Senior Data Engineer - Federal (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer - Federal in United States.

This role offers the opportunity to design, build, and deploy data-centric and AI-driven enterprise applications for federal clients. You will work at the intersection of data engineering, cloud architecture, and GenAI/LLM workflows, ensuring high-performance, scalable, and compliant solutions. The position involves hands-on pipeline development, data validation, and automation, as well as technical leadership, mentoring, and client engagement. Working onsite part-time, you will collaborate with cross-functional teams to deliver impactful solutions, support proposals, and lead demos and trainings. Ideal candidates thrive in dynamic environments, value precision and compliance, and have a passion for advancing federal data solutions with innovative technologies.

Accountabilities

• Design, develop, and maintain ETL/ELT pipelines to ingest, process, and validate data from multiple sources.
• Integrate new data sources seamlessly into existing pipelines.
• Implement automated data validation frameworks and monitor data quality, lineage, and performance.
• Architect solutions across cloud platforms (AWS, Azure, GCP) and support LLM training and inference workflows.
• Develop data preprocessing pipelines for GenAI use cases while ensuring security, privacy, and compliance (e.g., FedRAMP).
• Lead development teams, mentor junior engineers, and provide technical guidance on enterprise application projects.
• Deliver customer-facing presentations, demos, deep-dives, and training sessions on data and AI solutions.
• Support proposal and technical documentation efforts with subject-matter expertise in data engineering and AI/ML.

• Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Statistics, or related technical field.
• 5+ years of experience in data engineering or full-stack development.
• Strong SQL skills and proficiency in Python, Java, or Scala.
• Hands-on experience with ETL frameworks such as Apache Airflow or AWS Glue.
• Experience with cloud platforms including AWS, Azure, or GCP.
• Knowledge of data validation, quality frameworks, and lineage tracking.
• Strong leadership skills with experience guiding engineering teams.
• Excellent communication, collaboration, and problem-solving abilities.
• Must be local to the DC Metro area and able to work onsite 3 days/week.
• Ability to obtain and maintain a federal government security clearance; U.S. citizenship required.

Preferred Qualifications:

• Experience with LLM data workflows, vector databases, and AI model deployment.
• Familiarity with BI and visualization tools (Tableau, Power BI, Looker).
• Knowledge of streaming technologies (Kafka, Kinesis).
• Experience with containerization and orchestration (Docker, Kubernetes).
• Active TS/SCI clearance with CI Poly preferred.
• Experience supporting federal government programs, especially DoD.

• Comprehensive medical, dental, and vision coverage.
• Flexible Spending Account (FSA).
• 4% 401(k) match with immediate vesting.
• Paid Time Off (PTO).
• Tuition reimbursement, certifications, and professional development support.
• Flexible work schedule.
• On-site gym and childcare options.
• Competitive compensation range: $89,901 - $175,477, depending on experience and qualifications.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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