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 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 strong problem-solving skills

• IAT Level II, CompTIA Security+, Computing Environment, or AWS CCP Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.