обновлено 13 дней назад
Data Applications Engineer (Aerospace)
141 162 - 197 626$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Applications Engineer (Aerospace): Building data models, dashboards, metrics, and automated pipelines for Lunar Permanence program planning and technical performance with an accent on SQL, Python, visualization, and cross-functional analytics. Focus on designing self-service reporting, modeling hierarchical aerospace data, and establishing data quality standards for safe human spaceflight programs.
Location: Space Coast, Florida, United States
Base pay range: $141,162.00–$197,626.80 annually for Washington applicants; ranges may differ by site.
Company
develops reusable space vehicles and systems, including Blue Moon lunar landers and infrastructure for transporting crew and cargo to the Moon.
What you will do
- Design and build data models for Lunar program planning, configuration tracking, scheduling, and technical performance.
- Create dashboards and key metrics for program leadership, business reviews, and decision-making.
- Develop automated data pipelines using Python and SQL for engineering, supply chain, configuration management, production, and operations.
- Partner with budget owners and technical teams to gather analytics requirements and deliver self-service reporting.
- Lead data modeling for cross-functional analyses across multiple Lunar programs.
- Establish data quality standards and documentation practices to support team scalability.
Requirements
- 4+ years of SQL experience, with Python experience; Spark is a plus.
- Demonstrable experience using GenAI tools to generate, review, and deploy code, especially for data reporting tools.
- Professional experience with visualization tools such as Databricks, Tableau, or Power BI.
- Experience gathering requirements from customers and presenting data solutions.
- Must be a U.S. citizen or national, U.S. permanent resident, refugee, or asylee due to export control regulations.
- Ability to complete the required background check.
Nice to have
- Experience building models and reports with Databricks.
- Git and GitLab experience, including branching, merging, CI/CD, variables, and deployment.
- Experience with Python, DBSQL, Spark, AWS infrastructure, and tools such as ECS, RDS, or Lambda.
- Experience with hierarchical data structures, hardware bills of materials, and production plans.
- Domain knowledge in engineering, supply chain, manufacturing, or aerospace.
Culture & Benefits
- Safety, collaboration, inclusion, and ownership are emphasized.
- Medical, dental, vision, life insurance, disability coverage, and paid parental leave.
- 401(k) with company matching of up to 5%.
- Stock options for regular employees working at least 20 hours per week.
- Up to four weeks of paid time off, up to 14 company-paid holidays, and an Education Support Program.
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