The opportunity
The Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy,…
What you'll do
Design, build and manage our data pipelines, ensuring all user event data is: seamlessly integrated into our data warehouse.
Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.
Work collaboratively with various teams, including, Infrastructure, Data: Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.
Implement robust and fault-tolerant systems for data ingestion and processing.
Participate in data architecture and engineering decisions, bringing your: strong experience and knowledge to bear.
Ensure the security, integrity, and compliance of data according to industry and company standards.
What they're looking for
- Have 3+ years of experience as a data engineer and 8+ years of any software: engineering experience(including data engineering).
- Proficiency in at least one programming language commonly used within Data: Engineering, such as Python, Scala, or Java.
- Experience with distributed processing technologies and frameworks, such as: Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
- Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.