Junior Data Engineer (ETL/Data Quality)

Peraton • ,

1d • $66,000 - $106,000 • Remote

About The Position

Peraton is seeking a Junior Data Engineer to support ETL pipeline implementation, data quality validation, and database operations on a federal data migration program. The role works closely with the Database Engineer SME to implement transformation logic, execute ingestion workflows, and support production migration activities. The position is fully remote, and all work must be performed within the United States.

The program integrates marine and anadromous species data from NOAA’s National Marine Fisheries Service into the U.S. Fish and Wildlife Service’s existing platform for managing terrestrial and freshwater species data. The goal is to provide a unified experience for all Endangered Species Act-listed species.

Requirements

• Bachelor’s degree and 2 years of professional experience, or a Master’s degree and 0 years of professional experience, or a high school diploma and 6 years of professional experience.
• U.S. citizenship; ability to obtain and maintain a Public Trust clearance; and ability to perform all work within the United States.
• At least 1 year of database engineering experience with hands-on ETL development experience.
• Experience with Databricks, Delta Live Tables, or equivalent cloud ETL frameworks.
• Proficiency in SQL and at least one scripting language, such as Python or Scala.
• Experience with data quality validation, RBAC configuration, and database performance testing.
• Experience documenting prototype ingestion results and defect remediation findings.
• Familiarity with FIPS 140 encryption requirements and NIST SP 800-171 database security controls.
• Familiarity with federal data governance and security standards.

Nice To Haves

• Experience with AWS GovCloud or an equivalent FedRAMP-authorized cloud environment.
• AWS Certified Cloud Practitioner or AWS Certified Database Specialty certification.
• Familiarity with NIST SP 800-171 database security controls.
• Experience supporting federal data migration programs.
• Databricks Associate certification or equivalent.

Responsibilities

• Support the Database Engineer SME in implementing ETL pipeline transformation logic, data quality checks, and schema validation rules.
• Execute prototype data ingestion workflows, running representative data through ETL pipelines and evaluating results against quality criteria.
• Document data quality defects in the Defect and Risk Log, including severity classification, root cause analysis, and remediation recommendations.
• Support the Prototype Ingest Results Report by documenting database-layer ingestion outcomes, data quality defects, severity classifications, and remediation recommendations for each prototype ingestion cycle.
• Populate and maintain the Metadata and Authoritative Source Registry by researching and documenting data source attributes, refresh cadences, and data stewardship contacts.
• Support database performance testing before production cutover by executing query performance benchmarks and identifying optimization opportunities.
• Implement and validate RBAC configurations on database objects.
• Support interoperability testing by providing test datasets, executing database-layer test cases, and documenting results.
• Maintain database scripts and pipeline code in the version-controlled repository.
• Support post-migration data validation during production cutover.

Benefits

• Employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. The posting does not specify these as guaranteed benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level