# Senior Data Engineer, Core Experimentation

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** Bellevue, WA, Seattle, WA
**Role:** Data Engineering
**Salary:** $293k – $325k/yr
**Experience:** 3+ years
**Skills:** Python, Scala, Java, Spark, Airflow, Dagster, Prefect, Hadoop, Flink, S3
**Posted:** 2026-05-14

> Build and manage data pipelines and canonical datasets for experimentation platform, tracking product metrics like user growth and revenue. Collaborate with cross-functional teams at OpenAI; requires 3+ years data engineering experience with Spark, ETL tools, and distributed systems.

## Job Description

## Responsibilities
- Design, build and manage 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.

## Requirements
- 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.
- Solid understanding of **Spark** and ability to write, debug and optimize Spark code.

## Compensation
**$293K - $325K USD**

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**Apply:** https://hotfix.jobs/jobs/3ef50420-6a15-4683-8a39-d1b5472de9cd
**Canonical:** https://hotfix.jobs/jobs/3ef50420-6a15-4683-8a39-d1b5472de9cd