Data Engineer, Foundations at Superhuman

Department: Engineering, Product, Design, and Marketing

Compensation

$175,000 – $245,000/yr

Setup: Hybrid
Location: San Francisco, California
Type: Full-time
Level: mid
Posted: Sep 11, 2026

Description

Superhuman is hiring a Data Engineer for its Data Foundations team to build and operate large-scale data pipelines, data lakes, and data platforms that ingest and process billions of daily events. The role covers Spark and Databricks, SQL and Python, ETL/ELT, data quality, observability, data modeling, and production reliability, with a hybrid work model and preferred San Francisco or Seattle hubs. The position requires at least three years of production experience and offers base pay of 175,000 to 245,000 in US Zone 1 or 157,000 to 220,500 in US Zone 2.

Required Skills

SQL
Python
Spark
Databricks
ETL/ELT
Data modeling
Data quality
Observability
CI/CD
Delta Lake
Snowflake
Airflow
dbt
Git

Additional Information

Required Previous Experiences: At least 3 years of experience running live production environments, including high-load or data-intensive workflows, with a focus on uptime and reliability.
Deep hands-on experience with Spark and a modern lakehouse or cloud data warehouse.
Experience with ETL/ELT design patterns, orchestration tools, data quality frameworks, and Git-based CI/CD.
Hands-on experience with modern data storage technologies.
Preferred Qualifications: Experience operating large-scale distributed systems, data engineering, and data modeling.
Experience with high-throughput, real-time streaming systems at the scale of billions of events per day.
Comfort with data lake and lakehouse technologies and cloud infrastructure as code.
Experience building self-serve data products, tools, or frameworks.
Experience partnering with analytics, data science, or machine learning teams to productionize data and models.