Data Engineer at Booz Allen Hamilton
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

30 Nov, 26

Salary

0.0

Posted On

01 Sep, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

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 an experienced data engineer 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, with a distinct focus on applied production AI. 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.

You Have:

  • 3+ years of experience in a data engineering, application development, or data science field
  • 3+ years of experience designing, developing, operationalizing, and maintaining data applications for reporting and analytics at enterprise scale
  • 3+ years of experience with Python, SQL, Scala, or R
  • 2+ years of experience with data visualization or geospatial tools such as Tableau, Qlik, Power BI, or ArcGIS
  • 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

Nice If You Have:

  • Experience with Palantir tools, such as Foundry or Gaia
  • Experience with Large Language Models, including both applied and theoretical
  • Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
  • Experience in delivery with the U.S. Air Force or Department of Defense

How To Apply:

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Responsibilities
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