Machine learning engineer Jobs in Wiesbaden

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 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

Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. 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. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.