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Data Engineer

New

Job

  • Level
    Experienced
  • Job Field
    Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Salary
    77.500 to 176.000€ gross/year
  • Location
    Ramstein-Miesenbach
  • Working Model
    Onsite
  • Job Summary

    In this role, you will develop data pipelines and workflows to analyze and organize complex datasets. You will closely collaborate with a multidisciplinary team to design analytical solutions for our clients.

    Job Technologies

    Your role in the team

    • 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 will 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 will leverage your experience in analytical exploration and data examination as you manage the assessment, design, development, and maintenance of analytic solutions for your clients.
    • Work with us to use data for good.

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    Our expectations of you

    Education

    • Bachelor's degree.

    Qualifications

    • Ability to travel up to 25% of the time.
    • TS/SCI clearance.

    Experience

    • 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+ Jahre Erfahrung mit Python, SQL, Scala oder R.
    • 2+ Jahre Erfahrung mit Datenvisualisierung oder Geospatial-Tools wie Tableau, Qlik, Power BI oder ArcGIS.
    • Experience creating solutions within a collaborative, cross-functional team environment.

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    What we offer

    • Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
    • 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.
    • 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 $77,500.00 to $176,000.00 (annualized USD).

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    Benefits

    Work-Life-Integration

    Topics You Will Work On

    Job Locations

    • Location Ramstein-Miesenbach

      66877 Rheinland-Pfalz

      Germany

    About Your Employer

    Booz Allen Hamilton

    Booz Allen Hamilton

    Booz Allen Hamilton is a leading provider of strategy and technology services for more than 100 years. Today, we offer management and technology consulting as well as engineering services for Fortune 500 companies, governments and nonprofit organizations worldwide.

    Description

  • Company Size
    250+ Employees
  • Company Type
    Established Company
  • Working Model
    Full Remote, Hybrid, Onsite
  • Industry
    Consulting, Construction, Real Estate, Building Services
  • Logo Booz Allen Hamilton

    Data Engineer

    Salary
    77.500 to 176.000€ gross/yearEstimated net salary based on the gross salary in the job ad using tax class I.46.709 to 99.330 € net/year · Tax class I
    Location
    Ramstein-Miesenbach
    Working Model
    Onsite
    Diversity
    Open for all genders
    English Only
    English only required

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