Remote Data Engineer: Cloud ETL & Data Quality

Peraton; United States; Remote; USD 66,000 - 106,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

401(k) with company match

PTO and paid holidays

EAP and parental leave

Job summary

Peraton is seeking a Junior Data Engineer to support ETL pipeline implementation, data quality validation, and database operations on a federal data migration program. This fully remote position requires US citizenship and the ability to obtain a Public Trust clearance.

You will collaborate with the Database Engineer SME to implement transformation logic, run ingestion workflows, document defects, and help ensure data quality and security compliance across the migration lifecycle.

Qualifications

• 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; must have the 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.

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

Skills

SQL

ETL development

Databricks/Delta Live Tables

Python/Scala

RBAC configuration

Data quality validation

Database performance testing

Education

Bachelor’s degree

Master’s degree

Tools

Databricks

Delta Live Tables

Job description

Peraton is seeking a Junior Data Engineer to support ETL pipeline implementation, data quality validation, and database operations on a federal data migration program. This fully remote position requires US citizenship and the ability to obtain a Public Trust clearance.

You will collaborate with the Database Engineer SME to implement transformation logic, run ingestion workflows, document defects, and help ensure data quality and security compliance across the migration lifecycle.