Zap Energy
Head of Data
Everett, WA
Sponsorship not specified$170k-$210kDetected 26 days ago
PythonAlgorithmsMachine Learningscikit-learnPandasNumPySparkdbtData AnalysisData EngineeringData ScienceResearchLeadership
About the role
- About Zap Energy Zap is advancing the next generation of nuclear power technology across fusion, fission and hybrid applications.
- You will be the internal expert and advocate for how Zap harnesses emerging information technologies to broadly accelerate our science and engineering efforts.
- Oversee Zap's data lake initiative, ensuring alignment on architecture, data governance, and integration with existing pipelines for experimental data, diagnostics, and simulations.
Responsibilities
- You will lead a small, high-impact team while staying hands-on - particularly in scoping, prototyping, and driving AI initiatives, driving data lake architecture and automating advanced analytical techniques.
- If you are energized by rigorous science, enjoy building things that matter, and want to shape the data and AI culture of a fusion company at a pivotal moment, this role is for you.
- Data Infrastructure & Pipelines Lead the ongoing hardening and reliability improvement of our core data pipelines, which serve as the backbone for R&D operations and our machine diagnostics dashboard.
- Lead the data engineering team to improve robustness, observability, and maintainability of data systems.
Requirements
- 8 + years of experience in data science, ML engineering, or related fields, with scientific or engineering teams in fast paced research and development environments At least 2 years in a team lead or management role.
- Experience leading or participating in scientific investigations in academic or industrial environments Hands-on Python experience with scientific/data libraries (NumPy, Pandas, scikit-learn, or equivalent).
- Experience with data pipeline design, ETL workflows, and data quality practices.
Nice to have
- leading through others while staying technically engaged.
- Preferred Experience with data lake architecture and modern data stack tooling (e.g., dbt, Spark, cloud storage platforms).
- Experience managing multidimensional datasets such as time series, images, and video.
- Experience in a fast-paced R&D or deep-tech environment.
- PhD in physics or related field strongly preferred.
- Employment may be conditioned upon the ability to obtain export authorization.
Compensation
- $170,000-210,000 annually.
- Candidates may be considered for other positions at Zap Energy and actual salary will be based on relevant education, experience, and other qualifications.
- Range is published in accordance with Washington Equal Pay and Opportunity Act.
Equal opportunity
- Zap Energy is an equal opportunity employer.
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This listing is sourced directly from Zap Energy's careers page and normalized into a canonical job model.