Staff Data Engineer (CBP)
About The Position
LMI is seeking a Staff Data Engineer to build authoritative data products supporting Customs and Border Patrol (CBP) acquisition and program operations. The engineer will own data pipelines, models, and ontology within the LIGER deployment to CBP’s Google Cloud environment. This is a senior individual-contributor role for an engineer who can make architectural decisions, build production systems, and raise the technical standard of the team. LMI is a digital solutions provider focused on accelerating government impact through innovation and speed. The company invests in technology and prototypes ahead of need and brings commercial-grade platforms and mission-ready AI to federal agencies. LMI serves the defense, space, healthcare, and energy sectors and is headquartered in Tysons, Virginia.
Requirements
- Bachelor’s degree in computer science, engineering, information systems, data science, or a related field, or equivalent practical experience.
- At least two years of experience building production data systems.
- Strong proficiency with Python, SQL, and modern data-engineering patterns.
- Experience designing data pipelines and products on enterprise data platforms; Google Cloud and BigQuery are preferred.
- Experience with data modeling, ontology, data quality, and lineage.
- Strong software-engineering fundamentals, including testing, source control, CI/CD, and monitoring.
Nice To Haves
- Four or more years of experience building production data systems.
- Experience supporting a Department of Homeland Security customer.
- DHS Public Trust clearance.
- Experience with Kafka or other distributed data-processing technologies.
- Experience with cloud platforms, DevSecOps, and infrastructure as code.
- Experience building data pipelines or data models for an AI system.
Responsibilities
- Own the architecture and implementation of scalable data pipelines and data products.
- Integrate and transform data from multiple CBP and enterprise sources.
- Develop data models and ontology that support applications, reporting, and analysis.
- Design for data quality, lineage, security, observability, and long-term maintainability.
- Establish engineering standards for testing, source control, deployment, and operations.
- Partner with software engineers, product designers, and customer stakeholders.
- Review technical designs, mentor engineers, and resolve complex data challenges.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
