Partner Engineering Intern (Summer 2026)
Sigma is a leading cloud analytics solution that empowers business teams to analyze data at scale without code. By offering an intuitive spreadsheet-like interface, Sigma makes data exploration accessible to everyone, providing real-time insights and driving smarter business decisions.
Internship Overview: Sigma is seeking motivated and enthusiastic students to join us as Partner Engineer Interns for the Summer of 2026. These students will intern directly with our Partnerships team and focus on partner engineering efforts.
We are looking for two students for the summer 2026 program - one to focus on Partner Engineering and the other on Partner Engineering Operations. This 12-week internship offers a unique opportunity to gain hands-on experience in partner enablement, go-to-market strategy, and ecosystem collaboration. You will work directly with key internal teams and external partners, contributing to projects that have a direct impact on Sigma’s growth. This role supports the growth of our sales teams and combines both a technical and data driven approach.
Internship Program Qualifications:
Current student:
- Applicants must be currently enrolled in a university degree program in the U.S with a graduation date of December 2026 or later
- Able to intern from May / June 2026 through August / early September 2026
Authorization:
- You must be legally authorized to work in the US during the Summer 2026 program
- Visa sponsorship is not available for our internship positions
Location:
- Applicants must be able to work in-person in our office in San Francisco, CA for the duration of their internship.
- Relocation assistance will be provided for students who will need to relocate for the Summer in the form of a relocation bonus.
Key Internship Responsibilities:
Partner Engineering:
- Assess the current state of ISV partner integrations with a focus on AI related features.
- Develop prototypes for possible new integrations.
- Create and update documentation on partner integrations.
- Collaborate cross-functionally with the Partnerships, Enablement, Sales, and Product teams.
- Develop Sigma workbooks using Sigma’s python, excel, and sql capabilities.
- Present findings and recommendations to leadership at the conclusion of the internship.
Partner Operations:
- Assist continual design and development of our external Sigma Partner Portal
- Support partner operations by turning raw data into analytics-ready datasets
- Create, maintain and analyze reports and workbooks to track KPIs and partner performance
- Help ensure data quality by adding basic tests, validations, and checks
- Assist cross-functional partner initiatives - design process, manage timelines, implementation and documentation
- Support processes, enhancements, and reports for the Partner Team
- Document current state and future state business and technical process around our partner ecosystem and proactively drive process and policy improvement
- Go hands on with the key tools of the Modern Partner Ecosystem (e.g. Sigma, Snowflake, Crossbeam, Salesforce, Hubspot), helping to expose insights for the team
Qualifications:
- Current student pursuing a degree in Business Analytics, Informatics or Data Engineering. Preference for students graduating in 2027.
- Strong communication, research, and organizational skills.
- Strong analytical skills, prior experience in analytics engineering, BI development, data warehousing, or similar.
- Ability to build relationships and work collaboratively across teams internally and externally
- Problem solver with a proactive and results-oriented mindset.
- Open to learning new tools and technologies
- Interest in partnerships, business development, and the data analytics industry.
- Strong project management skills, with the ability to manage multiple projects simultaneously and meet deadlines.
- Familiarity with SQL, python, cloud data warehouses, dbt or similar transformation frameworks
- Hands on experience with data visualization or analytics tools such as Looker, Tableau, PowerBi, or similar
- Experience in business development or partnerships is a plus.
- Able to commit 40 hrs a week for 12 weeks in-person in one of our office locations
Why Join Sigma?
- Gain practical experience in a fast-growing SaaS company.
- Work directly with industry-leading partners and cross-functional teams.
- Opportunity to impact Sigma’s go-to-market strategy.
- Professional mentorship and career development support.
- Fun and inclusive company culture with networking and learning opportunities.
Additional Job details
Interns at Sigma are compensated with an hourly rate and relocation bonus (where applicable). Our hourly rate for this role is $36.00 - $40.00 per hour.
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, 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 all our offices in SF, NYC, and London.
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 USA, the UK, and Canada).
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.
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