1 month ago
Base Salary
$347k - $385k/yr
Responsibilities
- Design, build, and manage data pipelines that integrate user event data into the data warehouse.
- Develop canonical datasets for product growth, engagement, revenue, and other key metrics.
- Collaborate with Infrastructure, Data Science, Product, Marketing, Finance, and Research teams to deliver data solutions.
- Implement robust and fault-tolerant data ingestion and processing systems.
- Participate in data architecture and engineering decisions.
- Ensure data security, integrity, and compliance with applicable standards.
Requirements
- Have 3+ years of data engineering experience and 8+ years of software engineering experience, including data engineering.
- Be proficient in at least one commonly used data engineering programming language, such as Python, Scala, or Java.
- Have experience with distributed processing technologies and frameworks such as Hadoop and Flink, and distributed storage systems such as HDFS and S3.
- Have expertise with ETL schedulers such as Airflow, Dagster, Prefect, or similar frameworks.
- Understand Spark and be able to write, debug, and optimize Spark code.
Benefits
- The role is based in Bellevue and uses a hybrid work model emphasizing in-person collaboration.
- Compensation is listed at $293K–$325K USD.
Tech Stack
Categories
Data Engineering
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.