Data Engineer

Booz Allen Hamilton is hiring an experienced Data Engineer to support mission-driven projects. The role emphasizes building and operating data pipelines and workflows that bring together structured and unstructured data, alongside the development and maintenance of analytic solutions in an agile environment.

This onsite position is located in Camp Lejeune, NC. The projected annual compensation range is USD 77,500 - 176,000, with salary determined by factors such as location, education, skills, and contract and organizational requirements.

What You’ll Do

• Implement data engineering activities on mission-driven projects
• Deploy and develop pipelines and workflows that organize disparate data and make it meaningful
• Collaborate with and guide a multi-disciplinary team that includes analysts, data engineers, developers, and data consumers in a fast-paced agile environment
• Apply analytical exploration and data examination while assessing, designing, building, and maintaining analytic solutions for clients

What You Need

• 3+ years using programming and querying languages, including Python, R, Scala, or SQL
• 3+ years developing and maintaining data applications for reporting and analytics
• 3+ years creating software to retrieve, parse, and process structured and unstructured data
• 3+ years building scalable ETL or ELT workflows for reporting and analytics
• Experience delivering solutions in a collaborative, cross-functional team environment
• Secret clearance
• Bachelor’s degree

Technologies You May Work With

• IoT, machine learning, artificial intelligence
• Python, R, Scala, SQL
• ETL, ELT
• Tableau, Qlik, Power BI, ArcGIS
• Maven Smart Systems tools such as Foundry
• AWS, Microsoft Azure, Google Cloud
• Spark, Databricks, Hadoop, Hive, AWS EMR
• Kafka

Benefits

• Health, life, disability, financial, and retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program for employees who demonstrate exceptional performance and company values
• Full-time and part-time employees working at least 20 hours per week on a regular basis are eligible to participate in Booz Allen’s benefit programs

Clearance and Security Notice

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.

Additional Candidate Policies

• Identity verification may leverage advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud.
• You are expected to be on camera during interviews and assessments.
• Booz Allen reserves the right to take your picture to verify identity and prevent fraud.
• AI is part of daily work at Booz Allen, and responsible and ethical use is emphasized. Using artificial intelligence (or other tools) to assist with responses during interviews (in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

This role is onsite, with work primarily performed at a Booz Allen office or customer facility, where collaboration with colleagues and customers occurs as required by the position.

Nice If You Have

• Experience with Maven Smart Systems tools such as Foundry
• Experience with data visualization or geospatial tools such as Tableau, Qlik, Power BI, or ArcGIS
• Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
• Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
• Experience working within a Combatant Command or other DoD organization
• Experience with Agile engineering practices
• CompTIA Security+ Certification