Data Engineer - Tech Operations

Sigma Computing • San Francisco, CA

66d • $140,000 - $160,000

About The Position

We're hiring our first Data Engineer within Tech Operations at Sigma. In this role, you'll build the data foundation that powers critical insights across Engineering and Tech Operations. You will architect, scale, and optimize data models and pipelines across Snowflake and Databricks, fueling everything from internal decision-making to external-facing environments. Reporting into the engineering organization, this is a high visibility and high-impact role with greenfield ownership and the opportunity to define how Engineering and Tech Operations leverages data at scale.

Requirements

• Strong experience working with APIs and building pipelines in cloud platforms (e.g., Snowflake, Databricks)
• Expertise in SQL and dbt; fluency in at least one programming language (e.g., Python, R, Scala)
• Experience implementing data governance frameworks that scale
• 3+ years of experience in a Data Engineering role
• Startup experience

Nice To Haves

• A drive to continuously learn (and share those learnings) about the evolving data ecosystem
• Experience with modern orchestrators (e.g., Astronomer, Airflow, Dagster)
• Experience building scalable ML systems such as recommendation engines, search or machine translation

Responsibilities

• Design, build, and maintain core data models and visualizations in Sigma to support Engineering & Tech Operations initiatives, ensuring high data accuracy and usability.
• Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma (Tech we use: Fivetran, dbt, Snowflake, Sigma, Hightouch, Metaplane).
• Build foundational data assets for Tech Operations, including Support insights and internal telemetry.
• Create observability datasets from Sigma's cloud infrastructure platforms (AWS, GCP, Azure).
• Partner with our infrastructure engineering team to ensure high availability of all key data assets.
• Build internal data products and enable self-service usage across Tech Operations.
• Identify and execute high-impact data projects in ambiguous environments, working independently to define scope, set priorities, and deliver quickly.
• Collaborate across Engineering, Product, and GTM teams to deliver on all of the above.

Benefits

• Equity
• Generous health benefits
• Flexible time off policy. Take the time off you need!
• Paid bonding time for all new parents
• Traditional and Roth 401k
• Commuter and FSA benefits
• Lunch Program
• Dog friendly office

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Publishing Industries
• Number of Employees: 501-1,000 employees