Data Engineer
Booz Allen Hamilton
Arlington, VA18h agovia LinkedIn
This job at a glance
- Who can apply
- New grads, no experience needed · Bachelor's degree
- Must know
- AgileData analysisETLOperationsGitPython
- Nice to have
- Machine learningSQLAWSSpark
- Work
- On-site in Arlington
- Pay
- $48K–$98K a year
- Skill demand
- ETL59%Operations34%Agile19%Data analysis11%of 99 similar entry-level jobs posted in the US this week
- Listed
- Oct 29, 2026 · still open
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About the Role
As a Data Engineer, you will organize data gathered from disparate sources to yield pivotal insights for clients. You will help clients find answers in their data to impact important missions. You will develop and deploy pipelines and platforms that organize and make disparate data meaningful, working with a multi-disciplinary team in a fast-paced and agile environment.
Key Responsibilities
- Support the assessment, design, development, and maintenance of scalable platforms for clients.
- Develop and deploy pipelines and platforms to organize and make disparate data meaningful.
Requirements & Tech Stack
- Data engineering
- Pipeline development
- Data science
- Data analytics
- Machine learning
- Software engineering
- ETL operations
- Source control and collaboration software, including Git or Atlassian tools
- Programming languages, including Python
- Relational and non-relational database technologies, including SQL or GraphQL
- Automation and scripting on Linux or Windows operating systems
- Secret clearance
Qualifications
- Bachelor's degree
Nice to Have
- Experience deploying analytics workloads on a platform as a service (PaaS) and software as a service (SaaS), including AWS EMR, Redshift, SageMaker, Databricks, SQL Data Warehouse, or Machine Learning service.
- Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA.
- Experience with infrastructure as code frameworks and services, including Terraform or CloudFormation.
- Experience developing and presenting complex technical information for technical and non-technical audiences and senior leaders.
- Experience developing and deploying large-scale batch and stream analytics pipelines.
- Experience working with integrated groups comprised of customer success managers, infrastructure engineers, data scientists, and software engineers.
- Experience with DoD information systems.
- Master’s degree in Computer Science, Computer Engineering, Mathematics, Data Science, Software Engineering, Electrical Engineering, or Physics.
- Cloud Development Certification, including AWS Solutions Architect or Azure Certification.
- Information Security Certification, including Security+ or CISSP Certification.
Clearance
- Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
- Secret clearance is required.
Compensation
- Projected compensation range: $48,000.00 to $98,000.00 (annualized USD).