Senior Data Engineer – Databricks, Security & Governance

JobCubby; Northern (KY); Hybrid; USD 112,000 - 179,000; Full time

Job summary

Peraton is seeking a Database Engineer SME to lead cloud data platform design, security, and production migration for a federal data integration program. You will govern data handling under FIPS/NIST standards in a hybrid AWS environment and serve as the database authority for the project.

The role requires deep DB engineering experience, Databricks/Delta Lake expertise, and RBAC/data governance proficiency across federal cloud environments, with remote work options.

Qualifications

• Bachelor’s degree (or higher) with substantial database engineering experience.
• U.S. citizenship and ability to obtain a Public Trust clearance.
• Extensive experience with cloud data platforms and data lakehouse concepts.
• Hands-on Databricks or Delta Lake experience required.
• Proficiency in Python or Scala for ETL and automation.
• Knowledge of FIPS 140, NIST SP 800-171/800-172, and CUI governance.
• Experience with RBAC and data security in federal clouds.

Responsibilities

• Lead the design of the harmonized data schema for a cloud data lakehouse.
• Document field-level mappings and data lineage across source systems.
• Define and enforce metadata standards for ingested datasets.
• Build automated data quality validation within ETL pipelines.
• Develop the Metadata and Authoritative Source Registry documentation.
• Implement encryption per FIPS 140 and NIST SP controls in cloud environments.
• Ensure Federal CUI governance standards are applied to data stores.
• Monitor and optimize cloud data platform performance and reliability.
• Contribute to the Data Model Harmonization Report with schema decisions.
• Lead the production migration run-book components and cutover tasks.
• Document deployment outcomes and post-deployment validation in reports.
• Create final Operational Playbooks for database documentation.

Skills

Cloud data platforms

Database engineering

RBAC & data security

Data modeling

ETL pipelines

Python/Scala

Education

Bachelor's degree

Master's degree

Associates degree

High school diploma

Tools

Databricks

Delta Lake

Python

Scala

Job description

Responsibilities

Peraton's Department of the Interior (DOI), U.S. Fish and Wildlife Service (FWS), and NOAA's National Marine Fisheries Service (NMFS) have identified a critical gap in the federal government's ability to conduct comprehensive Endangered Species Act (ESA) research. While FWS operates an authoritative web‑based platform for managing data for terrestrial and freshwater species, it does not currently include NMFS marine and anadromous species data forcing agencies to rely on separate, manual processes. This program closes that gap by integrating marine and anadromous species data into the existing FWS platform, creating a single, unified experience for all ESA‑listed species.

Peraton is seeking a Database Engineer SME with expertise in cloud data platforms and federal data governance to lead the database design, security implementation, and production migration for a federal data integration program. You will serve as the database authority for the project, ensuring all data is handled in compliance with federal security and governance standards within a hybrid AWS cloud environment.

Work Location: Remote

Roles and Responsibilities

• Lead the design and implementation of the harmonized data schema for federal species data within a cloud data lakehouse, reconciling structural and semantic differences across multiple source systems
• Produce the field‑level source‑to‑target mapping document, documenting transformation logic, data type conversions, null handling, and data lineage
• Define and enforce metadata standards across all ingested datasets, ensuring consistency, traceability, and regulatory compliance
• Design and implement automated data quality validation frameworks within ETL pipelines
• Design and build the Metadata and Authoritative Source Registry, cataloging all data sources, ingestion pathways, update frequencies, and data stewardship contacts
• Implement FIPS 140‑compliant encryption and enforce NIST SP 800‑171/800‑172 database security controls and role‑based access controls
• Ensure Federal CUI Registry and data governance standards are applied to all data stored and processed within the platform
• Lead database performance monitoring and optimization within the cloud data platform
• Contribute to the Data Model Harmonization Report, providing database‑layer schema design decisions, field‑level mapping documentation, and metadata standard definitions for government review
• Lead the development of the production migration run‑book database components and execute database migration tasks during production cutover
• Contribute to the Production Deployment Report, documenting database migration outcomes, post‑deployment data validation results, and production monitoring findings
• Lead the Final Operational Playbooks database documentation

Qualifications

Basic Qualifications

• Bachelors degree and 12 years professional experience or a Masters degree and 10 years professional experience or an Associates degree and 14 years professional experience; or a high school diploma/equivalent and 16 years’ professional experience.
• U.S. Citizenship required; must have the ability to obtain and maintain a Public Trust clearance
• Extensive years of database engineering experience with expertise in cloud data platforms
• Hands‑on experience with Databricks, Delta Lake, or equivalent cloud data lakehouse platforms
• Proficiency in Python or Scala for ETL pipeline implementation, data quality framework development, and database automation scripts
• Knowledge of FIPS 140, NIST SP 800‑171/800‑172, and federal CUI data governance standards
• Experience designing and implementing RBAC and data security controls in federal cloud environments
• Experience leading database migrations and production cutover activities on federal programs
• Experience with version‑controlled code repositories and peer review enforcement
• Experience documenting post‑deployment monitoring results and production validation outcomes
• Strong data modeling, schema design, and metadata management skills

Preferred Qualifications

• Experience with AWS GovCloud or equivalent FedRAMP‑authorized cloud environments
• AWS Certified Database Specialty or AWS Certified Data Engineer certification
• Experience with Apache Spark for large‑scale distributed data processing within Databricks environments
• Familiarity with federal environmental or geospatial data systems
• Databricks Certified Data Engineer or equivalent certification
• Experience with ETL pipeline data quality framework design
• Active Public Trust Clearance

Peraton Overview

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 do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

Target Salary Range

$112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

EEO

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.