Data Engineer
Booz Allen · Stuttgart, Baden-Wurttemberg ·
- Employment
- Part time
- Category
- Data engineering
- Experience
- 1+ years
Booz Allen · Stuttgart, Baden-Wurttemberg ·
The Opportunity:
Ever-expanding technology like machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As an AI and ML engineer, you know that organizing data and architecting intelligent models can yield pivotal insights when gathered from disparate sources. We need a technically skilled AI and ML engineer like you to help our clients build intelligent systems and find answers in their data to impact important missions, from fraud detection to cancer research to national intelligence.
As an AI and ML engineer at Booz Allen, you’ll help build advanced technology solutions and implement machine learning activities on some of the most mission-driven projects in the industry. You possess a high degree of self-agency, thriving in environments where you are trusted to "figure things out" with a high degree of autonomy. You’ll bring a scrappy, technically curious approach as you code, deploy, and develop AI/ML pipelines, models, and applications 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 are eager to learn and will use your hands-on coding expertise in analytical exploration, model development, and data examination while you manage the assessment, design, building, and maintenance of scalable AI and ML applications and solutions for your clients.
Work with us to use AI for good.
Join us. The world can’t wait.
You Have:
3+ years of experience in application development, AI and ML engineering, software engineering, or data science
3+ years of experience designing, developing, operationalizing, and maintaining complex software or machine learning applications at enterprise scale
1+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data to support machine learning workflows
1+ years of experience with building scalable data pipelines, ETL and ELT workflows, or model training and deployment pipelines
Experience creating solutions within a collaborative and cross-functional team environment
Ability to code and develop scalable solutions from scratch using languages such as Python or TypeScript
Ability to navigate ambiguity, problem-solve creatively, and operate with minimal supervision
Ability to develop scripts and programs for converting various types of data into usable formats and support project teams to scale, monitor, and operate AI/ML platforms
Top Secret clearance
Bachelor’s degree in Computer Science, Data Science, or Mathematics and 3+ years of experience in a professional work environment, or 7+ years of experience in a professional work environment in lieu of a degree
Nice If You Have:
Experience with Full-stack application development or deploying ML models
Experience with Palantir tools, such as Foundry
Experience with distributed data or computing tools, including Spark, Databricks, or pipeline data science tools, such as Alteryx
Experience working on real-time data, streaming applications, or AI model deployment
Experience with data warehousing using AWS RDS, PostgreSQL, or Snowflake
Experience with Agile engineering practices
Ability to display a technically curious mindset and an eagerness to learn and rapidly master new AI and ML frameworks, libraries, and tools
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top 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 $99,000.00 to $225,000.00 (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, whether it occurs in person or virtually. 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 facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or 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.