{"id":165778,"url":"https://alion.io/job/bloom-energy-stack-data-analysis-engineer","title":"Stack Data Analysis Engineer","company":{"id":58473,"name":"Bloom Energy","domain":"bloomenergy.com","url":"https://alion.io/company/bloom-energy","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":91,"open_postings":29,"ghost_share":0,"stale_share":0.172,"repost_share":0,"time_to_fill_p50_days":61,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":95100,"max":136900,"currency":"USD","period":"year","gross":null,"usd_annual":136900},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"MySQL","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-08-18T00:00:00Z","employer_posted_date":"2026-08-18","last_verified_at":"2026-10-15T09:17:54Z","board_verified":true,"closed_at":null,"days_open":59,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":59},"description":"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.\nFor 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.\nAt 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.\nWe are looking for a Stack Data Analysis Engineer to join our team in one of today’s most exciting technologies. This role will be based in San Jose, CA\nThis is a fully on-site, in office role.\nJob Description: Stack Data Analysis Engineer\nRole and Responsibilities\nMonitor and analyze data from critical components for yield, performance, and capacity increase activities\nDevelop engineering software tool/algorithm for special characterization and metrology development\nWork closely with cross-functional team to sustain and improve stack yield and problem solving.\nExplore new software/hardware to enable new component characterization and quality metrics.\nSkills and Experience:\nBachelors or Master’s degree in Mechanical/Electrical/Hardware Engineering, Physics\nExperience in 2D/3D data analysis, and image processing algorithm\nExperience in applying computational skill to solve industrial hardware problem\nExperience in statistical data analysis using Excel or JMP\nExperience in MySQL database, and Python programing\nDesign and Build hardware with hand-on experience is a plus\nStrong interpersonal skill and presentation\nAbout Bloom Energy:\nBloom 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.\nBloom Energy is committed to fair and equitable compensation practices. 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