Staff Data Engineer (CBP)

• 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.

• 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.

• 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