Data Engineer, Mid
About The Position
As a Data Engineer at Booz Allen, you will help clients organize and make meaningful use of structured and unstructured data from disparate sources to support mission-driven work, including areas such as fraud detection, cancer research, and national intelligence. You will build advanced technology solutions and carry out data engineering activities on client projects, developing and deploying pipelines and platforms that organize data and make it useful. You will work with analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. The role includes analytical exploration and data examination, as well as supporting the assessment, design, development, and maintenance of scalable client platforms.
Requirements
- At least 1 year of experience utilizing programming languages, including Python.
- Experience using data manipulation and extract, transform, and load (ETL) procedures.
- Experience leveraging APIs to query systems.
- Experience developing data visualizations, dashboards, or lightweight web applications to communicate key insights.
- Experience communicating information verbally or in writing to audiences with varying levels of technical knowledge.
- Experience creating software for retrieving, parsing, and processing structured and unstructured data.
- Top Secret clearance.
- Bachelor's degree.
Nice To Haves
- Experience creating solutions within a collaborative, cross-functional team environment.
- Experience conducting root cause analysis and developing technical solutions to solve challenges.
- TS/SCI clearance with a polygraph.
Responsibilities
- Build advanced technology solutions and implement data engineering activities for client projects.
- Develop and deploy pipelines and platforms to organize data from disparate sources and make it meaningful.
- Support the assessment, design, development, and maintenance of scalable platforms.
- Work with analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
- Use analytical exploration and data examination to support client work.
Benefits
- Health, life, and disability benefits.
- Financial and retirement benefits.
- Paid leave.
- Professional development.
- Tuition assistance.
- Work-life programs.
- Dependent care.
- Recognition awards for exceptional performance and demonstration of company values.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
