Data Engineer, Mid

This onsite Data Engineer, Mid role in Fort Walton Beach, FL offers a benefits-forward environment with Booz Allen Hamilton. Enjoy comprehensive coverage and growth opportunities, including health, life and disability insurance, retirement benefits, paid leave, professional development, tuition assistance, work-life programs, and dependent care. The position sits in a competitive salary range and supports mission-driven projects within a collaborative, cross-functional team.

Location: Fort Walton Beach, Florida, onsite

Benefits

• Health insurance
• Life insurance
• Disability insurance
• Financial benefits
• Retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care

Compensation

The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). Salary is determined by multiple factors including location, education, knowledge, skills, competencies, experience, contract-specific affordability, and organizational requirements. This posting will close within 90 days from the posting date.

Responsibilities

• Contribute to building advanced technology solutions and carry out data engineering activities on mission-driven programs.
• Develop and deploy pipelines and platforms that transform disparate data into analytics-ready formats.
• Collaborate with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in an agile, fast-paced environment.
• Enhance skills in analytical exploration and data examination.
• Support the assessment, design, development, and maintenance of scalable platforms for clients.

Requirements

• 2+ years of experience with programming languages, including SQL and Python
• 2+ years of experience developing and maintaining scalable data stores that supply big data for business analysis
• Experience with DoW Risk Management Framework
• Experience with Palantir Foundry or Palantir Envision
• Experience creating software for retrieving, parsing, and processing structured and unstructured data
• Experience developing scalable ETL or ELT workflows for reporting and analytics
• Experience collaborating in a cross-functional, team-oriented environment
• Ability to travel up to 25% of the time
• Secret clearance
• HS diploma or GED

Technologies

• SQL
• Python
• Palantir Foundry
• Palantir Envision
• Spark
• Databricks

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.

Identity verification

As part of the hiring process, an identity verification process using biometric and AI-based methods may be used to ensure authenticity. Interviews and assessments may require you to be on camera, and a photo may be taken to verify identity and help prevent fraud.

Candidate AI usage policy

AI tools are part of the workplace at Booz Allen, but the candidate process is based on your own skills and knowledge. Use of AI or other tools to assist with responses during interviews is prohibited unless explicit permission is provided.

Work model

Onsite: work will primarily be conducted at a Booz Allen office or customer facility, with collaboration expected in person as required by the role.

Non-discrimination

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