Staff Data Engineer, CBP

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the architecture and execution of scalable data pipelines and data products.

• Integrate and transform data from various CBP and enterprise sources.

• Create data models and ontology that facilitate applications, reporting, and analysis.

• Design for data quality, lineage, security, observability, and long-term sustainability.

• Set engineering standards for testing, source control, deployment, and operations.

• Collaborate with software engineers, product designers, and customer stakeholders.

• Evaluate technical designs, mentor engineers, and tackle complex data challenges.

⛳️ Requirements

• A Bachelor’s degree in computer science, engineering, information systems, data science, or a related discipline, or equivalent hands-on experience.

• A minimum of two years’ experience in developing production data systems; four years or more is preferred.

• Strong expertise in Python, SQL, and contemporary data-engineering practices.

• Experience in designing data pipelines and products on enterprise data platforms, ideally Google Cloud and BigQuery.

• Familiarity with data modeling, ontology, data quality, and lineage.

• Solid foundation in software engineering principles, including testing, source control, CI/CD, and monitoring.

• Experience working with a Department of Homeland Security customer is preferred.

• DHS Public Trust clearance is preferred.

• Experience with Kafka or other distributed data-processing technologies is preferred.

• Familiarity with cloud platforms, DevSecOps, and infrastructure as code is preferred.

• Experience in building data pipelines/data models for AI systems is preferred.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work options.

• Opportunities for professional development and continuous learning.

• Supportive and inclusive work environment.