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Junior Data Engineer (ETL/Data Quality)

Location not identified

Pay
$66,000–106,000/yearAnnual period assumed — pay source
Target Salary Range $66,000 - $106,000. 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. Benefits Statement Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
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Work setting
Remote — work setting source
Responsibilities Peraton is seeking a Junior Data Engineer to support ETL pipeline implementation, data quality validation, and database operations on a federal data migration program. You will work closely with the Database Engineer SME to implement transformation logic, execute ingestion workflows, and support production migration activities. 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.
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 Work Responsibilities:
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
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What you’ll work on

Full posting
  • You will work closely with the Database Engineer SME to implement transformation logic, execute ingestion workflows, and support production migration activities.

  • Support the Database Engineer SME in implementing ETL pipeline transformation logic, data quality checks, and schema validation rules

From the employer’s posting
Responsibilities Peraton is seeking a Junior Data Engineer to support ETL pipeline implementation, data quality validation, and database operations on a federal data migration program. You will work closely with the Database Engineer SME to implement transformation logic, execute ingestion workflows, and support production migration activities. 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.
Day to Day Work Responsibilities: Support the Database Engineer SME in implementing ETL pipeline transformation logic, data quality checks, and schema validation rules Execute prototype data ingestion workflows, running representative data through ETL pipelines and evaluating results against quality criteria

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree and 2 years of professional experience, or a Master’s degree and 0 years of professional experience, or a high school diploma and 6 years of professional experience.
  • 1+ years of database engineering experience with hands-on ETL development experience.
  • Experience with Databricks, Delta Live Tables, or equivalent cloud ETL frameworks.
  • Proficiency in SQL and at least one scripting language (Python, Scala, or equivalent).
  • Experience with data quality validation, RBAC configuration, and database performance testing.
  • Experience documenting prototype ingestion results and defect remediation findings.

Preferred experience

  • Experience with AWS GovCloud or equivalent FedRAMP-authorized cloud environments.
  • Familiarity with NIST SP 800-171 database security controls.
  • Experience supporting federal data migration programs.
Qualification wording
Bachelor’s degree and 2 years of professional experience, or a Master’s degree and 0 years of professional experience, or a high school diploma and 6 years of professional experience.
1+ years of database engineering experience with hands-on ETL development experience.
Experience with Databricks, Delta Live Tables, or equivalent cloud ETL frameworks.
Proficiency in SQL and at least one scripting language (Python, Scala, or equivalent).
Experience with data quality validation, RBAC configuration, and database performance testing.
Experience documenting prototype ingestion results and defect remediation findings.
Experience with AWS GovCloud or equivalent FedRAMP-authorized cloud environments.
Familiarity with NIST SP 800-171 database security controls.
Experience supporting federal data migration programs.
Education & alternatives
Basic Qualifications: - Bachelor’s degree and 2 years of professional experience, or a Master’s degree and 0 years of professional experience, or a high school diploma and 6 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.

Tools in this posting

  • Python
  • Scala
  • SQL
  • AWS
  • Databricks
  • Delta Lake
Source — Tool mentions in context
- Experience with Databricks, Delta Live Tables, or equivalent cloud ETL frameworks. - Proficiency in SQL and at least one scripting language (Python, Scala, or equivalent). - Experience with data quality validation, RBAC configuration, and database performance testing.
Preferred Qualifications: - Experience with AWS GovCloud or equivalent FedRAMP-authorized cloud environments. - AWS Certified Cloud Practitioner or AWS Certified Database Specialty certification.
- Experience with AWS GovCloud or equivalent FedRAMP-authorized cloud environments. - AWS Certified Cloud Practitioner or AWS Certified Database Specialty certification. - Familiarity with NIST SP 800-171 database security controls.
- 1+ years of database engineering experience with hands-on ETL development experience. - Experience with Databricks, Delta Live Tables, or equivalent cloud ETL frameworks. - Proficiency in SQL and at least one scripting language (Python, Scala, or equivalent).
- Experience supporting federal data migration programs. - Databricks Associate certification or equivalent. Target Salary Range

Posting record

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Actively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.

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First seen by us
Oct 23, 2026 · 8 days ago
Recorded sightings
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Last seen by us
Oct 29, 2026

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Job description

View original posting ↗

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.

Responsibilities

 

Peraton is seeking a Junior Data Engineer to support ETL pipeline implementation, data quality validation, and database operations on a federal data migration program. You will work closely with the Database Engineer SME to implement transformation logic, execute ingestion workflows, and support production migration activities. 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 Work Responsibilities: 

  • Support the Database Engineer SME in implementing ETL pipeline transformation logic, data quality checks, and schema validation rules
  • Execute prototype data ingestion workflows, running representative data through ETL pipelines and evaluating results against quality criteria
  • Document data quality defects in the Defect and Risk Log, including severity classification, root cause analysis, and remediation recommendations
  • Support the Prototype Ingest Results Report by documenting database-layer ingestion outcomes, data quality defects, severity classifications, and remediation recommendations for each prototype ingestion cycle
  • Populate and maintain the Metadata and Authoritative Source Registry, researching and documenting data source attributes, refresh cadences, and data stewardship contacts
  • Support database performance testing prior to production cutover, executing query performance benchmarks and identifying optimization opportunities
  • Implement and validate RBAC configurations on all database objects
  • Support interoperability testing by providing test datasets, executing database-layer test cases, and documenting results
  • Maintain all database scripts and pipeline code in the version-controlled repository
  • Support post-migration data validation during production cutover

Qualifications

Basic Qualifications:  

  • Bachelor’s degree and 2 years of professional experience, or a Master’s degree and 0 years of professional experience, or a high school diploma and 6 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.

  • 1+ years of database engineering experience with hands-on ETL development experience.
  • Experience with Databricks, Delta Live Tables, or equivalent cloud ETL frameworks.
  • Proficiency in SQL and at least one scripting language (Python, Scala, or equivalent).
  • Experience with data quality validation, RBAC configuration, and database performance testing.
  • Experience documenting prototype ingestion results and defect remediation findings.
  • Familiarity with FIPS 140 encryption requirements and NIST SP 800-171 database security controls.
  • Familiarity with federal data governance and security standards.

 Preferred Qualifications:

  • Experience with AWS GovCloud or equivalent FedRAMP-authorized cloud environments.
  • AWS Certified Cloud Practitioner or AWS Certified Database Specialty certification.
  • Familiarity with NIST SP 800-171 database security controls.
  • Experience supporting federal data migration programs.
  • Databricks Associate certification or equivalent.

Target Salary Range

$66,000 - $106,000. 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.

Benefits Statement

Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.

Application Statements

The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate’s own.

EEO

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
Source details

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Pay
Target Salary Range $66,000 - $106,000. 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. Benefits Statement Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
Location & working pattern

Location not supplied.

Responsibilities Peraton is seeking a Junior Data Engineer to support ETL pipeline implementation, data quality validation, and database operations on a federal data migration program. You will work closely with the Database Engineer SME to implement transformation logic, execute ingestion workflows, and support production migration activities. 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 Work Responsibilities:
Work authorization
- Bachelor’s degree and 2 years of professional experience, or a Master’s degree and 0 years of professional experience, or a high school diploma and 6 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. - 1+ years of database engineering experience with hands-on ETL development experience.

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