OpenAI

2 days ago

Data Engineer, CPU & Storage

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Build data systems and integrations that connect CPU and storage infrastructure data across internal platforms, vendor APIs, databases, object storage, and capacity-management tools. Work with Engineering teams to collect, normalize, reconcile, and model structured and semi-structured data, ensuring accurate, timely datasets for capacity planning and operational analysis. You’ll design ingestion workflows, backend services, and data-quality mechanisms with strong observability, testing, and maintainability.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Build and maintain software integrations that collect CPU, storage, capacity, inventory, and operational data from internal systems and external vendors.
•Connect heterogeneous data sources (APIs, relational databases, object storage, infrastructure services, capacity management platforms, vendor systems).
•Design reliable ingestion mechanisms for structured and semi-structured infrastructure data across batch, scheduled, and API-driven workflows.
•Develop backend services, jobs, and tooling to normalize infrastructure data and publish it to databases, offline tables, and analytical datasets.
•Design data models and reconciliation mechanisms to produce consistent CPU/storage capacity, utilization, inventory, and infrastructure-state representations while improving reliability and observability.

Pay and Benefits

Salary: USD 293,000 - 385,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
•4+ years of experience in software engineering, data engineering, backend engineering, infrastructure engineering, or related technical discipline.
•Strong Python skills building production services, automation, or data integrations.
•Strong SQL skills working with relational databases and large operational datasets.
•Experience integrating systems via REST APIs/SDKs and programmatic interfaces, including object storage and messaging systems.

Experience:4+ years

Education:Bachelor's

Skills:Problem-solvingCollaborationReliability focusSystem designStakeholder partnership

Tech Stack:PythonSQLREST APIsSDKsObject storageMessaging systemsAirflowRelational databasesAPIsDatabases

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

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OpenAI

2 days ago

Data Engineer, CPU & Storage

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Build and maintain software integrations that collect CPU, storage, capacity, inventory, and operational data from internal systems and external vendors.
•Connect heterogeneous data sources (APIs, relational databases, object storage, infrastructure services, capacity management platforms, vendor systems).
•Design reliable ingestion mechanisms for structured and semi-structured infrastructure data across batch, scheduled, and API-driven workflows.
•Develop backend services, jobs, and tooling to normalize infrastructure data and publish it to databases, offline tables, and analytical datasets.
•Design data models and reconciliation mechanisms to produce consistent CPU/storage capacity, utilization, inventory, and infrastructure-state representations while improving reliability and observability.

Pay and Benefits

Salary: USD 293,000 - 385,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
•4+ years of experience in software engineering, data engineering, backend engineering, infrastructure engineering, or related technical discipline.
•Strong Python skills building production services, automation, or data integrations.
•Strong SQL skills working with relational databases and large operational datasets.
•Experience integrating systems via REST APIs/SDKs and programmatic interfaces, including object storage and messaging systems.

Experience:4+ years

Education:Bachelor's

Skills:Problem-solvingCollaborationReliability focusSystem designStakeholder partnership

Tech Stack:PythonSQLREST APIsSDKsObject storageMessaging systemsAirflowRelational databasesAPIsDatabases

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor