Data Engineer

Booz Allen HamiltonFort Bragg, NC

About The Position

Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and artifi cia l 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. As a data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and workflows 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 analytic solutions for your clients. Work with us to use data for good. Join us. The world can’t wait.

Requirements

  • 2+ years of experience utilizing programming languages, including Python, R, Scala, or SQL
  • 2+ years of experience developing and maintaining data applications for reporting and analytics
  • Experience creating workflows for retrieving, parsing, and processing structured and unstructured data
  • Experience developing scalable ETL / ELT workflows for reporting and analytics
  • Experience creating solutions within a collaborative, cross-functional team environment
  • Ability to travel up to 25% of the time
  • TS/SCI clearance
  • Bachelor's degree in a CS, Data Science, or Mathematics field

Nice To Haves

  • Experience with Palantir Foundry
  • Experience with Pipeline Builder, AIP, and Foundry's application development ecosystem
  • Experience with Git-based code repositories and CI / CD workflows
  • Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
  • Experience with data visualization or geospatial tools such as Tableau, Qlik, Power BI, or ArcGIS
  • Experience working within a Combatant Command or other DoD organization

Benefits

  • 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.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service