Staff Data Engineer (CBP) at Careers Lmi.Icims.Com, Remote
Staff Data Engineer (CBP) at Careers Lmi.Icims.Com, remote. Est. up to $160k. Apply with swipeandhired.
Staff Data Engineer (CBP)
Job Locations
US-Remote
ID
2026-14836
# of Openings
1
Overview
LMI is seeking a Staff Data Engineer to build authoritative data products supporting Customs and Border Patrol (CBP) acquisition and program operations. This 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 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 energy 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
- 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.
Qualifications
Minimum Qualifications
- Bachelor’s degree in computer science, engineering, information systems, data science, or a related field, or equivalent practical experience.
- T wo or more years of experience building production data systems. 4 years or more preferred
- Strong proficiency with Python, SQL, and modern data-engineering patterns.
- Experience designing data pipelines and products on enterprise data platform s (preferably Google Cloud & Big Query).
- Experience with data modeling, ontology, data quality, and lineage.
- Strong software-engineering fundamentals, including testing, source control, CI/CD, and monitoring.
Preferred Qualifications
- Experience supporting a Department of Homeland Security customer.
- DHS Public Trust clearanc e.
- Experience with Kafka or other distributed data-processing technologies.
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