Snowflake Data Engineer Intern — Pune (2026)

About the role

Snowflake's Data Engineer Internship for 2026 in Pune — work on the world's most-loved cloud data platform alongside engineers who built the modern data warehouse. SQL, Python, dbt, Airflow.

Snowflake's Pune engineering centre is one of the company's three primary R&D locations globally (alongside San Mateo and Berlin) and is the home of significant parts of the Snowflake Data Cloud — the storage layer engineering, the query optimiser, the data-sharing infrastructure, and a meaningful share of the Snowpark and the AI / Cortex GenAI platform that the company has been building since 2023. The 2026 Data Engineer Internship in Pune sits inside this engineering organisation and is one of the cleaner ways for a data-focused 2026 batch B.Tech, B.Sc Data Science or M.Sc Statistics student to get into the modern cloud data platform world. Day-to-day work is structured around a clearly scoped intern project owned by the intern under a senior data engineer mentor. The first two weeks are onboarding to Snowflake's internal tooling — the proprietary engineering pipeline, the internal data-platform terminology (warehouse, share, stage, stream, task, dynamic table), the Slack workspace, and the company's specific testing and release workflow. Weeks three through ten are execution, where the intern writes SQL, Python (extensively, via Snowpark) and occasionally Java for the storage-layer teams. The work itself is meaningfully different from the application-engineering work at most other companies because Snowflake's platform IS the database, and intern projects are platform engineering — building features that customers will use, not application-layer features that consume the platform. The technical bar centres on SQL, distributed-systems thinking and Python data manipulation. The interview loop is three rounds: a 60-minute SQL screen at the intermediate level (window functions, recursive CTEs, query optimisation, query planning), a Python data-manipulation round at the pandas + Snowpark level (clean a messy CSV, transform a fact table, write a UDF), and an intern-level distributed-systems round (explain how a query optimiser works at a high level, design a simple distributed cache, walk through what happens when a node fails in a multi-node cluster). The strongest interns are the ones who have meaningful prior exposure to the modern data stack — even a college project that loaded a dataset into Snowflake's free trial, modelled it with dbt and built a Looker or Hex dashboard counts heavily. Snowflake's stock has performed well over the multi-year holding period since its 2020 IPO, and the equity component is genuinely material in the new-grad package. The career trajectory out of a Snowflake internship is one of the strongest in Indian data engineering. The Snowflake brand on a CV is a hard-currency credential in the modern data stack ecosystem; alumni at the two-year mark are heavily recruited by Databricks, Confluent, dbt Labs (or its commercial successor), Materialise, the modern data infrastructure startups, and the data platform teams at every major Indian product company. The internal trajectory is also strong — Snowflake India has historically promoted from new-grad to senior engineer in 3-4 years, faster than most product-company peers.

Responsibilities

Own a clearly scoped intern project on the Snowflake Data Cloud platform. Write SQL, Python (Snowpark) and occasionally Java per the team. Contribute to platform features — query optimiser improvements, data-sharing primitives, Snowpark UDFs, or the Cortex AI services. Participate in code reviews, sprint planning and the team's release train. Demo the project at the late-July intern showcase.

Requirements & qualifications

Pursuing B.Tech / B.Sc Data Science / M.Sc Statistics or related data-focused degree with 2026 or 2027 graduation. Strong SQL skills (window functions, CTEs, query optimisation). Working knowledge of Python (pandas, basic data structures). Comfortable with Git and the Linux command line. Strong written and spoken English. One college or personal data project that you can speak to in depth.

Application tips

Apply via Snowflake Careers. Build one end-to-end data project before the interview using Snowflake's free trial: load a Kaggle dataset, model it with dbt, build a Hex or Looker Studio dashboard. Reference the project on the resume and walk through it in the interview.

Interview preparation

Three rounds: SQL screen (window functions, recursive CTEs, query optimisation), Python data manipulation (pandas, basic Snowpark), intern-level distributed systems (query optimiser, distributed cache, failure handling). Spend a weekend reading the Snowflake architecture whitepaper before the systems round.

Career growth

Strong external market for Snowflake alumni at Databricks, Confluent, dbt Labs and the modern data stack ecosystem at every level.