Junior Data Engineer (ETL/GIS)

Peraton is hiring a Junior Data Engineer to support data engineering for a federal data migration program integrating marine and anadromous species data into an existing federal platform. The role develops and deploys ETL pipelines, runs data ingestion workflows, and supports spatial data validation in a cloud data lakehouse environment.

Responsibilities:

• Develop, test, and deploy ETL pipelines using Databricks Delta Live Tables within a cloud data lakehouse staging environment
• Execute range data aggregation and normalization activities, collecting data from multiple authoritative source systems and normalizing spatial formats and coordinate reference systems
• Implement source-to-target transformation logic within ETL pipelines, applying field-level mapping rules, data type conversions, and null-handling logic
• Execute prototype data ingestion workflows using representative taxa, evaluating results against completeness, accuracy, consistency, and spatial integrity quality criteria
• Document prototype ingestion results, defects, and remediation actions
• Produce the Prototype Ingest Results Report, documenting ingestion outcomes, data quality findings, defect severity classifications, and remediation actions for each representative taxa batch
• Log all data quality defects with severity classifications and remediation tracking
• Maintain all ETL pipeline code in a version-controlled repository with mandatory peer review documentation
• Support spatial data validation activities in coordination with GIS Engineers
• Support interoperability testing by providing test datasets, pipeline execution support, and data validation assistance

Requirements:

• Bachelor's degree and 0 years of professional experience, or an Associate's degree and 2 years of professional experience, or a high school diploma/equivalent and 4 years of professional experience
• U.S. Citizenship required; must have the ability to obtain and maintain a Public Trust clearance
• Hands-on experience with Databricks and Delta Live Tables or equivalent cloud ETL frameworks
• Experience with data quality validation, source-to-target mapping, and data transformation
• Experience with data modeling or schema design documentation
• Experience documenting test/ingest results and logging defects with severity classifications
• Proficiency in Python or Scala for ETL pipeline development
• Proficiency in SQL for querying, validating, and transforming data within the cloud data lakehouse environment
• Familiarity with geospatial data formats and coordinate reference systems
• Experience with AWS GovCloud or equivalent FedRAMP-authorized cloud environments
• Familiarity with GIS tools such as ArcGIS or QGIS
• Experience with federal data governance and metadata standards
• Databricks Associate certification or equivalent