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Enterprise Solution Engineer - South East / Mid Atlantic

Sigma Computing
Remote, USA
Mid · 5+ years experience
Remote
Discovered 5 days ago

Full Job Posting

About Sigma

Sigma is a modern analytics & business intelligence (BI) application built for the cloud. Trusted by data-first companies, Sigma provides live access to cloud data warehouses using an intuitive spreadsheet interface—empowering business experts to ask more of their data without writing a single line of code. With the full power of SQL, the cloud, and a familiar interface, business users have the freedom to analyze data in real time without limits. Sigma is self-service analytics as it was meant to be: a single source of truth that eliminates data extracts, simplifies analysis, and drives BI adoption at every level of business. Sigma is closing the gap between data teams and business experts. To learn more about Sigma, visit www.sigmacomputing.com or join the conversation on Twitter @SigmaComputing.

About us:

Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.

Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.

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 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, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow.

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

When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia).

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.

Qualifications

  • We Need
  • Minimum 5 years of business intelligence experience
  • Customer relationship skills
  • Strong understanding of database concepts
  • Cloud data warehouse experience - Snowflake, Redshift, BigQuery
  • ETL experience - Fivetran, Matillion or traditional ETL
  • Excellent organizational skills and ability to multitask in a fast-paced startup environment
  • Experience implementing production business intelligence solutions or proof of concepts
  • Bachelor’s degree in computer science or related field or equivalent technical & business experience
  • 25% Travel
  • We Want (also, skills you’ll learn!)
  • Experience at a SaaS company or with cloud architectures
  • Experience with data analytics business use cases
  • Business consulting
  • AI/Apps development experience
  • Startup experience

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