• Build and maintain data pipelines and ETL/ELT workflows
• Support end-to-end data integrations connecting applications, APIs, and data platforms
• Design and implement integration workflows using iPaaS tools and custom connectors
• Contribute to data modeling and cloud data platform work
• Debug pipeline and integration failures and take ownership of resolution
• Collaborate with cross-functional teams (Finance, GTM, Product, IT,HR) to deliver analytics-ready datasets
• Programming — Python, Java, or JavaScript (at least one)
• SQL — querying, transformations, aggregations
• APIs — REST API concepts, request/response patterns, authentication basics
• Data & Integration Concepts — pipelines, batch vs. streaming, data quality, system integrations
• PySpark — distributed data processing
• Snowflake — cloud data warehouse
• Databricks — unified data & AI platform
• Apache Airflow — workflow orchestration
• Boomi — iPaaS for building integration processes and connectors
• Dimensional Modeling — star/snowflake schema, facts & dimensions
• iPaaS / Integration Patterns — middleware, event-driven architecture
Beyond technical skills, we care about who you are:
• Curiosity & Learning Agility — Pick up new tools and frameworks fast
• Ownership & Accountability — See tasks through, flag blockers early
• Builder's Mindset — Get your hands dirty, build from scratch
• Team Player — Collaborate openly, communicate clearly
• Growth Orientation — Take feedback well, iterate fast
Our Culture
We're a fast-moving, high-ownership team. We value transparency, directness, and results. You'll have a dedicated mentor, exposure to real production systems from Day 1, and a clear path to a full-time data engineering or integrations role based on your impact.
"We hire for attitude and train for skill."
Nice to Know
• Prior projects involving data pipelines, APIs, or system integrations are a bonus
• Competitive internship compensation with performance review milestones
We are looking for a motivated Data Engineering & Integrations Intern to join our Data & Analytics team. We don't expect you to arrive knowing everything — we expect you to arrive hungry to learn. You'll work alongside experienced engineers on real-world data pipelines, system integrations, and analytics platforms, with full ownership of your work from Day 1.
If you have a strong engineering foundation and the drive to build and deliver, we'll invest in your growth.
ThoughtSpot is the Agentic Analytics Platform for every enterprise. Our mission is to create a more fact-driven world by empowering everyone to explore any data, ask any question, and uncover actionable insights faster—leading to growth, better business outcomes, and efficiency in their organizations: www.thoughtspot.com
With ThoughtSpot’s intuitive natural language search, every user can confidently generate answers from their business data at every point of decisioning. The platform’s unified capabilities, along with our agentic AI analyst, Spotter, enable users to create precise, transparent, personalized, and actionable insights with enterprise grade trust, security, and scale. Accessible via the web and mobile app, ThoughtSpot ensures intelligent decision-making happens seamlessly, wherever and whenever needed.
For developers, ThoughtSpot Embedded offers a low-code solution to integrate AI-powered analytics directly into products and services, driving data monetization and boosting user engagement for customers.
Industry leaders like Vizio, Hilton Worldwide, Capital One and Huel rely on ThoughtSpot to transform how their employees and customers take advantage of data to create better business outcomes.
Try ThoughtSpot today and experience the new era of analytics: https://www.thoughtspot.com/trial
