CareerPlan

Data Engineer, Product

San Francisco, CaliforniaFull-time$179k–$200k2026-10-28 → 2026-11-08
Hybrid

Core

Design and build reliable, trusted datasets and ETL infrastructure to accelerate decision-making across product and business functions.

Role type

Senior Data Engineer (Product)

Builds

Core datasets, scalable data pipelines, and self-serve data exploration tools.

Domain

SaaS / Product Analytics / Cloud Data Engineering

Required skills

ETL design, data modeling, SQL (expert), Python/Java/Scala, cloud data solutions (AWS/GCP/Azure), Snowflake/Redshift/Hive, dimensional modeling, AI/agent-based tooling

Preferred skills

BigData stack (Airflow, DBT, Spark), fast-scaling/SaaS experience, object-oriented programming

Technologies

AWS, GCP, Azure, Snowflake, Redshift, Hive, SQL, NoSQL, Python, Java, Scala, Airflow, DBT, Spark, Parquet, ORC, Protobuf, Thrift

Responsibilities

Define ETL processes and infrastructure; Build core datasets as single sources of truth; Partner with stakeholders to design and monitor scalable pipelines; Implement automated workflows and self-serve dashboards.

Seniority

Senior, hands-on IC