Minimum Qualifications: U.S. Citizen (Authorization to Work in the U.S. will not suffice); previous professional experience supporting the U.S. Federal Government, either as a federal employee or contractor, is required 4+ years of professional experience in data engineering, database development, or data-platform delivery Bachelor's degree in Computer Science, Information Systems, Data Engineering, or equivalent, OR 4 additional years of relevant professional experience in lieu of a degree Advanced Python software-engineering skills and experience building AWS Lambda functions and PySpark data-transformation pipelines Experience building, testing, and operating production ETL/ELT pipelines with automated data-quality controls •Experience with data modeling, schema migration, source-to-target mapping, lineage, reconciliation, and data-quality automation Experience integrating data platforms with REST APIs, application services, file exchanges, and event-driven interfaces Experience with Git, CI/CD, automated testing, logging, monitoring, performance tuning, and production support Active CompTIA Security+ or equivalent DoW-approved baseline cybersecurity certification, or ability to obtain within the first 30 days of starting Active Tier 2 background investigation or higher, completed or favorably adjudicated within the previous 18 monthsHighly Desired Qualifications: Experience using Palantir Foundry for data integration, transformation, lineage, governance, and operational workflows Active Secret security clearance preferredPrevious professional experience supporting a DoW organization, mission, or customer is strongly preferred; experience in modernizing COBOL flat files or legacy relational data into a modern relational architecture Experience integrating with Appian, Python microservices, financial transactions, logistics workflows, or high-volume external interfaces Experience serving as a technical team lead, mentoring junior engineers, or assisting teammates across delivery tasks Experience with BI, analytics, archival, records-retention, or NARA-aligned data lifecycle requirementsJob: Full-timeLocation: Remote (DMV/NCR area preferred)Salary Range: $130k-$155k/yearAssigned Forge Job Title: Project SpecialistEssential Duties:Problem Solving- Identifies and resolves problems promptly; gathers and analyzes information skillfully; develops alternative solutions; works well in group problem-solving situations; uses reason even when dealing with emotional topics. Key Responsibilities: Key responsibilities of the candidate will be (but aren't limited to):Build secure Python and AWS ETL/ELT pipelines for ingestion, transformation, reconciliation, and delivery Develop and evolve relational data models, schemas, indexes, constraints, views, and access patterns for MariaDB, PostgreSQL, or comparable platforms Develop data workflows and interfaces using Python on AWS Lambda and PySpark for event-driven, batch, and distributed transformation workloadsCreate automated data-quality checks for accuracy, completeness, consistency, timeliness, uniqueness, and business-rule conformanceImplement source-to-target mapping, lineage, auditability, restartability, exception handling, and controlled replay Develop parity tests that compare legacy and modern processing outcomes and document the disposition of intentional differencesTune SQL and pipeline performance for high-volume batch and near-real-time workloads while protecting transactional integrityImplement monitoring, logging, alerting, and operational dashboards for pipeline health, latency, failures, and data qualityAutomate CI/CD, version-controlled data changes, deployments, rollback, and operational recovery controlsCollaborate with architects, mission SMEs, Appian developers, testers, security personnel, and interface partnersQualifications/Requirements: The Candidate must be able to think strategically, act tactically, and demonstrate strong analytical and critical-thinking skills.