Senior Data Engineer

Senior Data Engineer Location: Chantilly, VA, United States About this position Join a collaborative, mission-driven team where your leadership in Python, ETL, and cloud data engineering will directly shape scalable data solutions supporting critical mission objectives. Key Responsibilities Lead the design, development, and optimization of scalable ETL pipelines and enterprise data workflows Architect and implement robust Python-based data processing solutions in production environments Provide technical leadership and mentorship to junior and mid-level engineers across the team Drive improvements in data quality, pipeline reliability, scalability, and operational performance Collaborate closely with engineering leadership, product stakeholders, and cross-functional teams in an Agile environment Support cloud-native data solutions within AWS environments and contribute to infrastructure modernization efforts Participate in technical planning, solution design discussions, and long-term data strategy initiatives Troubleshoot complex data engineering challenges and provide guidance on best practices and process improvements Required Qualifications 8–12+ years of experience in data engineering, software engineering, or related technical fields Strong expertise across the full ETL lifecycle including architecture, development, optimization, and maintenance Advanced proficiency in Python for large-scale data processing and pipeline development Hands‑on experience working within AWS cloud environments (EC2, Lambda, EKS, S3, etc.) Experience leading technical initiatives or mentoring engineering teams Strong understanding of scalable data architecture and engineering best practices Experience working within Agile development environments Preferred Qualifications Experience with workflow orchestration tools such as Apache Airflow Experience with containerization technologies including Docker and Kubernetes Experience with infrastructure as code tools such as Terraform Familiarity with CI/CD pipelines and DevOps best practices Strong analytical and problem‑solving skills with the ability to improve data quality and operational efficiency What We’re Looking For A senior‑level Data Engineer who can lead by example while remaining hands‑on technically Someone who enjoys mentoring team members and helping drive engineering best practices A collaborative technical leader comfortable influencing architecture and solution direction A candidate with strong Python and ETL expertise who can contribute immediately to complex data engineering initiatives Someone excited to help shape and scale modern cloud‑based data solutions within a growing team Position Clearance Requirement TS/SCI with an FSP Please be aware, many of our positions require the ability to obtain or maintain a U.S. security clearance which requires U.S. citizenship. Equal Employment Opportunity Statement Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. #J-18808-Ljbffr