OpenAI

Data Engineer, Analytics

OpenAI30 months ago
Location

San Francisco

Type

Full Time

Salary

USD 230,000 – 385,000

Level

Senior

Role

Data Engineer

Posted

Sep 26, 2023

Full TimeSenior

The role

Summary

OpenAI is seeking an experienced Data Engineer to lead development of critical data pipelines powering AI safety systems, analytics, and business decisions. The role involves building scalable data infrastructure for ChatGPT and other AI products, collaborating with research teams, and handling massive-scale user event data in a high-growth AI company environment.

What you'll do

Data Pipeline Architecture: Design, build, and manage robust data pipelines ensuring seamless integration of user event data into the data warehouse
Canonical Dataset Development: Develop and maintain canonical datasets to track critical product metrics including user growth, engagement, and revenue analytics
Cross-functional Collaboration: Work with Infrastructure, Data Science, Product, Marketing, Finance, and Research teams to understand data requirements and deliver tailored solutions
System Implementation: Implement fault-tolerant, scalable systems for high-volume data ingestion and real-time processing
Data Architecture Leadership: Participate in strategic data architecture and engineering decisions, leveraging extensive experience to guide technical direction
Security and Compliance: Ensure data security, integrity, and compliance with industry standards and OpenAI's safety requirements
AI Research Support: Collaborate directly with ChatGPT researchers and ML teams to provide data infrastructure supporting model training and deployment
Business Intelligence: Power critical business decisions through data-driven insights and analytics supporting rapid company growth

What we look for

Technical

Data Engineering ExperienceMinimum 3+ years of dedicated data engineering experience building production data systems
Software Engineering Background8+ years total software engineering experience including data engineering roles
Programming ProficiencyExpert-level proficiency in Python, Scala, or Java for data engineering applications
Distributed SystemsHands-on experience with Hadoop, Flink, and distributed storage systems (HDFS, S3)
Apache Spark ExpertiseStrong Spark skills including writing, debugging, and optimizing Spark code for performance
ETL OrchestrationExperience with workflow schedulers like Airflow, Dagster, Prefect for production data pipelines

Education

Technical DegreeBachelor's degree in Computer Science, Engineering, Mathematics, or related technical field preferred
Advanced EducationMaster's degree in Data Science, Computer Science, or related field advantageous but not required

Experience

Large-Scale Data SystemsExperience building and maintaining data systems handling millions of daily events
Cloud PlatformsHands-on experience with AWS, GCP, or Azure for scalable data infrastructure
Data Warehouse DesignExperience designing and implementing enterprise data warehouses and data lakes
Real-time ProcessingBackground in stream processing and real-time analytics for high-velocity data
ML Pipeline IntegrationExperience supporting machine learning workflows and model training infrastructure

Skills

Required skills

Python ProgrammingAdvanced Python skills for data pipeline development and automation
Apache SparkProduction experience with Spark for distributed data processing and analytics
ETL DevelopmentExpertise in Extract, Transform, Load processes and data integration patterns
Distributed SystemsUnderstanding of distributed computing principles and fault-tolerant system design
Data ModelingSkills in dimensional modeling, data warehousing concepts, and schema design
Workflow OrchestrationExperience with Airflow, Dagster, or similar tools for pipeline scheduling and monitoring

Nice to have

Scala ProgrammingFunctional programming experience for advanced Spark applications
Java DevelopmentEnterprise Java experience for large-scale distributed systems
Stream ProcessingReal-time data processing with Kafka, Kinesis, or similar streaming platforms
Machine Learning OperationsMLOps experience supporting model training and deployment pipelines
Data GovernanceKnowledge of data privacy, security, and regulatory compliance requirements
Performance OptimizationExperience optimizing data pipelines for cost efficiency and processing speed

Compensation & benefits

Salary

USD 230,000 – 385,000 (annual)

Stock options

Available

Benefits

Equity Compensation

Significant equity package allowing employees to share in OpenAI's growth and success

Relocation Assistance

Full relocation support for candidates moving to San Francisco headquarters

Health Insurance

Comprehensive medical, dental, and vision coverage for employees and dependents

Disability Accommodations

Reasonable accommodations provided for applicants and employees with disabilities

Professional Development

Opportunities to work with cutting-edge AI research and collaborate with industry-leading researchers

Mission-Driven Work

Contribute to ensuring artificial general intelligence benefits all of humanity

Equal Opportunity Employment

Inclusive workplace committed to diversity and equal opportunity regardless of background

Interview process

  1. 1
    Application Review — Initial screening of resume, portfolio, and technical background by recruiting team
  2. 2
    Recruiter Phone Screen — 30-minute conversation covering background, interest in OpenAI, and salary expectations
  3. 3
    Technical Assessment — Take-home coding challenge focused on data engineering problems, ETL design, and Spark optimization
  4. 4
    Technical Interview Round 1 — 1-hour virtual interview covering system design for data pipelines, distributed computing concepts, and SQL skills
  5. 5
    Technical Interview Round 2 — 1-hour interview focusing on Spark programming, performance optimization, and troubleshooting scenarios
  6. 6
    Cross-functional Interview — 45-minute discussion with product or research team members about collaboration and data requirements
  7. 7
    Final Interview — 1-hour conversation with hiring manager covering cultural fit, career goals, and OpenAI's mission alignment
  8. 8
    Reference Checks — Professional reference verification and background check completion before offer
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OpenAI

OpenAI

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OpenAI is an American artificial intelligence research organization developing advanced AI models like GPT. Focused on ensuring AI benefits humanity, it creates tools for natural language processing and generative AI applications.

San Francisco, California, United StatesFounded 2015openai.com

Tech Stack

Languages
PythonScalaJavaSQL
Frameworks
Apache SparkHadoopApache Flink
Databases
Data WarehouseHDFSNoSQL Databases
Tools
Apache AirflowDagsterPrefectAmazon S3DockerKubernetes
Other
ETL/ELT ProcessesStream ProcessingData ModelingCI/CD Pipelines

Interview Guides

5 guides available for OpenAI

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