Technical Support Engineer

Sigma Computing
New York City, NY$90k – $125kPosted 26 March 2026

Job Description

About the role: Sigma is growing rapidly, and our Technical Support Engineering team is scaling alongside it to meet the needs of an expanding global user base. As a Technical Support Engineer at Sigma, you will be part of an award-winning team recognized with the 2024 Stevie Gold Award for Customer Service, helping customers solve technical, business, and data challenges using the Sigma platform. You’ll work closely with Product, Engineering, and Go-to-Market teams to diagnose complex issues, drive solutions, and contribute to the continuous improvement of our product and support operations. What you will be doing: You will work with Sigma’s customers and the pre-sales team to assist with the diagnosis and resolution of complex technical issues. Working closely with the development team, you will develop best practices and tools for diagnosing issues and optimizing the service for performance. Collaborate with cross-functional groups - backend, frontend, devops, design, product, and the go-to-market teams to create a first-class experience for users of our product. Participate in quarterly projects, perform periodic on-call duties, and other assignments as needed to improve automation and processes. Qualifications we are looking for: 2+ years of industry experience supporting enterprise products for data analytics. Education: Bachelor’s degree in Computer Science, Information Systems, or a related field. Computer Science fundamentals. Strong domain expertise in databases and business intelligence SQL proficiency - Very good grasp on JOINs, Partitions, Window Functions, Aggregations, CTEs, Sub-queries etc. SQL query performance troubleshooting and plan generation understanding Proficient in data modeling concepts Ability to properly chart data into logical visualizations A proven track record of building trust with customers and bringing issues to resolution quickly Excellent verbal and written communication skills A strong desire to build scalable processes for issue resolution (documenting common patterns for issue resolution, building tooling for diagnosing issues etc) Strong collaboration skills and the ability to work with multiple departments and co-ordinate issue triaging, diagnosis and resolution Desire to be a great teammate and have fun at work Highly Desirable Skills Experiences Supporting a cloud service in production Experience working with Snowflake, Databricks, Redshift, BigQuery Knowledge of GCP, AWS Startup experience Additional Job details The base salary range for this position is $90k - $125k 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 an annual bonus, stock options, as well as a comprehensive benefits package. If you do not feel that you satisfy all the listed requirements, we encourage you to still apply. We are enthusiastically looking for people that will help us grow our company and sometimes we are imperfect communicators and can’t articulate perfectly what experience is required for a role. We are looking for people that are excited to grow and constantly ask how we can do things better. If you are excited about the opportunity, we encourage you to apply even if you don’t satisfy 100% of the job requirements. About us: Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences. Sigma announced its $200M in Series D financing in May 2024, ... (truncated, view full listing at source)
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