Staff Data Engineer, CBP
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Job Description
Staff Data Engineer building scalable data pipelines, models, and ontology for CBP operations. Supporting LMI’s mission-ready digital solutions in Google Cloud.
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
Requirements:
- 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 and BigQuery
- 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 preferred
- DHS Public Trust clearance preferred
- Experience with Kafka or other distributed data-processing technologies preferred
- Experience with cloud platforms, DevSecOps, and infrastructure as code preferred
- Experience building data pipelines/data models for an AI system preferred
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