Booz Allen
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at Booz Allen. Skills: Data Engineering, Cloud-based data platforms, ETL/ELT data pipelines, SQL. Design data pipelines. Build data pipelines”
What You'll Achieve.
Enable mission-critical insights; Ensure data is reliable; Ensure data is secure; Ensure data is accessible; Turn raw data into actionable intelligence
Industry & Context.
Problem-solving skills
Top Secret clearance, Identity verification process, On camera during interviews, Work from Booz Allen or customer facility
What They're Looking For.
Must Have
3+ years of experience in data engineering, data integration, or backend data development, Experience designing, building, and maintaining ETL/ELT data pipelines, Experience in SQL and Python, Experience ingesting and integrating data from multiple sources such as APIs, flat files, and databases, Experience with cloud-based data platforms, including AWS, and distributed data processing, Experience working in Agile development environments and collaborating with cross-functional teams, Ability to translate technical data concepts for stakeholders, Top Secret clearance, Bachelor's degree in Computer Science, Data Science, or Engineering
Nice to Have
Experience with AWS services such as Amazon S3, AWS Glue, Amazon Athena, AWS Lambda, or Amazon Redshift, Experience implementing data validation, quality checks, and monitoring within pipelines, Experience with data lake or lakehouse architectures and columnar storage formats such as Parquet, Experience with big data frameworks such as Apache Spark and supporting data platforms, analytics environments, or AI/ML pipelines, Experience with DevSecOps practices and tools, including GitLab CI/CD or Terraform, Knowledge of data modeling concepts and data pipeline architectures such as medallion or layered approach, Knowledge of API-driven data access and event-driven integration patterns, Ability to optimize data workflows for performance, scalability, and reliability, Possession of problem-solving skills, IAT Level II, CompTIA Security+, Computing Environment, or AWS CCP Certification
What You'll Do.
Design data pipelines
Optimize data pipelines
Support AI/ML use cases
Ensure data reliability
Ensure data accessibility
Develop reusable data products
Develop scalable ingestion frameworks
How You'll Work.
Team & Collaboration
Collaborate closely with cloud engineers; Collaborate with API developers; Collaborate with data analysts; Collaborate with mission stakeholders; Collaborate with cross-functional teams
Communication Scope
Translate technical data concepts for stakeholders
Full Job Description
Data Engineer **The Opportunity:** Data is only as powerful as the pipelines that move it, the structure that organizes it, and the trust that supports it. As a Data Engineer, you’ll help build and scale a cloud-native data platform that enables mission-critical insights across the enterprise. In this role, you’ll design, build, and optimize data pipelines that ingest, transform, and deliver data from a wide range of internal and external sources. You’ll work within a modern AWS-based data ecosystem to support analytics, APIs, and AI/ML use cases ensuring data is reliable, secure, and accessible to those who need it. You’ll collaborate closely with cloud engineers, API developers, data analysts, and mission stakeholders to develop reusable data products and scalable ingestion frameworks. From batch ingestion to near real-time processing, your work will directly support national security missions by turning raw data into actionable intelligence. Work with us to build the backbone of enterprise data. Join us. The world can’t wait. **You Have:** * 3+ years of experience in data engineering, data integration, or backend data development * Experience designing, building, and maintaining ETL/ELT data pipelines * Experience in SQL and Python * Experience ingesting and integrating data from multiple sources such as APIs, flat files, and databases * Experience with cloud-based data platforms, including AWS, and distributed data processing * Experience working in Agile development environments and collaborating with cross-functional teams * Ability to translate technical data concepts for stakeholders * Top Secret clearance * Bachelor's degree in Computer Science, Data Science, or Engineering **Nice If You Have:** * Experience with AWS services such as Amazon S3, AWS Glue, Amazon Athena, AWS Lambda, or Amazon Redshift * Experience implementing data validation, quality checks, and monitoring within pipelines * Experience with data lake or lakehouse architectures and columnar s
Applying for this Data Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Booz Allen?
Real rants from real employees. Read before you apply.