Junior Data Engineer – ETL, Data Quality
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Job Description
Junior Data Engineer supporting Peraton’s federal data migration program through ETL pipelines, database operations, and data quality validation. Maintaining ingestion workflows, security controls, and production migration readiness.
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, researching and documenting data source attributes, refresh cadences, and data stewardship contacts
- Support database performance testing prior to production cutover, executing query performance benchmarks and identifying optimization opportunities
- Implement and validate RBAC configurations on all database objects
- Support interoperability testing by providing test datasets, executing database-layer test cases, and documenting results
- Maintain all database scripts and pipeline code in the version-controlled repository
- Support post-migration data validation during production cutover
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 required
- Ability to obtain and maintain a Public Trust clearance
- All work must be performed within the United States
- 1+ years 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 (Python, Scala, or equivalent)
- 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
- Preferred: Experience with AWS GovCloud or equivalent FedRAMP-authorized cloud environments
- Preferred: AWS Certified Cloud Practitioner or AWS Certified Database Specialty certification
- Preferred: Familiarity with NIST SP 800-171 database security controls
- Preferred: Experience supporting federal data migration programs
- Preferred: Databricks Associate certification or equivalent
Benefits:
- Potential overtime
- Shift differential
- Discretionary bonus
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