FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable data pipelines and products, with a strong focus on data quality, security, and maintainability. Proficient in Python, SQL, and modern data-engineering patterns, with experience in cloud platforms and data modeling.
Highest-signal resume keywords
Data Pipeline DevelopmentPython ProficiencySQL ProficiencyData ModelingGoogle Cloud Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DesignData ModelingData QualityData LineagePythonSQLKafkaCI/CDDevSecOpsInfrastructure as Code
Soft Skills
MentoringCollaborationProblem Solving
Tools & Technologies
Google CloudBigQueryKafkaEnterprise Data Platforms
Certifications & Qualifications
DHS Public Trust Clearance
Industry Keywords
Data EngineeringData ProductsData IntegrationData TransformationDepartment of Homeland Security
Tech Stack
Tools & technologiesBigQueryCloudKafkaPythonSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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