Senior Data Engineer

Volume Integration • Chantilly, VA

8d • Onsite

About The 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. NS2 Mission is seeking a Senior Data Engineer to join a growing engineering team in Chantilly, VA. This role is ideal for a seasoned data engineering professional who not only brings deep technical expertise in Python and ETL development, but who is also excited to take on a technical leadership role within the team. The ideal candidate will help guide data architecture decisions, mentor junior engineers, and drive best practices across modern cloud-based data platforms.

Requirements

• 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
• TS/SCI with an FSP clearance
• Ability to obtain or maintain a U.S security clearance which requires U.S citizenship

Nice To Haves

• 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

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

Benefits

• culture of inclusion
• focus on health and well-being
• flexible working models
• accessibility accommodations to applicants with physical and/or mental disabilities

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed