Jobs Companies Bloom Energy Staff Data Engineer

Sobre esta vaga de Staff Data Engineer na Bloom Energy

Bloom Energy · Presencial · Fremont, California

At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more than just a dream—we’re making it reality. 

  

For over two decades, we’ve been at the forefront of the global energy transition, pioneering solutions that empower critical industries to thrive in a rapidly digitizing, energy-intensive world. From revolutionizing power for AI-driven data centers to ensuring resilience for hospitals, electric grids, manufacturing facilities, and utilities, our solid oxide fuel cell (SOFC) and solid oxide electrolyzer (SOEC) technologies are redefining what’s possible by delivering energy abundance for all. With more than 30,000 fuel cell modules deployed worldwide, we are the trusted partner for Fortune 100 companies and innovators alike. Our cutting-edge solutions enable unparalleled “time-to-power” capabilities, reliability, and sustainability, ensuring our customers remain ahead in a world where soaring energy demand and intensifying energy scarcity are rapidly becoming the new norm. 

  

At Bloom, we thrive on collaboration, bold thinking, and relentless innovation. We believe that, together, we can create a brighter, more sustainable future while tackling the most pressing challenges of the 21st century. 

  

We are looking for a Staff Data Engineer to join our team in one of today’s most exciting technologies.  This role will report to Senior Manager, Metrology and Data Analytics and based in Fremont, CA.  This is a fully on-site, in office role 5 days a week

Role and Responsibilities: 

  • Design, develop, and maintain scalable data pipelines, data models, and analytics solutions that support manufacturing and engineering teams.

  • Build and maintain curated datasets and data products that enable reliable reporting, visualization, and self-service analytics.

  • Develop software and automation tools in support of manufacturing operations, engineering workflows, and data collection systems.

  • Develop and support MES and manufacturing software solutions, including Ignition Perspective screens, custom functionality, and system integrations, in collaboration with IT and external system integrators.

  • Design and implement solutions for storing, visualizing, and analyzing metrology and image-based inspection data.

  • Apply software engineering best practices including version control, testing, documentation, and code review.

Skills and Experience:  

Required:

  • Expert proficiency in Python for software development, automation, and data processing.

  • Expert proficiency in SQL and relational database design.

  • Experience designing and supporting production data pipelines and ETL/ELT processes.

  • Experience with AWS services such as S3, Glue, Redshift, and QuickSight.

  • Experience with Ignition and Sepasoft MES platforms.

  • Experience with source control tools such as Git and collaborative software development workflows.

  • Demonstrated ability to independently lead the technical execution of complex, cross-functional projects from requirements through deployment.

  • Bachelor's degree or higher in Computer Science, Data Science, Chemical Engineering, Electrical Engineering, Mechanical Engineering, or a related technical discipline.

Preferred:

  • Experience with manufacturing, quality, metrology, or industrial automation systems.

  • Experience with modern data transformation and data modeling tools such as dbt.

  • Experience working with image data, computer vision, or image analysis applications.

  • Experience developing web-based applications, dashboards, or user interfaces.

Bloom Energy is an equal opportunity employer and makes employment decisions on the basis of merit. We are committed to compliance with all applicable laws providing equal employment opportunities. All qualified applicants, will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, or on the basis of disability. Bloom Energy makes reasonable accommodations, consistent with applicable laws, for the known physical or mental limitations of an otherwise qualified applicant or employee with a disability, who can perform the essential job functions, unless undue hardship would result.

At Bloom Energy, we are committed to supporting the well-being of our employees and their families. Our comprehensive benefits package for eligible employees includes competitive Medical, Dental, and Vision plans with a large employer contribution, a 401(k) Retirement Plan with company match, generous Mental Health Support services, Legal services, virtual Physical Therapy access, and Fertility & Family Forming benefits.

Bloom Energy is committed to fair and equitable compensation practices.

The total compensation for this position includes standard company benefits and is based on various factors including, but not limited to, relevant skills and experience.

#LI-JG1

#BEI2024

Salary Ranges:

$112,300.00 - $161,700.00
Pronto para se candidatar à Bloom Energy?
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Como este salário de Data Engineer se compara

Esta vaga paga $137,000/yrem linha com da faixa típica para vagas de Data Engineer.

$101,450 a mediana $161,500 $242,500

Faixa típica $127,788–$194,875/yr, com base em 1,740 vagas de Data Engineer comparáveis na JobsRadar (pagamento anualizado em USD). Ver insights salariais de Data Engineer →

Sobre a Bloom Energy

Bloom Energy's mission is to make clean, reliable energy affordable for everyone in the world. With roots in NASA’s Mars Program, the company’s founder, chairman, and Chief Executive Officer, Dr. K.R. Sridhar, developed an innovative fuel cell technology that is shifting the energy paradigm and redefining the electric power market. The Bloom Energy Server is a distributed electric power solution built for the digital age and capable of delivering highly reliable, uninterrupted, 24x7 constant power that is also clean and sustainable. Bloom’s unique on-site power generation systems are among the most efficient on the planet, providing significantly reduced operating costs and producing dramati

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