Remote Data Engineer: ETL & Geospatial Pipelines

Peraton; Idaho; Remote; USD 51,000 - 82,000; Full time

Job summary

Peraton is seeking a Junior Data Engineer to design, test, and deploy ETL pipelines in a cloud data lakehouse environment. The role focuses on data ingestion, transformation, and validation within a federal data migration program, with a fully remote work setup in the United States.

You will collaborate with GIS engineers and data scientists to ensure data quality, spatial integrity, and interoperable datasets across multiple authoritative sources. U.S.

Qualifications

• Bachelor’s degree or 0 years of experience, or an Associate’s degree with 2 years of experience, or high school diploma with 4 years of experience.
• U.S. Citizenship and ability to obtain Public Trust clearance; work within the United States.

Responsibilities

• Develop, test, and deploy ETL pipelines using Databricks Delta Live Tables in a cloud lakehouse environment.
• Perform range data aggregation, normalization, and spatial data validation across source systems.
• Implement source-to-target transformation logic, mappings, and data type conversions.
• Document ingestion results, defects, and remediation actions; maintain versioned ETL code with peer reviews.
• Support GIS data validation and interoperability testing with test datasets and validation.
• Produce reports detailing ingestion outcomes, data quality findings, and remediation actions.

Skills

Python

SQL

ETL development

Data quality

Geospatial data

Education

Bachelor’s degree

Associate’s degree

Tools

Databricks

Delta Live Tables

AWS GovCloud

ArcGIS/QGIS

Job description

Peraton is seeking a Junior Data Engineer to design, test, and deploy ETL pipelines in a cloud data lakehouse environment. The role focuses on data ingestion, transformation, and validation within a federal data migration program, with a fully remote work setup in the United States.

You will collaborate with GIS engineers and data scientists to ensure data quality, spatial integrity, and interoperable datasets across multiple authoritative sources. U.S.