Technical Support Engineer

Posted 2 Days Ago
Be an Early Applicant
San Francisco, CA
130K-160K Annually
Junior
Cloud • Information Technology • Analytics
The Role
As a Technical Support Engineer at Sigma Computing, you will assist customers with diagnosing and resolving complex technical issues while collaborating with cross-functional teams to enhance service performance. You'll also work on automating processes and improving issue resolution strategies.
Summary Generated by Built In



About the role:

Sigma is growing and our user base is growing just as fast. We are looking for talented support engineers with a strong grasp on analytics, curious by nature and a desire to help. As a technical support engineer at Sigma Computing, you will be part of a talented team of engineers, with a shared mission to make data easily accessible for everyone. This team was recognized by TrustRadius as Best Customer Support 2021!

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.
  • 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, 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 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.

Note: We have an in-office work environment in both our SF & NYC office.


Top Skills

SQL
The Company
HQ: San Francisco, CA
329 Employees
On-site Workplace
Year Founded: 2014

What We Do

Sigma is not another Business Intelligence tool. Sigma is the only Cloud Analytics solution with a spreadsheet-like interface that enables anyone to explore data at cloud scale and speed. Discover what happened, why it happened, and what will happen.

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