Data Engineer, Senior

Senior Data Engineer roles at Booz Allen Hamilton focus on delivering mission-driven technology. In Quantico, VA (onsite), you will help build and deploy scalable data pipelines and platforms, working in an agile, multidisciplinary environment while supporting clients with data that can be organized, examined, and put to use.

You will contribute to advanced technology solutions by developing and maintaining data engineering capabilities across the assessment, design, building, and maintenance of platforms. The work includes turning disparate data into meaningful structures and guiding teams through fast-moving delivery cycles.

What you’ll do

• Build advanced technology solutions and implement data engineering activities on mission-driven projects.
• Deploy and develop pipelines and platforms that organize and make disparate data meaningful.
• Apply analytical exploration and data examination while managing assessment, design, building, and ongoing maintenance of scalable platforms for clients.
• Collaborate with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.

What you’ll need

• 6+ years of experience designing data warehouse or data lake, RESTful API models, event processing, or business intelligence for software systems.
• Experience building scalable ETL or ELT data pipelines, including automating large-scale batch and streaming workflows and parsing structured, unstructured, or event-streaming data.
• Coding experience in software programming languages including Postgres, SQL, Python, Scala, Spark, or Java.
• Experience using Apache Spark, Apache NiFi, or Databricks.
• Experience tuning data lake architecture to optimize cloud storage and pipeline performance.
• Experience with data management solutions covering data catalog, data usage, governance policies, and lifecycle management.
• Top Secret clearance is required.
• Bachelor’s degree and either 8+ years of experience designing, developing, operationalizing, and maintaining data systems, or 12+ years in lieu of a degree.

Technologies you may work with

• Postgres, SQL, Python, Scala, Spark, Java
• Apache Spark, Apache NiFi, Databricks
• ETL, ELT

Compensation

The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD).

Benefits

• Health, life, disability, financial, and retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program

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.

Security and identity requirements

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.

As part of the hiring process, you will be asked 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, and the company reserves the right to take your picture to verify your identity and prevent fraud.

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: Onsite. Work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Employees working virtually are generally expected to have their cameras on during meetings.