Intern Data Engineer

Data Engineering - Intern

About the Role: -

We are seeking a highly motivated and enthusiastic Data Engineering Intern at the graduate level to join our dynamic team. The successful candidate will have the opportunity to gain practical experience with advanced data engineering technologies, including Databricks, SQL, Snowflake (data warehousing, Snowpark exposure is a plus), Python, PySpark, and Microsoft Azure. In addition, interns in this role will gain exposure to AI technologies and their implementation within data engineering workflows. This internship is well-suited for individuals who are eager to expand their technical skill set, collaborate with experienced professionals, and actively contribute to the design and implementation of large-scale data solutions. 

• To apply, please submit your resume and a brief cover note outlining your interest and samples of your work. 

• Compensation $25/hr 

• Location Hybrid with three days in our Jersey City Hexaware Office, willingness to relocate for long term projects in the future is preferred

• We do not offer Visa Sponsorship for this internship 

• Because we expect to consider these interns for full time employment upon completion of three months, we are only considering Previously Graduated or Spring 2026 Graduates. Based on organization requirements, interns may be considered for full time positions with full benefits. Others should reach out to us three months before their graduation date for the next session.

Expectations At the Internship Level: -

• Organizational Acumen: Develop a comprehensive understanding of the organization’s mission, values, and strategic objectives. Consistently align your contributions with the broader goals of the team and company.

• Commitment to Learning: 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.

• Technical Proficiency: Acquire familiarity with the key technologies and tools utilized by the data engineering team, including but not limited to Databricks, SQL, PySpark, Snowflake (data warehousing, Snowpark exposure is a plus) and Azure DevOps. Strive to deepen your practical skills in these areas through hands-on project work.

• Increasing Autonomy: Begin your internship by working under general supervision, with the expectation of progressively taking on greater responsibility and executing tasks with increased independence as your experience and confidence grow.

• Collaborative Engagement: 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.

• AI Integration Exposure: Gain practical exposure to the integration of artificial intelligence (AI) technologies within data engineering projects, enhancing your understanding of how advanced analytics and machine learning can drive business value.

Qualifications: -

Must Have Skills/Project Experience/Certifications: -

• Strong knowledge of Python, SQL, and PySpark (Scala optional) 

• Experience building metadata-driven ingestion and data quality (DQ) frameworks using PySpark 

• Solid grasp of Lakehouse architecture, Apache Spark, Delta Lake, and other key big data technologies

• Performance tuning in Databricks/Apache Spark 

• 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. 

• Proven team collaboration abilities and excellent problem-solving and analytical skills 

Education: - 

• 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.

What Working at Hexaware offers: 
Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide. We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed. Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profile. We complete the circle with excellent growth opportunities, chances to collaborate with highly visible customers, chances to work alongside bright brains, and the perfect work-life balance. With an ever-expanding portfolio of capabilities, we delve deep into and identify the source of our motivation. Although technology is at the core of our solutions, it is still the people and their passion that fuel Hexaware s commitment towards creating smiles. At Hexaware we encourage to challenge oneself to achieve full potential and propel growth. We trust and empower to disrupt the status quo and innovate for a better future. We encourage an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together. We are always interested in, and want to support, the professional and personal you. We offer a wide array of programs to help expand skills and supercharge careers. We help discover passion the driving force that makes one smile and innovate, create, and make a difference every day.

Equal Opportunities Employer: 
Hexaware Technologies is an equal opportunity employer. We are dedicated to providing a work environment free from discrimination and harassment. All employment decisions at Hexaware are based on business needs, job requirements, and individual qualifications. We do not discriminate based on race including colour, nationality, ethnic or national origin, religion or belief, sex, age, disability, marital status, sexual orientation, parental status, gender reassignment, or any other status protected by law. We encourage candidates of all backgrounds to apply.

• Find out more at Hexaware.com.