Data Engineer

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 Head of Data, 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, dbt, Snowflake, Sigma, Hightouch, Metaplane)
• Build foundational processes for scaling our demo asset data across various Cloud Data Warehouses
• Partner with our infrastructure engineering team to ensure high availability of all key data assets
• Build and scale 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 knowledge and strong opinions around orchestrators (e.g., Astronomer, Airflow, Dagster)
• Advanced knowledge of working with public clouds (e.g., AWS, GCP)

Pay and benefits

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.

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

Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney. All roles have a 25% travel expectation unless explicitly stated otherwise.

Our Privacy Practices

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Sigma's use of AI

This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.