Data Engineer

# Data Engineer Sigma San  Francisco, CAFull-time $140,000 – $180,000 / year Upload your resume once and Scout applies for you Apply with Scout Share this job:

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This data platform role builds the architecture and pipelines that support trusted company insights and product demos. You’ll work with Snowflake and Databricks, establish governance processes, and collaborate with teams across Sigma on new data projects.
* Permanent* On-site
* 3+ years### Skills and expertise

Snowflake Databricks Data  pipelines and ETLAPIs Fivetran Dagster Terraformdbt ### Key responsibilities
* Architect and manage production data pipelines and their consumption in Sigma.
* Build processes to scale demo data assets across cloud data warehouses.
* Expand Terraform deployments and advance data governance practices.## How this job compares

Compared with 256 open mid-level data jobs on October 10, 2026.Pay:
This job pays $140K to $180K a year. The 67 open mid-level data jobs that publish US pay start at $126K on average, so this job starts about 11% higher.

Similar open jobs:
We Love AI Jobs lists 256 open mid-level data jobs at 104 companies.

Remote work:
This job is on site. 91 of the 256 mid-level data jobs (36%) are remote.

AI in this role:
Low. The company works with AI, but AI is a small part of this role's daily work. The role builds data infrastructure and pipelines for analytics and demo use cases. The posting does not assign work on AI models, AI tooling, or AI products.## Full description

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a Data Platform Engineer, you will be responsible for the underlying data architecture across Snowflake and Databricks, as well as building and optimizing various ETL pipelines to fuel both internal and external (demo) use cases.

Reporting to the VP of Data & Revenue Engineering, this is a high visibility role with the opportunity to work on greenfield projects.

If you’re a data engineer with a builder mindset who wants to leverage a best-in-class stack, and genuinely is invested in Sigma’s mission, let’s chat!

What You Will Be Doing
• Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma (Tech we use: Fivetran, dagster, dlt, terraform, dbt, Snowflake, Sigma, Hightouch, Metaplane)
• Build foundational processes for scaling our demo asset data across various Cloud Data Warehouses
• Scale our terraform deployment across all of our Snowflake assets
• Continue to advance our data governance policies
• Work cross functionally to accomplish all of the above! You’ll work across Product, Engineering, GTM—with users of all skills and levels

Qualifications We Need
• Strong knowledge and experience of working with APIs and building data pipelines from various systems into Cloud Data Platforms (e.g., Snowflake, Databricks)
• Strong communication and collaboration skills. You will primarily partner with the Analytics and Infrastructure Engineering teams internally at Sigma; your ability to work and collaborate closely with them will be integral to your success.
• Experience deploying data governance frameworks with a scalable and repeatable process
• Ability to thrive in ambiguous environments and get stuff done. We move fast and iterate quickly, and we want you to feel empowered to do exactly that
• 3+ years of relevant experience working in a data engineering role
• Startup experience

Qualifications We Want (also, skills you’ll learn!)
• A drive to continuously learn (and share those learnings) about the evolving data ecosystem
• Familiarity with dbt
• Advanced knowledge python knowledge
• Advanced…