Data Engineer

540
United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Clean Code Principles Application Programming Interfaces (APIs) Agile Methodology Airflow Amazon Web Services Amazon S3 Automation of Tests Big Data Command-Line Interface Code Review CompTIA Security+ Data Architecture
+45 more
Data Validation Information Engineering Data Governance Data Integration Data Integrity Extract Transform Load (ETL) Data Transformation Data Security Data Structures Data Systems Software Debugging DevOps Distributed Computing Environment Document-Oriented Databases JSON Python (Programming Language) Meta-Data Management Performance Tuning Cloud Services DataOps Simple Data Format Software Engineering Data Logging Data Processing Apache Spark Database Performance AWS Lambda Indexer Gitlab Cloudformation SC Clearance Pytest Semi-structured Data Infrastructure Automation Frameworks Information Technology Data Lineage Atlassian Tools AWS Glue Data Analytics Apache Kafka Functional Programming Cloudwatch Terraform Software Version Control Data Pipelines

Job description

In this role, you’ll design, build, and maintain scalable data pipelines and cloud-native data solutions, with a focus on data reliability, security, governance, and performance. You’ll work with large, complex datasets, contribute to technical design decisions, and collaborate across engineering teams to transform business and mission requirements into working software., * Design, build, maintain, and troubleshoot reliable data pipelines throughout the software development lifecycle, supporting the modernization of legacy U.S. Army financial systems and migration to AWS cloud environments

  • Develop Python-based workflows to ingest, transform, validate, and deliver structured and semi-structured data
  • Build and support cloud-native data solutions using AWS services such as Glue, Lambda, S3, and CloudWatch
  • Integrate data from multiple systems and sources, including APIs and various file formats, while supporting data accuracy, consistency, and reliability
  • Work with large datasets, identify performance bottlenecks, and help improve pipeline efficiency and scalability
  • Participate in technical design discussions and contribute to decisions around data integration, storage, performance, and scalability
  • Implement automated testing, logging, monitoring, and error handling to support data quality and reliable system performance
  • Write clean, reusable, and maintainable code while following established software engineering and DataOps practices
  • Collaborate with engineers, architects, and stakeholders to translate business and technical requirements into working software
  • Support secure data management practices, including access controls, data governance, and compliance with DoW requirements
  • Participate in code reviews and Agile development activities, sharing ideas and contributing to engineering improvements
  • Document data transformations, pipeline processes, and technical decisions to support maintainability and downstream users
  • Identify opportunities to improve existing workflows, reduce manual processes, and strengthen the reliability of the Army’s data ecosystem

Requirements

Citizenship & Clearance Requirement: per client requirements, must be a U.S. Citizen with the ability to obtain a DoW Secret clearance Education Requirement: Bachelor’s Degree in Computer Science or related engineering field (preferred) 540 Internal Thrive Level: Data Engineer II or III, * 2+ years of related experience in data engineering, software development, data integration, or a closely related field

  • Experience developing Python-based data transformations, scripts, or workflow automation
  • Hands-on experience building, maintaining, or troubleshooting data pipelines and ETL/ELT processes
  • Experience consuming data from APIs and working with file formats such as X12, JSON, flat files, or fixed-width files
  • Experience working with AWS cloud services, particularly AWS Glue, AWS Lambda, Amazon S3, and CloudWatch Logs
  • Familiarity with working with large datasets, including identifying and troubleshooting data processing or performance issues
  • Understanding of data structures, data modeling concepts, and common approaches to organizing and transforming data
  • Experience writing and maintaining automated tests using Pytest or similar testing frameworks
  • Familiarity with data validation, error handling, logging, and debugging practices
  • Understanding of data security, access controls, and data quality principles
  • Experience using GitLab for version control and collaborative development
  • Comfortable working through the terminal or command-line interface
  • Experience using Jira and Confluence in an Agile development environment
  • Ability to interpret ambiguous requirements, file specifications, and JSON structures to develop functional data solutions
  • Strong problem-solving skills and ability to collaborate effectively with technical and non-technical stakeholders
  • Must currently possess or have the ability to obtain an AWS Cloud Practitioner certification (or higher) within 30 days of hire
  • Must currently possess or have the ability to obtain a CompTIA Security+ certification (or higher) within 30 days of hire

NICE TO HAVE

  • Experience working with DoW systems, data, or other regulated environments
  • Familiarity with X12/MILS processing
  • Experience with Apache Spark, Kafka, or other distributed data processing frameworks
  • Knowledge of data orchestration tools such as Apache Airflow or AWS Step Functions
  • Exposure to Infrastructure-as-Code tools, including Terraform or CloudFormation
  • Understanding of DevOps and DataOps practices, including CI/CD pipelines
  • AWS certifications such as Solutions Architect, Data Analytics, or similar
  • Experience developing reusable pipeline components or improving established engineering patterns
  • Experience contributing to data architecture decisions, schema design, or pipeline performance optimization
  • Familiarity with database performance optimization, indexing, or partitioning strategies
  • Experience with data lineage, metadata management, or data cataloging tools
  • Experience providing technical guidance, mentoring teammates, or contributing to engineering best practices
  • Familiarity with AI-assisted development tools for coding, testing, documentation, or workflow automation

Benefits & conditions

  • Health, dental and vision insurance plans
  • Flexible Spending Account (FSA)
  • 401k with employer match
  • Company Sponsored Life Insurance, Short and Long Term Disability coverage
  • Flexible PTO + all Federal holidays off
  • Professional development opportunities (training, certifications, conferences)
  • Paid cloud developer accounts
  • Referral Bonus - good people know good people
  • HQ Office Perks (parking / metro reimbursement, nitro coffee & lunches)
  • Annual Social Events (540 week, hackathon, charity golf tournament, etc.)
  • Access to 540’s Washington Capitals & Nationals tickets

About the company

540 is a forward-thinking company that the government turns to in order to #GetShitDone. We do more than talk about it, we break down barriers to innovation and build impactful tech. We’re looking for someone with big ideas, who thrives on innovation and is a self-starter. If you love to learn about and work with new technologies, we want to talk to you., For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in 540’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Gender Select… Are you Hispanic/Latino? Select… Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A “disabled veteran” is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A “recently separated veteran” means any veteran during the three-year period beginning on the date of such veteran’s discharge or release from active duty in the U.S. military, ground, naval, or air service.

An “active duty wartime or campaign badge veteran” means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An “Armed forces service medal veteran” means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. Veteran Status Select…

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