Data Engineer, Marketing

This role is based in San Francisco.

Compensation:

$255K – $405K + Offers Equity

Responsibilities:

• Design, build, and manage pipelines that integrate marketing and partnership data into our data warehouse.
• Develop canonical datasets to track key business metrics such as spend, LTV, CAC, ROI, and incremental performance.
• Partner with various teams to understand data needs and deliver scalable solutions.
• Implement robust systems for data ingestion and processing across multiple channels.
• Ensure the security, integrity, and compliance of data according to industry standards.

Requirements:

• 3+ years of experience as a Data Engineer and 8+ years of overall software engineering experience.
• Proficiency in Python, Scala, or Java for data engineering.
• Experience with distributed processing technologies and storage systems.
• Familiarity with ETL orchestration tools and Spark.
• Understanding of marketing data sources.