Remote Junior Data Engineer — ETL & GIS

Peraton; Reston (VA); A distancia; USD 51.000 - 82.000; Jornada completa

Descripción de la vacante

Peraton is seeking a Junior Data Engineer with ETL and geospatial data experience to support a federal data migration program. The role is fully remote within the United States, focusing on building and validating ETL pipelines in a cloud data lakehouse environment.

You will work with Databricks Delta Live Tables, perform data quality validation, and collaborate with GIS Engineers to ensure spatial integrity. U.S. citizenship and ability to obtain a Public Trust clearance are required.

Formación

• Bachelor's degree or higher; 0+ years of professional experience accepted per the listing.
• 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

Responsabilidades

• 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.

Conocimientos

Python

SQL

Geospatial data formats

Data quality validation

Source-to-target mapping

Data modeling

Educación

Bachelor's degree or higher

Herramientas

Databricks

Descripción del empleo

Peraton is seeking a Junior Data Engineer with ETL and geospatial data experience to support a federal data migration program. The role is fully remote within the United States, focusing on building and validating ETL pipelines in a cloud data lakehouse environment.

You will work with Databricks Delta Live Tables, perform data quality validation, and collaborate with GIS Engineers to ensure spatial integrity. U.S. citizenship and ability to obtain a Public Trust clearance are required.