Technical Support Engineer
Listed on 2026-02-16
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IT/Tech
IT Support, Cloud Computing, Technical Support
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.
- 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.
- 2+ years of industry experience supporting enterprise products for data analytics.
- 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.
- 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.
- Supporting a cloud service in production.
- Experience working with Snowflake, Redshift, Big Query.
- Knowledge of GCP, AWS.
- Startup experience.
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.
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Benefits For Our Full‑Time Employees:- Equity
- 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.
Note:
We have an in‑office work environment in all our offices in SF, NYC, and London.
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 USA, the UK, and Canada).
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.
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