52 минуты назад
Data Engineer (AI)
135 000 - 165 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (AI): Building and maintaining secure data pipelines, ETL/ELT workflows, and analytics-ready datasets with an accent on Python, SQL, Spark, Databricks, and data quality. Focus on processing structured and unstructured data in classified SCIF environments, supporting data transformations, and integrating mission-focused analytics platforms.
Location: On-site at designated U.S. or Stuttgart, Germany locations; must be able to work in a SCIF.
Salary: $135,000–$165,000 per year
Company
supports national security and critical civilian missions through advanced technology integration and data-driven solutions.
What you will do
- Develop and maintain secure data pipelines and ETL/ELT workflows.
- Build analytics-ready datasets from structured and unstructured data.
- Process and transform data using Databricks, Spark, Palantir Foundry, Maven Smart Systems, or comparable platforms.
- Apply data validation, modeling, testing, documentation, and data-quality practices.
- Collaborate with data scientists, engineers, technical stakeholders, and mission stakeholders.
Requirements
- U.S. citizenship and an active Secret security clearance are required; some assignments may require TS/SCI clearance.
- On-site work in a SCIF is required.
- Bachelor’s degree in computer science, data science, engineering, information systems, mathematics, or a related technical field, or an equivalent combination of education and experience.
- 3+ years of relevant experience in data engineering, software development, data analytics, or enterprise platforms.
- Experience with Python, ETL/ELT pipelines, data transformations, data validation, data modeling, and data-quality practices.
- Familiarity with SQL, Spark or PySpark, Databricks, version control, testing, documentation, and Agile development.
Nice to have
- Experience with Palantir Foundry, Maven Smart Systems, or War Data Platform.
- Exposure to Docker, CI/CD, MLflow, APIs, Terraform, AWS, or Azure.
- Familiarity with Department of Defense data environments, classified networks, or Combatant Command support.
- Experience with JavaScript or TypeScript.
Culture & Benefits
- Culture centered on happiness, helpfulness, honesty, humility, eagerness, and a strong work ethic.
- Emphasis on collaboration, mutual respect, transparent communication, and continuous improvement.
- Work supporting national security and critical civilian missions.
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