Data Engineer

Booz Allen Hamilton • Scott AFB, IL

1d

About The Position

Data Engineer 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 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, developing, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can’t wait.

Requirements

• 4+ years of experience in a professional work environment
• Experience using programming languages such as Python, R, or Java to develop and maintain scalable data stores and scripts and programs to make data usable
• Experience retrieving, parsing, and processing structured and unstructured data and working with ETL workflows for reporting and analytics
• Knowledge of data engineering tools such SQL, Spark, Kafka, and cloud environment tools within AWS or Azure
• Ability to work collaboratively in a cross-functional team
• Secret clearance
• HS diploma or GED

Nice To Haves

• Experience supporting DoW or federal agencies, including analytic support
• Experience working in a cloud environment to develop applications with real-time data migration or streaming
• Experience with data warehousing, distributed data tools such as Databricks, and DoW analytic tools such as Advana and Maven Smart Systems
• Experience supervising teams or leading projects
• Knowledge of Agile engineering practices
• Possession of excellent verbal and written communication skills, including communicating effectively to leadership
• TS/SCI clearance
• Bachelor’s degree in Software Engineering, Data Science, Computer Science, Mathematics, Statistics, Engineering, or a similar field

Benefits

• Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care.
• Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values.
• Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs.
• Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: High school or GED