Posted 10 Nov 2026Still open at our check on 14 Nov 2026
Staff Data Engineer (CBP)
Logistics Management InstituteRemote, United States$120k–$180k
At a glance
- Role and level
- Data engineering · Staff
- Where you work
- Remote from United States
- Pay
- $120k–$180k, as stated
Skills asked
- Architecture, core of the job
- Python, core of the job
- SQL, core of the job
- Google cloud platform, core of the job
- Data modeling
- Knowledge representation
- Data quality
- Observability
- CI/CD
- Infrastructure as code
- Devsecops
The job, as Logistics Management Institute posted it
The full text from the original posting, checked 14 Nov 2026.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.
- Two 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 platforms (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 clearance.
- Experience with Kafka or other distributed data-processing technologies.
- Experience with cloud platforms, DevSecOps, and infrastructure as code.
- Experience building data pipelines/data models for an AI system
Target salary range: $120,000 - $180,000
Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
Job Locations
US-Remote
Originally posted on Himalayas