Peraton Logo

Peraton

Junior Data Engineer (ETL/GIS)

Posted 3 Days Ago
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.
The summary above was generated by AI
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 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
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. 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 StatementsThe 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. EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Similar Jobs

21 Minutes Ago
In-Office or Remote
San Francisco, CA, USA
153K-205K Annually
Senior level
153K-205K Annually
Senior level
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
Build and evaluate fraud models for onboarding, login, account changes, and money movement. Develop labels, features, sampling strategies, thresholds, and production monitoring to detect account takeover, scams, money mules, and identity fraud. Transition third-party risk models to in-house solutions, measure model performance and drift, collaborate with fraud, risk, operations, and compliance teams, and evaluate AI agent workflows for transaction review and fraud-ring analysis.
Top Skills: Ai AgentsBlockchain AnalyticsLightgbmPythonSQLXgboost
22 Minutes Ago
In-Office or Remote
San Francisco, CA, USA
133K-158K Annually
Senior level
133K-158K Annually
Senior level
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
Senior Data Analyst responsible for building financial reporting data models, business logic, reporting layers, and automated solutions supporting regulatory compliance. Partners with product, engineering, accounting, treasury, and finance teams to investigate data issues, improve financial system transparency, resolve reporting problems, and communicate findings to technical and non-technical audiences.
Top Skills: PythonRSQLSuperset
22 Minutes Ago
In-Office or Remote
San Francisco, CA, USA
200K-263K Annually
Senior level
200K-263K Annually
Senior level
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
Provides legal leadership for M&A, strategic transactions, venture investments, and financial partnerships with banks and financial institutions. Independently manages deals from structuring and diligence through negotiation, signing, closing, and integration. Drafts and negotiates transaction and financial services agreements, coordinates cross-functional stakeholders, develops legal playbooks, and leads AI-enabled workflow improvements while protecting confidentiality, privilege, and legal judgment.
Top Skills: BlockchainDigital AssetsGenerative AiPayments TechnologyStablecoins

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account