Data Catalog Engineer
CAtegory:
Clearance:
Location:
Telecommute:
About Peraton
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we’re keeping people around the world safe and secure.
Program Overview
About The Role
Peraton is seeking a Data Catalog Engineer to support U.S. Customs and Border Protection (CBP) analytics and intelligence support programs.
In this role, you will design, implement, and maintain enterprise data catalog and metadata management capabilities that enable secure data discovery, lineage tracking, and governance across mission and analytics platforms. The ideal candidate brings a combination of data engineering expertise, knowledge of metadata management tools, and experience with modern data architectures to enhance data visibility, accessibility, and governance across CBP analytics environments.
Support may be provided across multiple mission locations:
- Ashburn, VA
- Sterling, VA
- Washington, DC
Key Responsibilities
- Design, deploy, and maintain enterprise data catalog and metadata management platforms (e.g., Collibra, Alation, DataHub, Amundsen, or cloud-native catalog services).
- Integrate and manage metadata from databases, data lakes, ETL pipelines, analytics platforms, and machine learning systems.
- Develop automated metadata ingestion pipelines using APIs, connectors, and scripting to ensure catalog accuracy and completeness.
- Implement data lineage tracking across datasets, data pipelines, and downstream analytics applications.
- Manage catalog taxonomies, business glossaries, schema definitions, and metadata policies to support enterprise data governance.
- Collaborate with data engineering, analytics, security, and governance teams to onboard new data assets and ensure proper metadata tagging and classification.
- Improve data discovery and usability through curated metadata, standardized documentation, and search enhancements.
- Monitor metadata quality, ingestion pipelines, and lineage coverage to ensure catalog reliability and performance.
- Support data governance and compliance initiatives, including data classification, access controls, and audit readiness.
- Develop documentation, standards, and best practices to support enterprise metadata management and catalog adoption.
**Position is contingent upon contract award**
Qualifications
Required Qualifications
- 5 years with BS/BA; 3 years with MS/MA. 9 years with HS diploma/equivalent can be considered in lieu of a degree.
- 2+ years of experience in data engineering, metadata management, or data governance platforms.
- Hands-on experience with enterprise data catalog or metadata management tools.
- Strong understanding of metadata types (technical, business, operational) and data lineage concepts.
- Experience with Python, SQL, or scripting for metadata ingestion, automation, or integration.
- Knowledge of modern data architectures, including data lakes, data warehouses, and ETL/ELT pipelines.
- Ability to collaborate with technical and non-technical stakeholders to support data governance initiatives.
Clearance Requirements
- Ability to obtain and maintain CBP (BI) suitability.
- U.S. Citizenship required
Preferred Qualifications
- Bachelors degree or Masters degree.
- Experience with Collibra, Alation, DataHub, Amundsen, or similar catalog platforms.
- Familiarity with cloud data ecosystems such as AWS Glue Data Catalog, Azure Purview, or Google Data Catalog.
- Experience integrating metadata with workflow orchestration tools (e.g., Airflow, Prefect, Dagster).
- Knowledge of data privacy, classification, and compliance frameworks.
- Background supporting federal, intelligence, or regulated data environments.
SCA / Union / Intern Rate or Range
Details
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
