery and alignment with mission needs * Contribute to architecture decisions and help define scalable patterns for data ingestion, transformation, and consumption ## Related Videos - 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