Data Platform Engineer: Scale Pipelines on Cloud Warehouses

Sigma Computing; San Francisco (CA); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Equity

Flexible time off

Paid bonding time for new parents

Traditional and Roth 401k

Commuter and FSA benefits

Lunch Program

Dog friendly office

Job summary

Sigma Computing is expanding its Data Platform team in San Francisco. As a Data Platform Engineer, you will own the underlying data architecture across Snowflake and Databricks, and build and optimize ETL pipelines for internal and demo use cases.

You will collaborate with Analytics and Infrastructure teams, drive data governance, and scale Terraform deployments as the company grows, with a base salary of $140k–$180k and stock options.

Qualifications

• 3+ years of experience in data engineering.
• 3+ years of experience in data engineering.
• Startup experience.
• Experience building data pipelines to Snowflake/Databricks.
• Strong APIs and data integration skills.

Responsibilities

• Architect and manage production data pipelines in Snowflake; consumption across Sigma.

Skills

APIs & pipelines

Data governance

Cloud platforms (AWS/GCP)

Snowflake & Databricks

dbt

Python

Orchestrators (Airflow/Dagster)

Tools

Fivetran

dagster

dlt

terraform

dbt

Snowflake

Sigma

Hightouch

Metaplane

Astronomer

Job description

Sigma Computing is expanding its Data Platform team in San Francisco. As a Data Platform Engineer, you will own the underlying data architecture across Snowflake and Databricks, and build and optimize ETL pipelines for internal and demo use cases.

You will collaborate with Analytics and Infrastructure teams, drive data governance, and scale Terraform deployments as the company grows, with a base salary of $140k–$180k and stock options.