Job
- Level
- Senior
- Location
- Stuttgart
- Working Model
- Onsite
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 90.000 to 217.000€ gross/year
Job Summary
In this role, you develop complex data pipelines and integrate various data sources. You optimize data architectures while serving as a subject matter expert in data management and modernization.
Job Technologies
Your role in the team
- This Data Engineer directly supports the Special Operations Command - Africa (SOCAF) based at Kelley Barracks in Stuttgart, Germany. Data Engineers in this program support the command through a combination of data governance and data modernization efforts. Data Engineers will be embedded within SOCAF to provide subject matter expertise and technical capability for integrating complex data used by the command. Data Engineers in this program support SOCAF's initiative to be more capable and effective when leveraging their data resources.
- A Data Engineer has a deep understanding of performance optimization and data pipelining. In addition to the baseline skills of a data analyst, data engineers can make raw data more useful for the enterprise. Data Engineers can create and integrate application programming interfaces (APIs). Their technical skills generally include multiple programming languages and a deep knowledge of SQL database design.
- The Data Engineer role requires a more in-depth knowledge in programming for integrating complex models and using advanced software library frameworks to distribute large, clustered data sets. Data engineers collect and arrange data in a form that is useful for analytics. A basic knowledge in machine learning is also required to build efficient and accurate data pipelines to meet the needs for downstream users such as data scientists to create the models and analytics that produce insight.
- The Senior Data Engineer shall perform the following tasks:
- Developing, maintaining, and testing infrastructures for data generation to transform data from various structured and unstructured data sources.
- Develop complex queries to ensure accessibility while optimizing the performance of NoSQL and or big data infrastructure. Create and maintain optimal data pipeline architecture.
- Build and maintain the infrastructure to support extraction, transformation, and loading (ETL) of data from a wide variety of data sources. Extract data from multiple data sources, relational SQL and NoSQL databases, and other platform APIs, for data ingestion and integration.
- Configure and manage data analytic frameworks and pipelines using databases and tools such as NoSQL, SQL, HDInsight, MongoDB, Cassandra, Neo4j, GraphDB, OrientDB, Spark, Hadoop, Kafka, Hive, and Pig.
- Apply distributed systems concepts and principles such as consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms.
- Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service (AWS).
- Coordinate with stakeholders, including product, data and design teams to assist with data-related technical issues and support their data infrastructure needs.
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Our expectations of you
Education
- Bachelor's degree in a STEM field with preference towards Computer Science and Software Engineering.
Qualifications
- Proficient in modeling frameworks like Universal Modeling Language (UML), Agile Development, and Git Operations.
- A Secret Clearance is required to start.
- Vertrautheit mit Palantir und/oder MSS.
- Vertrautheit mit dem DoD.
- Top Secret Clearance with SCI eligibility.
Experience
- Minimum of 3 years of experience is required.
- Verifiable work experience working with data structures, database management, distributed computing, and API driven architectures using SQL and No-SQL engines.
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What we offer
- The posted pay range reflects the anticipated base salary range for this position and is provided to give candidates a general understanding of the compensation opportunity. The actual salary offered will be determined based on the requirements of the position and a variety of job-related factors, which may include geographic location, applicable Federal Government contract labor categories and wage rates, relevant experience, skills and competencies, education, certifications, and the scope and responsibilities of the role.
- Because this position may be performed in multiple locations and may be subject to different contract requirements, the salary ultimately offered may vary based on the applicable location and contract. The posted range is not a guarantee of a specific starting salary or an indication that an offer will be made at any particular point within the range.
- In addition to competitive base pay, Clarity provides a Total Rewards package designed to attract and retain exceptional professionals committed to excellence. Our benefits reflect the value we place on skilled individuals who drive our impact in critical digital missions.
- At Clarity, a career means joining a high-performing team advancing vital work in the digital landscape. We encourage you to consider the total value of joining us—competitive compensation, comprehensive benefits, and resources that support your growth and impact.
- Our Total Rewards package includes performance-based bonuses, extensive medical, dental, and vision coverage, a 401(k) plan with company match, substantial paid time off and holidays, flexible work arrangements where possible, and a range of income protection benefits. We are committed to supporting your well-being, professional growth, and ability to contribute to essential digital missions.
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Topics You Will Work On
Job Locations
About Your Employer
Clarity Innovations, LLC
Clarity Innovations, LLC is a renowned company based in Columbia, Maryland, specializing in the development and implementation of critical software and data engineering solutions for government security and defense agencies. The company provides support in areas such as cyber operations, information operations, and data analysis.
Description
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Internet, IT, Telecommunication
Senior Data Engineer
- Salary
- 90.000 to 217.000€ gross/yearEstimated net salary based on the gross salary in the job ad using tax class I.53.245 to 122.164 € net/year · Tax class I
- Location
- Stuttgart
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
