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Listing evidence and provenance
- Source
- Lever View original listing
- Freshness
- Open in the current public read path; this is not an employer guarantee.Last observed October 5, 2026
- Classification
- Modern power-system classification not yet published for this listing.Legacy source industry field: Energy Management
- Pay provenance
- Employer-provided pay
Job Description
Startup or early-stage company experience
Key Responsibilities
- Build and maintain data pipelines and integrations across CAD/CAE, PLM, ERP, procurement, and other business systems, closing gaps in data availability across the org and turning that data into information that drives business decisions.
- Implement monitoring, alerting, and error-handling practices so data pipeline failures are caught early and resolved with minimal disruption.
- Convert defined requirements and user stories from product and business stakeholders into working tools, dashboards, and demos. Discover and streamline existing systems, workflows, and processes through automation and improved data pipelines to increase operational efficiency.
- Collaborate across domains such as business operations, manufacturing, supply chain, design engineering, experimental physics, computation, and controls to deliver fit-for-purpose tools.
- Drive clear, well-documented process and tool rollouts, capturing the reasoning behind design decisions, managing change with stakeholders, and building solutions that hold up as business needs and underlying systems evolve.
- Support data governance efforts by documenting ownership, lineage, and access requirements as new systems and integrations come online.
Requirements
- Education : Bachelor’s degree in Data Science, Computer Science, Information Systems, Engineering, or a related field
- Experience : 5+ years of experience in Data Engineering for an aerospace, defense, semiconductor, or other advanced manufacturing/R&D company
- Proficient in Python and SQL; familiarity with Spark (PySpark/Spark SQL) strongly preferred.
- Strong understanding of data modeling, ETL pipelines, relational databases and SQL Experience with the Databricks Lakehouse platform (Delta Lake, Unity Catalog, workflows) and AWS S3 cloud object storage.
- Experience building interactive dashboards and visualizations (e.g. Plotly/Dash, Streamlit, or similar)
- Proven ability to learn new technical domains quickly and translate complex systems into robust tools
- Strong communication, organizational, and documentation skills
- Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
- Startup or early-stage company experience
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