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OpenAIOpenAIBellevue, WA

Senior Data Engineer, Core Experimentation

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.

293k – 325k/yr
Hybrid3+ YOEData Engineering

About the role

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

Skills

PythonScalaJavaSparkAirflowDagsterPrefectHadoopFlinkS3

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