Data Engineer (m/f/d) - Datenbankentwicklung/BI, Ingenieur

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 working at the U.S. Army Europe Africa Headquarters, you’ll help build advanced technology solutions and implement data engineering activities to help the Headquarters collaborate and coordinate planning and activities at an Army Service Component Command in support of real-world operations in Europe and Africa.

You’ll deploy and develop pipelines and applications that organize and make disparate data meaningful. Here, you’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable applications 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 application development

3+ years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale

3+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data

3+ years of experience building scalable ETL and ELT workflows for reporting and analytics

Ability to develop in code repositories for creation of functions, applications, and transformation of data

Secret clearance

Bachelor’s degree

Nice If You Have:

Experience with Python, SQL, or TypeScript

Experience working at a Combatant Command or in an international environment

Experience with military exercise planning

Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka

Experience working on real-time data and streaming applications

Experience with Palantir tools such as Foundry and Maven Smart Systems

Experience with synthetic or bootstrapped data methods

Experience with Agile engineering practices

TS/SCI clearance

Master's degree

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. 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. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.