Junior Data Engineer, ETL, GIS

Peraton

. Develop, test, and deploy ETL pipelines using Databricks Delta Live Tables within a cloud data lakehouse staging environment .

Posted 10/22/2026full-timeRemote • United StatesJunior💰 $51,000 - $82,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying ETL pipelines using Databricks Delta Live Tables within cloud environments, with a strong focus on data quality validation and spatial data handling. Proficient in Python, SQL, and data transformation processes, ensuring accuracy and consistency in data ingestion workflows.

Highest-signal resume keywords

Databricks Delta Live TablesETL Pipeline DevelopmentData Quality ValidationPython or Scala ProficiencySQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL Pipeline DevelopmentData TransformationData Quality ValidationSource-to-Target MappingData ModelingSchema Design DocumentationData AggregationNormalization ActivitiesSpatial Data HandlingLogging Defects

Tools & Technologies

DatabricksAWS GovCloudArcGISQGIS

Certifications & Qualifications

Databricks Associate Certification

Industry Keywords

Cloud Data LakehouseGeospatial Data FormatsCoordinate Reference SystemsFederal Data GovernanceMetadata Standards

Tech Stack

Tools & technologies

AWSCloudETLPythonScalaSQL

About the role

Key responsibilities & impact

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 from multiple authoritative source systems
Normalize spatial formats and coordinate reference systems
Implement source-to-target transformation logic, including field-level mapping rules, data type conversions, and null-handling logic
Execute prototype data ingestion workflows using representative taxa
Evaluate ingestion results against completeness, accuracy, consistency, and spatial integrity criteria
Document prototype ingestion results, defects, and remediation actions
Produce the Prototype Ingest Results Report
Log data quality defects with severity classifications and remediation tracking
Maintain ETL pipeline code in a version-controlled repository with mandatory peer review documentation
Support spatial data validation in coordination with GIS Engineers
Support interoperability testing with test datasets, pipeline execution, and data validation assistance

Requirements

What you’ll need

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
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: Experience with AWS GovCloud or equivalent FedRAMP-authorized cloud environments
Preferred: Familiarity with GIS tools such as ArcGIS or QGIS
Preferred: Experience with federal data governance and metadata standards
Preferred: Databricks Associate certification or equivalent

Benefits

Comp & perks

Overtime eligibility may apply
Shift differential may apply
Discretionary bonus may apply