bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesSB EnergySpare Parts Optimization Strategy Intern

Spare Parts Optimization Strategy Intern

SB Energy · San Francisco, CA · Hybrid · Active · Greenhouse

Job facts

FieldValue
CompanySB Energy
TitleSpare Parts Optimization Strategy Intern
Normalized title-
Department / teamOperational Excellence
LocationSan Francisco, CA, United States
Work modelHybrid / Hybrid
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-06-01 / 2026-06-02
Changed / last seen2026-06-02 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from SB Energy.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Operational Excellence.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanySB Energy
Source67c0286f-a9c9-462c-942e-5a7d3cae2fb4
ATS providerGreenhouse

Description

Do you want to work with high caliber professionals in a dynamic and growing company? Are you entrepreneurial, hard-working, and collegial? Join us at SB Energy, a leading company backed by SoftBank and Ares pairing cutting-edge innovation with best-in-class execution. Our Mission is to provide reliable, affordable energy at scale to support America’s growing energy demands. Headquartered in Redwood City, CA, SB Energy develops, builds, owns & operates some of the largest and most technically advanced energy and data center infrastructure projects in the United States. Since launching in 2019, the company has rapidly grown into a top-tier integrated platform with over 3 gigawatts (GW) in operation and a multi-GW pipeline of energy and data center infrastructure nationwide. SB Energy also utilizes its strong culture of innovation to identify and incorporate new technology into our projects, including our AI-based digital platform, to deliver energy infrastructure that is local, reliable, and matched to load. We are building the energy and technology future—today. Come join us in accelerating the energy transition to cleaner, more sustainable sources of power! Summer Internships at SB Energy! Are you looking for an internship to jumpstart your career? If so, you have come to the right place! SB Energy has many exciting internship opportunities. We are currently searching for students or alumni interested in gaining hands-on experience at a fast-paced and innovative energy and digital infrastructure company. Our mission is to deliver reliable and secure data center and power infrastructure to strengthen America’s future. Our internships have a specific focus, but often get broader exposure to SB Energy's business, gaining insight into different areas of the company and the energy and data center industry. Benefits Of a SB Energy Internship Apply skills and knowledge learned in the classroom to on-the-job experiences Comprehensive, value-added project(s) Work in teams and with cross-functional colleagues in a professional environment Develop technical skills specific to your major Gain opportunities for professional development by building relationships and learning from industry professionals in a live business environment Final project summary presentation to the team We’re seeking a highly motivated undergraduate Data Engineering & AI Enablement Intern to lead the migration and modernization of operational time-series data across our organization. You’ll work closely with our IT and Data teams to migrate data from our Canary Historian system into Azure Blob Storage, enabling a scalable, cost-efficient, and future-ready data platform. In parallel, you will help design how this data is exposed to SB Energy’s internal AI chatbot, enabling users to query and retrieve time-series data through natural language. This role requires comfort working in ambiguous environments and the ability to translate open-ended problems into structured, scalable solutions. This is a hands-on, high-impact role where you will take ownership of a defined problem space—from data ingestion and transformation to enabling AI-driven access—while working with modern cloud and data technologies. Responsibilities Analyze and understand time-series data stored in the Canary Historian system Design and implement components of a scalable data migration pipeline to Azure Blob Storage Transform and structure large datasets for efficient storage, query performance, and cost optimization Define data schemas, partitioning strategies, and storage formats (e.g., Parquet) Validate data integrity and ensure reliability throughout the migration process Contribute to building mechanisms for AI chatbot access (e.g., APIs, query layers, or retrieval pipelines) Collaborate with IT and Data Science teams to integrate data into downstream systems Evaluate trade-offs between different architectural approaches (performance, cost, scalability) Document technical designs, decisions, and best practices Present technical solutions and business impact to stakeholders Qualifications/Requirements Currently pursuing a Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related field Strong programming skills in Python (or similar language) Experience working with data (e.g., Pandas, SQL, or similar tools) Solid understanding of data structures, algorithms, and system design fundamentals Preferred: Experience with cloud platforms (Azure, AWS, or GCP) Familiarity with data pipelines, ETL/ELT concepts, or distributed systems Experience working with large datasets or time-series data Exposure to APIs, backend systems, or data access layers Familiarity with AI/LLM applications or interest in AI-powered systems Demonstrated ability to work independently and in a team environment Location: Redwood City, CA. We have a hybrid office work set up. Hourly pay: $25-$30 per hour At SB Energy, the success of our projects is driven by a desire to see our projects benefit as many people as possible. We work to serve local communities through volunteering, fundraising, and much more. For example, we’re proud to support access and opportunity in engineering and clean energy through impactful mentorship programs and workforce training. When you join SB Energy, you can become a part of these efforts, collaborating with team members who share a vision of building a better future now! SB Energy is built on a foundation of collaboration and inclusion. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. To learn more about us, visit www.sbenergy.com . #LI-ONSITE #LI-AM1

Full job record

Job ID30e76ce3921c6d7e2e67a68d68dc55f5f3a82dda
Org ID6b37dc31-f449-4862-ace0-121a0de805a4
Source ID67c0286f-a9c9-462c-942e-5a7d3cae2fb4
Board ID67c0286f-a9c9-462c-942e-5a7d3cae2fb4
Providergreenhouse
Provider Job Key5989108004
TitleSpare Parts Optimization Strategy Intern
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco, CA
DepartmentOperational Excellence
Team
Employment Type
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://sbenergy.com/careers/?gh_jid=5989108004
Apply URLhttps://sbenergy.com/careers/?gh_jid=5989108004
First Seen At2026-06-02 12:07:55Z
Last Seen At2026-06-06 20:33:59Z
Last Checked At2026-06-06 20:33:59Z
Last Changed At2026-06-02 12:07:55Z
Inactive At
Source Posted At2026-06-01 15:24:05Z
Source Updated At2026-06-01 15:24:05Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=sbenergy/date=2026-06-06/2026-06-06T20-33-59-065Z-9de2822e1d8e8b5d5b51eaa7ce9cfa13057b1cc08a80d65829f23beedf6eb665.json
Event Fields
{
  "content_hash": "c0dc514b9c6d3a0b0935cc48034fe7601dd8a6097c20634f5468e7a7d289dbfe",
  "source_hash": "334c4eac7e5ab3106dc85c9fab0f97ea9b958356fc59005c1f0c271a37ddeff4",
  "last_changed_at": "2026-06-02T12:07:55.877Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "San Francisco, CA",
    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T20:33:59.301Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco, CA",
      "city": "San Francisco",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": null,
  "workplace_type": "hybrid",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "title": "Spare Parts Optimization Strategy Intern",
  "offices": [
    {
      "id": 4027940004,
      "name": "Denver Office",
      "location": "Denver, Colorado, United States",
      "child_ids": [],
      "parent_id": null
    },
    {
      "id": 4004091004,
      "name": "HQ - Redwood City",
      "location": "San Carlos, California, United States",
      "child_ids": [],
      "parent_id": null
    },
    {
      "id": 4027960004,
      "name": "San Diego Office",
      "location": "San Diego, California, United States",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "language": "en",
  "location": {
    "name": "San Francisco, CA"
  },
  "metadata": [],
  "updated_at": "2026-06-01T11:24:05-04:00",
  "departments": [
    {
      "id": 4007980004,
      "name": "Operational Excellence",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "company_name": "SB Energy",
  "requisition_id": 5150796004,
  "first_published": "2026-06-01T11:24:05-04:00",
  "application_deadline": null
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/30e76ce3921c6d7e2e67a68d68dc55f5f3a82dda?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/6b37dc31-f449-4862-ace0-121a0de805a4JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/67c0286f-a9c9-462c-942e-5a7d3cae2fb4JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/30e76ce3921c6d7e2e67a68d68dc55f5f3a82dda/eventsJSON