Data Engineer

About the Role

As a Data Engineer at Booz Allen, you will use your skills to help build advanced technology solutions and implement data engineering activities on mission-driven projects. You will help develop and deploy pipelines and platforms that organize and make disparate data meaningful. You will learn from a multi-disciplinary team in a fast-paced, agile environment, growing your skills in analytical exploration and data examination while supporting the assessment, design, building, and maintenance of scalable platforms.

Key Responsibilities

• Organize data from disparate sources to yield pivotal insights.
• Help clients find answers in their data for missions like fraud detection, cancer research, and national intelligence.
• Develop and deploy pipelines and platforms to organize and make data meaningful.
• Support the assessment, design, building, and maintenance of scalable platforms.
• Develop scripts and programs for converting various data types into usable formats.
• Support project teams to scale, monitor, and operate data platforms.

Requirements & Tech Stack

• 1+ years of experience within data engineering, data science, software engineering, or pipeline development.
• 1+ year of experience with ETL operations or pipeline development and integration.
• Experience writing deployable software in programming languages, including Python.
• Experience with data visualization tools, including Power Bi, Tableau, or Qlik.
• Knowledge of relational and non-relational database technologies, including SQL or GraphQL.
• Ability to obtain a Secret clearance.
• Bachelor’s degree.

Nice to Have

• Experience using AI-assisted tools to develop, debug, or document data pipelines, generate SQL queries, or support data quality checks.
• Experience with Palantir Foundry.
• Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud.
• Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
• Experience working on real-time data and streaming applications.
• Experience with NoSQL implementation using MongoDB or Cassandra.
• Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake.
• Master’s degree in Computer Science, Computer Engineering, Mathematics, Data Science, Software Engineering, Electrical Engineering, Physics, or a related field.

Compensation

• Projected compensation range: $48,000.00 to $98,000.00 (annualized USD).
• This is one component of Booz Allen’s total compensation package.
• Benefits include health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, and dependent care.
• Eligibility for full benefits is for full-time and part-time employees working at least 20 hours a week on a regular basis.

Other Details

• Posting will close within 90 days from the Posting Date.
• An identity verification process leveraging biometrics and AI will be used as part of the hiring process. Candidates are expected to be on camera during interviews and assessments.
• The use of artificial intelligence (AI) or other tools to assist with responses during interviews is prohibited unless explicitly provided.
• Work Model: Depending on the role, positions may be Remote, Hybrid, or Onsite. Note that remote positions may require occasional in-person work.