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Peraton

Junior Data Engineer (ETL/GIS)

Posted Yesterday
Remote
Hiring Remotely in United States
51K-82K Annually
Junior
Remote
Hiring Remotely in United States
51K-82K Annually
Junior
Develop and deploy Databricks Delta Live Tables ETL pipelines in a cloud lakehouse environment. Aggregate, normalize, transform, and validate geospatial data from authoritative sources. Document ingestion results, data quality defects, remediation actions, and test outcomes. Maintain version-controlled code with peer reviews, support GIS-based spatial validation, and assist with interoperability testing. The role supports federal endangered-species data integration and requires proficiency in Python or Scala, SQL, data quality validation, schema documentation, and geospatial data concepts.
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Responsibilities

Peraton is seeking a Junior Data Engineer with ETL development and geospatial data experience to support the data engineering workstream on a federal data migration program. You will develop and deploy ETL pipelines, execute data ingestion workflows, and support spatial data validation activities within a cloud data Lakehouse environment. This is a fully remote position.


The Department of the Interior (DOI), U.S. Fish and Wildlife Service (FWS), and NOAA's National Marine Fisheries Service (NMFS) have identified a critical gap in the federal government's ability to conduct comprehensive Endangered Species Act (ESA) research. While FWS operates an authoritative web-based platform for managing data for terrestrial and freshwater species, it does not currently include NMFS marine and anadromous species data forcing agencies to rely on separate, manual processes. This program closes that gap by integrating marine and anadromous species data into the existing FWS platform, creating a single, unified experience for all ESA-listed species.


Work Location: Remote


Day to Day 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.
Qualifications

Basic Qualifications:

  • 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; all work must be performed within the United States.

  • 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

Preferred Qualifications:

  • 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
Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

Target Salary Range$51,000 - $82,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Peraton Colorado Springs, Colorado, USA Office

Colorado Springs, United States

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