Partner Engineering Intern (Summer 2026)
Sigma Computing
1 day ago
San Francisco, CA, USA
Intern
H1B Sponsor
Responsibilities
- 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.
- Assist in the design and development of the 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, managing timelines and documentation.
- Document current and future state business and technical processes around the partner ecosystem.
Requirements
- Current student pursuing a degree in Business Analytics, Informatics, or Data Engineering.
- Strong communication, research, and organizational skills.
- Strong analytical skills with prior experience in analytics engineering or BI development.
- Ability to build relationships and work collaboratively across teams.
- 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.
- Familiarity with SQL, Python, cloud data warehouses, or similar frameworks.
- Hands-on experience with data visualization or analytics tools.
- Experience in business development or partnerships is a plus.
- Able to commit 40 hours a week for 12 weeks in-person.
Benefits
- 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.
- Relocation assistance provided for students who need to relocate.
Tech Stack
dbtPythonSnowflakeSQL
Categories
AI & MLData EngineeringData Science