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    Internships/Hexaware Technologies

    Intern Data Engineer

    Hexaware Technologies · United States

    Summer 2026On-sitePaidPosted 2026-04-01
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    About the role#

    This internship offers graduate-level students the opportunity to gain practical experience with advanced data engineering technologies. You will work on large-scale data solutions and gain exposure to AI implementation within data engineering workflows while collaborating with experienced professionals.

    What you'll do#

    • Contribute to the design and implementation of large-scale data solutions.
    • Gain hands-on experience with Databricks, SQL, Snowflake, Python, PySpark, and Microsoft Azure.
    • Participate in training sessions and professional development opportunities.
    • Align your project contributions with the broader goals of the team and company.
    • Progressively take on greater responsibility and work with increasing independence over the course of the internship.

    What you'll need#

    • Current enrollment in a graduate-level program in Computer Science, Data Science, or Computer Engineering.
    • Familiarity with Databricks, SQL, Snowflake, Python, PySpark, and Microsoft Azure.
    • A proactive approach to learning and professional growth.
    • Interest in exploring AI technologies within data engineering workflows.

    Location & details#

    • Location: United States
    • Modality: On-site
    • Term: Summer 2026
    • Status: Full-time, paid internship
    Relevant fields:Computer ScienceData ScienceComputer Engineering

    About Hexaware Technologies

    Founded in 1990, Hexaware Technologies is a public IT services and consulting firm headquartered in Navi Mumbai, Maharashtra. The company employs over 10,000 people across 28 countries to provide business process services, cloud solutions, automation, and digital transformation support. It serves clients across various sectors including banking, healthcare, insurance, travel, and manufacturing. The organization specializes in enterprise solutions, infrastructure management, and data analytics.

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