Lead Data Engineer - Clearance Required
 LMI Consulting, LLC | |||||||||
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 Oct 30, 2025 | |||||||||
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Lead Data Engineer - Clearance Required Job Locations
US-VA-Crystal City
Overview LMI is seeking a Lead 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, with a focus on data for AI applications. * 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. * Implement and optimize Python-based data processing solutions. * 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. * Utilize Trino for distributed SQL query processing. * Leverage OpenMetaData for data discovery and governance. * Implement APIs using FastAPI for streamlined data interaction. * Ensure proper implementation of PKI's & ACCM's. * Integrate DIAS solutions within the data pipeline framework. 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 * Significant experience with big data technology and ETL * Experience with Airflow as an ETL workflow technology * Advanced proficiency in SQL (especially Postgres and/or Trino) with significant on the job experience * Experience with Kubernetes as an operating environment and Helm as infrastructure management * Experience with AWS services and cloud architecture * Active Top Secret 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 LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.org Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you!
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