Data Engineer - AWS Pipelines for Federal Systems

540.co LLC

United States

À distance

USD 95 000 - 135 000

Plein temps

Il y a 2 jours
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Avantages offerts par ce poste

Flexible PTO
Health, dental, vision insurance
401k with employer match
Life insurance
Disability coverage
Professional development
Referral bonuses
Social events

Résumé du poste

540.co LLC seeks a data engineer to design, build, and maintain robust data pipelines for modernizing U.S. Army financial systems on AWS. You will develop Python workflows to ingest, transform, validate, and deliver structured and semi-structured data, collaborating with engineers to translate requirements into secure software solutions.

Ideal candidates have 2+ years of data engineering experience with Python, ETL/ELT, and AWS services (Glue, Lambda, S3, CloudWatch). U.S.

Qualifications

  • 2+ years in data engineering with Python, ETL/ELT processes, and AWS services like Glue, Lambda, S3, and CloudWatch.
  • Experience with APIs, file formats, large datasets, automated testing, and GitLab in an Agile environment.
  • Must be a U.S. Citizen able to obtain a DoD Secret clearance and relevant certifications within 30 days.
  • Flexible PTO plus all federal holidays, and comprehensive health, dental, and vision insurance.
  • 401k with employer match, company-sponsored life insurance, and disability coverage.

Responsabilités

  • Design, build, and maintain reliable data pipelines throughout the SDLC, supporting modernization of legacy U.S. Army financial systems on AWS.
  • Develop Python-based workflows to ingest, transform, validate, and deliver structured and semi-structured data.
  • Collaborate with engineers and stakeholders to translate requirements into working software with secure data practices.

Connaissances

Python
ETL/ELT
AWS services
APIs
GitLab
Agile

Outils

AWS Glue
AWS Lambda
Amazon S3
CloudWatch

Description du poste

540.co LLC seeks a data engineer to design, build, and maintain robust data pipelines for modernizing U.S. Army financial systems on AWS. You will develop Python workflows to ingest, transform, validate, and deliver structured and semi-structured data, collaborating with engineers to translate requirements into secure software solutions.

Ideal candidates have 2+ years of data engineering experience with Python, ETL/ELT, and AWS services (Glue, Lambda, S3, CloudWatch). U.S.

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