Data Engineer - San Antonio (Hybrid)

IAMUS ConsultingSan Antonio, TX
$138,000 - $185,000Hybrid

About The Position

IAMUS Consulting is seeking a Senior Data Engineer / Technical Lead to support mission-critical cyber and network operations within the Department of War and Intelligence Community. In this role, you will design, build, and optimize data pipelines that transform complex, high-volume data into actionable intelligence supporting national security efforts. This is more than a hands-on engineering role—you will also lead technical direction, mentor team members, and help shape the future of data engineering across the program.

Requirements

  • A current U.S. Government Secret Security Clearance is required. U.S. Citizenship required
  • 9+ years of experience in data engineering, software engineering, or related technical fields and a Bachelors in a related field. (Additional experience may be considered in lieu of a degree)
  • Strong experience designing and building ETL pipelines and data ingestion frameworks
  • Hands-on experience with Kafka, NiFi, and AWS (S3, SQS)
  • Proficiency in Java with experience in unit and integration testing
  • Solid understanding of data formats (JSON, XML, SQL schemas, compressed formats)
  • Experience troubleshooting data pipelines, system performance, and dataflow issues
  • DoD 8570 IAT II certification (or higher)

Nice To Haves

  • Familiarity with Python, with experience in unit and integration testing.
  • Experience supporting cyber or network operations environments
  • Familiarity with Agile development environments
  • Experience with Kubernetes, Docker, or containerized deployments
  • Exposure to Apache Airflow
  • Strong documentation and communication skills
  • Experience developing training materials or mentoring team members

Responsibilities

  • Design and scale data ingestion pipelines for large, complex structured and unstructured data sets
  • Integrate new data sources and enhance existing data flows for performance and reliability
  • Lead efforts around data integrity, validation, monitoring, and troubleshooting
  • Support mission partners by enabling timely, accurate, and accessible data for analysis
  • Decompose and solve complex system and dataflow challenges across distributed environments
  • Collaborate with engineers, analysts, and stakeholders across mission teams
  • Provide technical leadership, mentorship, and guidance to junior and other mid-level engineers
  • Drive best practices across ETL development, data modeling, and system architecture
  • Guiding data engineering strategy and architecture decisions
  • Mentoring engineers and promoting best practices
  • Driving innovation across data ingestion, processing, and analytics capabilities
  • Supporting program growth and long-term technical vision

Benefits

  • Medical, dental, and vision insurance
  • Life and disability insurance
  • 401(k) and financial planning support
  • Paid time off and holidays
  • Professional development and tuition assistance
  • Dependent care support
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service