Data Engineer, People Innovation Labs

This role is based in San Francisco.

Compensation:

$293K – $325K/year + Offers Equity

Responsibilities:

• Design, build and manage people data pipelines integrated into Databricks.
• Develop datasets to track key people metrics.
• Collaborate with Data Platform, Data Science, and People Analytics teams.
• Implement robust systems for data ingestion and processing.
• Ensure data security and compliance.

Requirements:

• 3+ years as a data engineer, 8+ years in software engineering.
• Proficiency in Python, Scala, or Java.
• Experience with Databricks, Snowflake, and ETL tools like Airflow.
• Familiarity with distributed processing technologies like Spark and Hadoop.