Primary record

Data Engineer II

HackerRank Indexed employerHybrid in Bangalore, India · Hybrid in Bengaluru, India
Source-hosted applyChecked 1h agoInternship
Apply at HackerRank

HackerRank receives this application through Greenhouse. Babu Careers does not claim delivery.

Workplace

hybrid

Employment

Internship

Published

Aug 11, 2026

Closes

No date supplied

The role

HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next.

Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills.

People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards.

About the role

HackerRank's data platform has just come through a major modernisation - moving from Redshift to StarRocks + Apache Hudi, and cutting export latencies from 25 seconds to under 5. The foundation is in place, and we're now building toward an AI-native data layer that will power features like natural language querying for HackerRank for Work customers.

As a Data Engineer II, you'll work within the data team to build and maintain pipelines, support in-product data features, and contribute to the datasets that power our AI initiatives. You'll work closely with senior engineers and the Lead Data Engineer, picking up well-scoped problems and growing into broader ownership over time.

What you will do

• Build and maintain data pipelines on our stack - StarRocks (OLAP), Apache Hudi (Data Lake), Trino, and Spark - under guidance from senior team members.

• Support in-product data features such as exports, insights dashboards, interview analytics, and the Custom Reports interface.

• Help prepare clean, structured datasets that feed into AI-powered features like natural language queryi

Requirements

Department: Engineering