Data Engineer

Booz Allen Hamilton • McLean, VA

20d • $62,000 - $141,000

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 big 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 big data to impact important missions, from fraud detection to cancer research, to national intelligence. As a big data engineer at Booz Allen, you’ll use your skills and experience to 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. Work with us to use big data for good. Join us. The world can’t wait.

Requirements

• 2+ years of experience utilizing programming languages, including Python and SQL
• 2+ years of experience developing and maintaining data applications, dashboards, or data science notebooks for reporting and analytics
• Experience with dataframe technology such as Pandas, PySpark, or Polars
• Experience creating workflows for retrieving, parsing, and processing structured and unstructured data
• Experience developing scalable ETL and ELT workflows for reporting and analytics
• Experience creating solutions within a collaborative, cross-functional team environment
• Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor, and operate data platforms
• Secret clearance
• Bachelor’s degree in Computer Science, Computer Engineering, Data Engineering, Software Engineering, or Data Science field

Nice To Haves

• Experience with Palantir tools, such as Foundry
• Experience with distributed data and computing tools, including Databricks, Hadoop, Hive, AWS EMR, NiFi, or Kafka
• Experience with data visualization or geospatial tools, including Tableau, Qlik, Power BI, or ArcGIS
• Experience working within a Combatant Command or other DoD organization
• TS/SCI clearance

Benefits

• health, life, disability, financial, and retirement benefits
• paid leave
• professional development
• tuition assistance
• work-life programs
• dependent care
• recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level