About this role
Overview
LMI is seeking a Senior Data Engineer supporting Special Operations Command (SOCOM) on-site in Crystal City. The position involves providing big data ETL support on classified data and systems to directly support client mission. This position requires an active Top Secret SCI Clearance, for which you must be a US citizen.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and civilian sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
Responsibilities will include:
- Design, develop, and implement scalable data pipelines and ETL processes using Apache Airflow
- Implement and optimize Python-based data processing solutions.
- Utilize Trino for distributed SQL query processing.
- Develop messaging solutions utilizing Kafka to support real-time data streaming and event-driven architectures.
- Build and maintain high-performance data retrieval solutions using ElasticSearch/OpenSearch.
- Integrate batch and streaming data processing techniques to enhance data availability and accessibility.
- Ensure adherence to security and compliance requirements when working with classified data
- Work closely with cross-functional teams to define data strategies and develop technical solutions aligned with mission objectives.
- Deploy and manage cloud-based infrastructure to support scalable and resilient data solutions, including AWS S3.
- Optimize data storage, retrieval, and processing efficiency, focusing on big data.
Qualifications
Required Skills
- Bachelor’s degree or higher in data engineering, computer science, data science, or similar
- At least 5 years of experience in data engineering or related work
- Expert in Python with significant on the job experience
- Advanced proficiency in SQL (especially Postgres and/or Trino) with significant on the job experience
- Significant experience with big data technology and ETL
- Experience with Airflow (or equivalent) as an ETL workflow technology
- Experience with Kubernetes as an operating environment and Helm as infrastructure management
- Experience with AWS or equivalent cloud based services (e.g. S3 or S3-like services)
- Active TS/SCI Clearance, for which you must be a US citizen
Desired Skills
- Experience with Postgres or Trino
- Experience with Apache Iceberg, Hive, HDFS, or Spark
- Previous DOD experience
- Active CI Poly
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Other facts
About Logistics Management Institute
LMI is a new breed of digital solutions provider, disrupting the traditional govcon model with commercial-grade technology that is ready day-one. Driven by mission impact and backed by hard-earned customer trust, we help federal agencies move faster and smarter—delivering where it matters most. Experience and innovation fuel the what; expertise and precision drive the how.
Our commitment to our customers means staying ahead of the curve—and their mission needs. Leveraging cutting-edge platforms, mission-ready AI, and iterative collaboration, we deliver real results and meaningful transformation for the U.S. government. The outcome: agencies that are more agile, more responsive, and always ready for what’s next.
What you'll do
- The Senior Data Engineer will design, develop, and implement scalable data pipelines and ETL processes, ensuring adherence to security and compliance requirements. They will work closely with cross-functional teams to define data strategies and develop technical solutions aligned with mission objectives.
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