Spring 2026

Data Engineer Intern

HEXAWARE

HEXAWARE

No salary listed

No H1B Sponsorship

Chicago, IL, USA

In Person

Relocation to Chicago preferred for long-term projects.

Category
Data & Analytics (1)
Required Skills
Microsoft Azure
Python
Apache Spark
SQL
Scala
Databricks
Snowflake
Requirements
  • Strong knowledge of Python, SQL, and PySpark (Scala optional)
  • Experience building metadata-driven ingestion and data quality frameworks using PySpark
  • Solid grasp of Lakehouse architecture, Apache Spark, Delta Lake, and other key big data technologies
  • Performance tuning in Databricks/Apache Spark
  • Proven team collaboration abilities and excellent problem-solving and analytical skills
  • M.Sc (CS) degree or equivalent from accredited university or BS with strong Work or Internship Experience
  • Relevant certifications in cloud, data engineering, or AI/ML are a plus
Responsibilities
  • Develop a comprehensive understanding of the organization's mission, values, and strategic objectives. Consistently align contributions with the broader goals of the team and company.
  • Exhibit a proactive and enthusiastic approach to learning throughout the internship. Actively participate in training sessions, seek out opportunities for professional development, and demonstrate continual growth in both technical and business knowledge.
  • Acquire familiarity with the key technologies and tools utilized by the data engineering team, including Databricks, SQL, PySpark, Snowflake (data warehousing, Snowpark exposure is a plus) and Azure DevOps. Strive to deepen practical skills through hands-on project work.
  • Begin internship by working under general supervision, with the expectation of progressively taking on greater responsibility and executing tasks with increased independence as experience and confidence grow.
  • Operate effectively within a distributed and diverse global team environment. Demonstrate strong communication skills and a collaborative mindset while working with colleagues across various time zones and locations.
  • Gain practical exposure to the integration of artificial intelligence technologies within data engineering projects, enhancing understanding of how advanced analytics and machine learning can drive business value.
Desired Qualifications
  • Hands-on experience with artificial intelligence (AI) or machine learning (ML) projects is highly desirable. Exposure to integrating AI/ML models within data pipelines or familiarity with AI frameworks will be considered a significant advantage and may provide the candidate with a competitive edge in this role.
  • Relevant certifications in cloud, data engineering, or AI/ML are a plus
  • Snowflake exposure (Snowpark) is a plus

Company Size

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Company Stage

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Total Funding

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Headquarters

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Founded

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