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Snowflake Internship 2026: Snowflake is scheduled to hire for the Data Engineer Intern role. Candidates with B.E/B.Tech/M.E/M.Tech qualifications can apply for this job. Candidates looking for jobs in Pune can utilise this opportunity. Interested and eligible candidates can apply online as soon as possible. The detailed eligibility and selection process is explained below. Interested candidates can also try Accenture Careers

Snowflake Internship 2026 – Details:

Job Role	Data Engineer Intern
Job Category	IT Jobs
Qualification	B.E/B.Tech/M.E/M.Tech
Experience	Freshers
Salary/CTC	Best in Industry
Job Location	Pune
Last Date	ASAP

Detailed Eligibility:

Data Engineer Intern:

Desired Class Level: B.Tech/M.Tech in progress
Must be actively enrolled in an accredited college/university program during the time of the internship
Desired majors: Computer Science, Software Engineering, Technology, or in a related field.
Strong proficiency in Python for data manipulation, automation, and application development, and Solid understanding of SQL and relational database concepts.
Preliminary experience in big data technologies across multiple domains.
Ability to interact professionally with a diverse group of functional/technical teams and business leaders.
Ability to continuously innovate and drive process improvement.
Problem solving and critical thinking skills, technical acumen, and excellent communication skills with the ability to clearly articulate complex ideas.
Bonus Experience: Hands-on experience with Snowflake (SnowSQL), Experience with CI/CD pipelines and version control (e.g., GitHub/GitLab), Familiarity with R or other statistical scripting languages.
Strong desire to learn; you are energized when new features and technologies become available and eager to understand them and maximize their potential.
Good interpersonal skills and a strong sense of ownership.

WHAT YOU WILL LEARN/GAIN: How to develop technical tools and programming that leverage artificial intelligence, machine learning and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis.

How to create and manage declarative automations and data validation to support business processes.
Exposure with partnering directly with business stakeholders to gather requirements and translate business needs into technical data solutions.
How to Design and develop innovative applications that leverage AI and Machine Learning at their core to drive automated insights.
How to Follow best practices to produce clean, efficient and maintainable data pipelines and configurations.

POSSIBLE TEAMS / WORK FOCUS AREAS: (if applicable)

Data Platform & Enablement: Focus on building and scaling the underlying infrastructure that powers the Data Cloud. You will work on automating platform setup and creating self-service tools for other engineering teams.
AI-Driven Automation: Design and implement intelligent solutions that use AI/ML to replace manual tasks, specifically focusing on automating the lifecycle of data pipeline creation.
Observability & Operations: Build advanced monitoring and alerting frameworks that utilize AI to predict and resolve pipeline failures before they impact the business.
Data Engineering Excellence: Collaborate with the core engineering team to refine data architectures, ensuring high-quality, high-integrity data flows across the Snowflake ecosystem.

WHAT WE OFFER :

Paid, full-time internships in the heart of the software industry
Post-internship career opportunities (full-time and/or additional internships)
Exposure to a fast-paced, fun and inclusive culture
A chance to work with world-class experts on challenging projects
Opportunity to provide meaningful contributions to a real system used by customers
High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation

Job Description: We’re looking for dedicated students who share our passion for ground-breaking technology and want to create a lasting future for you and Snowflake. The Data Engineering Team designs, builds and oversees the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources. Establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs