Data Engineer, Mid

The Opportunity

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence.

As a data engineer at Booz Allen, you’ll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful.

Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use data for good.

Join us. The world can't wait.

You Have

• 3+ years of experience deploying, configuring, and maintaining enterprise software and data systems in secure, air-gapped, or disconnected environments
• 3+ years of experience building and maintaining ETL/ELT pipelines for structured and unstructured data
• 2+ years of experience in Python and SQL for data manipulation, automation, and pipeline development
• Experience with distributed data and computing tools such as Spark or Databricks
• Experience developing RESTful APIs in Python to support data ingestion and integration workflows
• Experience with relational and non-relational databases, such as PostgreSQL, MongoDB, or Elasticsearch, to support deployment and configuration
• Knowledge of the Software Development Life Cycle (SDLC), secure deployment practices,...