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Senior Data Engineer
Volume-Integration
- Chantilly, Virginia, United States
- Chantilly, Virginia, United States
About
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.
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Languages
- English
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