Data/Software Engineer

Volume Integration • McLean, VA

6h • Onsite

About The Position

Build modern data solutions that drive mission-critical decision making. NS2 Mission is seeking a Data & Software Engineer to support the team in McLean, VA. In this role, you'll work as part of a small, highly collaborative engineering team to design, develop, and maintain scalable data pipelines and software solutions supporting mission operations. You'll leverage modern cloud technologies, big data frameworks, and AI/ML capabilities to build high-performance applications and data workflows that transform complex data into actionable intelligence. If you enjoy solving challenging engineering problems while working across data, software, and cloud technologies, we'd love to hear from you.

Requirements

• 5+ years of experience building production data pipelines and scalable ETL solutions.
• Advanced Python development experience, including Pandas and NumPy.
• Experience developing with Apache Spark and PySpark.
• Experience deploying containerized applications using Docker or Podman.
• Experience working with AWS services including S3, Lambda, and Step Functions.
• Strong SQL experience, including Trino, MySQL, and PostgreSQL with performance tuning and schema design.
• Experience working with NoSQL technologies such as DynamoDB.
• Experience with workflow orchestration tools including Apache Airflow and Apache Iceberg.
• Familiarity with Infrastructure as Code using Terraform or CloudFormation.
• Experience using Git and modern source control practices.
• Experience with Bash scripting for automation and data processing.
• Understanding of data governance, security, privacy, lineage, and compliance principles.
• TS/SCI with an FSP clearance requirement.
• Ability to obtain or maintain a U.S security clearance which requires U.S citizenship.

Nice To Haves

• Experience with Unity Catalog OSS, Apache Polaris, and OpenLineage.
• Experience with Apache Superset or similar data visualization platforms.
• Experience working with geospatial data technologies including H3 and PostGIS.
• Experience supporting AI/ML model deployment and production data workflows.
• Experience supporting large-scale data migration or platform modernization initiatives.

Responsibilities

• Design, develop, and maintain scalable end-to-end data pipelines using Python and modern data engineering frameworks.
• Build and optimize ETL workflows that process structured, unstructured, and geospatial data at scale.
• Deploy and manage containerized applications within AWS cloud environments.
• Develop and optimize SQL and NoSQL data solutions, including database design, performance tuning, and query optimization.
• Integrate AI/ML models and services into production data workflows.
• Utilize orchestration tools to automate data pipelines and manage Spark jobs.
• Maintain data governance, lineage, cataloging, and compliance best practices across enterprise datasets.
• Collaborate with stakeholders to gather requirements, design technical solutions, and support platform modernization initiatives.
• Troubleshoot pipeline failures, performance bottlenecks, and data quality issues while contributing to engineering best practices and technical documentation.

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: Mid Level
• Education Level: No Education Listed