Data and Software Engineer; TS​/SCI w​/Poly

Chantilly, VA 20151

JTEC Consulting LLC focuses on successfully delivering solutions to meet our clients' most critical needs. Our founding members have decades of experience delivering a wide range of solutions to Air Force and DoD clients. We are a Veteran-Owned Small Business dedicated to bridging complex operational challenges with modern data solutions.

Security Clearance Requirement: Current TS/SCI with polygraph

Location

Note:

100% On-site

Relocation: Relocation support for candidates outside the commuting area will be considered

Position

Description:

JTEC Consulting is seeking an experienced Data and Software Engineer to join a focused, agile engineering team building high-throughput, mission-critical data flows for a custom enterprise application. The Data and Software Engineer will design, implement, and optimize end-to-end data architectures, robust ETL/ELT pipelines, and cloud-native infrastructure lified candidates will demonstrate advanced software engineering fundamentals in Python with deep distributed systems expertise, rigorous data governance standards, and modern Lakehouse tooling.

A current security clearance with agency-specific polygraph is strictly required for consideration.

• Pipeline Architecture and Orchestration: Architect, build, and maintain production-grade data pipelines and ETL/ELT workflows using Python, Apache Spark, and workflow orchestration frameworks (e.g., Apache Airflow)
• Lakehouse and Analytics Engineering: Deploy and optimize open table formats (Apache Iceberg) and federated query engines (Trino) to support low-latency analytical queries and large-scale data processing
• Database Design and Performance Tuning: Design relational schemas, maintain indexes, and execute query optimization on MySQL and PostgreSQL for complex analytical workloads
• Geospatial and Complex Data Handling: Ingest, structure, and analyze non-traditional and spatial data formats utilizing indexing systems and spatial extensions like Uber H3 and PostGIS
• Cloud and Infrastructure as Code (IaC): Containerize microservices and batch jobs using Docker or Podman, provisioning and managing scalable AWS resources (S3, Lambda, Step Functions) via Terraform or Cloud Formation
• Data Governance, Lineage and Metadata: Implement cataloging and end-to-end operational lineage tracking using Unity Catalog OSS, Apache Polaris, and Open Lineage to satisfy strict compliance, privacy, and security mandates
• AI/ML Model Integration: Collaborate with data science and engineering peers to integrate AI/ML services and operationalize inference models into upstream and downstream data workflows
• Modernization and Migration: Lead technical strategy for large-scale data migrations, schema evolutions, and platform modernization initiatives with minimal system downtime
• Stakeholder Collaboration and Best Practices: Translate ambiguous operational requirements into technical specifications with minimal oversight; author comprehensive technical documentation, establish testing standards, and mentor team members on data engineering design patterns

• U.S. citizenship
• Current TS/SCI with agency-specific polygraph required for consideration
• Bachelor's degree in Computer Science, Information Systems, or a related technical discipline (equivalent years of direct experience considered in lieu of a degree)
• 5+ years of progressive experience in data engineering, software engineering, or distributed backend systems
• Effective written and verbal communication skills to support a collaborative, cross-functional team including engineering peers and operational stakeholders
• Demonstrated ability to self-direct and solve complex performance bottlenecks in production distributed environments
• Prior experience delivering platforms within federal, defense, or highly regulated enterprise spaces

• Core Programming:
  • Advanced proficiency in Python, including standard scientific and data manipulation libraries (Pandas, Num Py)
  • Robust Bash scripting skills for system automation, container startup sequences, and utility pipelines
  • Professional familiarity with Java for troubleshooting or extending distributed data systems
• Big Data and Query Engines:
  • Deep production experience configuring, deploying, and tuning Apache Spark / PySpark jobs
  • Hands-on experience with modern Lakehouse formats (Apache Iceberg) and distributed SQL engines (Trino)
• Cloud and Infrastructure:
  • Strong AWS ecosystem expertise,…