Data Engineer - Columbia, MD (Hybrid)

IAMUS Consulting

$133K — $238K *
Aerospace & Defense
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 14+ years of data engineering or related experience with a Bachelor's in a related field (or equivalent experience)
  • Strong expertise in designing and building ETL pipelines
  • Hands-on experience with Kafka, NiFi, and AWS services (S3, SQS)
  • Proficiency in Java, including unit and integration testing experience
  • Solid understanding of data formats like JSON, XML, and SQL schemas
  • Experience troubleshooting data pipelines and system performance
  • DoD 8570 IAT II certification (or higher)

Responsibilities

  • Design and scale data ingestion pipelines for complex data sets
  • Integrate new data sources and enhance existing data flows
  • Lead efforts in data integrity, validation, and troubleshooting
  • Enable timely and accurate data for mission partners
  • Decompose and solve complex system and dataflow challenges
  • Collaborate with engineers and stakeholders across teams
  • Provide technical leadership and mentorship to junior engineers
  • Drive best practices in ETL development and data modeling

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
Full Job Description
Description

Data Engineer - Senior / Technical Lead

IAMUS Consulting | Columbia, MD (Hybrid)

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.

What You'll Be Doing

  • 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 mid-level engineers
  • Drive best practices across ETL development, data modeling, and system architecture


Requirements

Required Qualifications

  • A current U.S. Government Security Clearance is not required at start. but the candidate should be "clearable". U.S. Citizenship required.
  • 14+ 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)


Preferred Qualifications

  • 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


Tech Environment

Languages: Java, Python, SQL

Data & Streaming: Kafka, Apache NiFi

Cloud: AWS (S3, SQS, SNS)

Tools: GitLab, Maven, VSCode, IntelliJ

Other: YAML configuration, Linux (Bash), data modeling & ETL frameworks

Work Location

Hybrid - Columbia, MD

Leadership Opportunity

This role includes technical leadership responsibilities, including:

  • 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


Compensation & Benefits

Salary range: $133,000 - $238,000, depending on experience, clearance level, location, and contract requirements.

We offer a comprehensive benefits package, including:

  • 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


Ready to Make an Impact?

If you're a senior data engineer ready to lead, innovate, and contribute to mission-critical work, we'd love to connect.

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