Data Engineer

Booz Allen Hamilton offers a robust benefits package, including health, life, disability, financial, and retirement coverage, paid leave, professional development opportunities, tuition assistance, work-life programs, and dependent care. This onsite Data Engineer role in Washington, DC centers on building data pipelines and platforms, organizing diverse data assets, and collaborating with a multidisciplinary team on mission-driven projects that deliver real impact.

Responsibilities

• Contribute to the design and deployment of data engineering solutions for mission-focused initiatives.
• Build and maintain pipelines and platforms that integrate disparate data sources and render them meaningful for stakeholders.
• Lead and collaborate with a multidisciplinary team of analysts, data engineers, developers, and data consumers in an agile, fast-paced environment.
• Apply analytical exploration to guide the assessment, design, construction, and upkeep of scalable data platforms for clients.

Requirements

• 3+ years of experience with major data science languages such as Python and R.
• 3+ years of experience retrieving, merging, and analyzing structured and unstructured data from APIs and databases using Python, R, or SQL.
• Experience with database design and administration in DBMS such as SQL Server or PostgreSQL.
• Experience with data analytics, data mining, statistical analysis, or AI/ML.
• TS/SCI clearance with polygraph.
• Bachelor’s degree and 8+ years of data engineering experience, or 12+ years of data engineering experience in lieu of a degree.

Technologies

• Python
• R
• SQL
• SQL Server
• PostgreSQL
• Tableau
• PowerBI
• git
• Jenkins
• SonarQube

Compensation

The projected compensation range for this position is $77,600 to $176,000 per year (USD). Salary is determined by factors including location, education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.

Clearance

TS/SCI clearance with polygraph is required.

Identity verification

• Identity verification uses advanced biometrics and artificial intelligence to ensure authenticity and prevent fraud.
• Interviews and assessments may require you to be on camera.
• Booz Allen reserves the right to take your photograph to verify identity and prevent fraud.

Candidate AI usage policy

AI usage during interviews is prohibited unless explicit permission is provided.

Work model

Our people-first culture emphasizes collaboration, whether in person or virtually. Remote employees are typically expected to have cameras on during meetings. Remote, hybrid, and onsite arrangements are defined as follows:

• Remote: May require occasional in-person work at Booz Allen or a customer facility.
• Hybrid: Frequent work from a Booz Allen facility with potential visits to customer facilities.
• Onsite: Primary work location at a Booz Allen office or customer facility, with in-person collaboration as needed.

Non-discrimination

All qualified applicants will be considered for employment without regard to disability, protected veteran status, or any other status protected by applicable law.