Data Engineer, Mid

About the Role

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 a data professional 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 use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll develop and deploy the pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll sharpen your skills in analytical exploration and data examination while you support the assessment, design, development, and maintenance of scalable platforms for your clients.

Key Responsibilities

• Develop and deploy pipelines and platforms that organize and make disparate data meaningful.
• Support the assessment, design, development, and maintenance of scalable platforms for clients.
• Work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.

Requirements & Tech Stack

• Python
• Data manipulation and Extract, Transform, Load (ETL) procedures
• APIs to query systems
• Data visualizations, dashboards, or lightweight web applications
• Software for retrieving, parsing, and processing structured and unstructured data
• Top Secret clearance
• HS diploma or GED

Qualifications

• 1+ years 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 in verbal or written formats to audiences with varying technical knowledge.
• Experience creating software for retrieving, parsing, and processing structured and unstructured data.
• Top Secret clearance.
• HS diploma or GED.

Nice to Have

• Experience creating solutions within a collaborative, cross-functional team environment.
• Experience conducting root cause analysis and developing technical solutions to solve the challenge.
• TS/SCI clearance with a polygraph.
• Bachelor's degree.

Compensation

The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD).