Join to apply for the Data Engineer - Tech Operations role at Sigma Join to apply for the Data Engineer - Tech Operations role at Sigma Get AI-powered advice on this job and more exclusive features. About The Role

Make sure to apply with all the requested information, as laid out in the job overview below.

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. About The Role

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.

What You Will Be Doing

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.

Qualifications We Need

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

Qualifications We Want (also, skills you’ll learn!)

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

Additional Job Details

The base salary range for this position is $140k - $180k annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.

About Us

Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions. The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface – no coding required.

Since launching with its unique interface, Sigma Computing has added features such as collaboration tools and embedded analytics capabilities. The most recent product launch included a set of AI tools such as forecasting capabilities, an AI copilot and a notebook interface for users who prefer a code-first environment.

Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.

Come join us!

Benefits For Our Full-Time Employees

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

Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow.

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