---
title: 'Data Engineer II at HackerRank Careers'
canonical: 'https://feeny.ai/job/data-engineer-ii-hackerrank-careers-in-bangalore-57tkpdwb2e5q'
type: 'job'
last_seen: '2026-09-07'
---

# Data Engineer II at HackerRank Careers

- **Company:** HackerRank Careers
- **Location:** IN Bangalore, India
- **Work type:** hybrid
- **Posted:** 2026-08-11
- **Last confirmed live:** 2026-09-07
- **Apply:** https://job-boards.greenhouse.io/hackerrank/jobs/8102780

## Job description

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 querying.
- Implement access controls and data security policies (e.g., Apache Ranger) as defined by senior engineers.
- Respond to and help reduce ad-hoc data requests from internal teams (AI platform, analytics, go-to-market) by contributing to self-service pipelines.
- Write clear documentation and participate in code/design reviews.
- Troubleshoot data quality and pipeline issues, escalating architectural decisions to senior engineers.

## Who you are

- 2-4 years of data engineering experience.
- Working knowledge of at least one OLAP database (StarRocks, ClickHouse, Druid, or similar).
- Some experience with data lake technologies (Hudi, Iceberg, or Delta Lake) - deep expertise not required, willingness to learn is.
- Familiarity with distributed query engines (Trino/Presto) and Spark, or strong SQL/Python fundamentals with eagerness to pick these up.
- Basic understanding of data security and access control concepts.
- Comfortable in an AWS + open-source environment, or quick to ramp up.
- Good communicator who can explain their work to teammates and ask for help when scoping is unclear.

Even better if you have

- Any exposure to AI/LLM-adjacent data work - even coursework or side projects with RAG, vector stores, or LLM pipelines.
- Interest in how data products get consumed by non-technical, end-customer-facing features.
- Experience at a SaaS or B2B product company.

You will thrive in this role if

- You want to grow your skills on a modern, production-grade data stack.
- You like clearly-scoped problems but are eager to take on more ambiguity over time.
- You care about doing good, reliable engineering work more than being the one setting direction.
- You're curious about AI and want to build the pipelines that feed it, even if you're not designing the AI systems yourself.
- You like working closely with a senior mentor and leveling up quickly.

Want to learn more about HackerRank? Check out [HackerRank.com](http://hackerrank.com/) to explore our products, solutions and resources, and dive into our story and mission [here](https://www.hackerrank.com/about-us/).

HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

[Linkedin](https://www.linkedin.com/company/hackerrank/) | [X](https://twitter.com/hackerrank) |https://www.linkedin.com/company/hackerrank/[Blog](https://blog.hackerrank.com/?utm_medium=email&utm_content=signature) | [Instagram](https://www.instagram.com/hackerrank?igsh=MWNid2d6aWlxYnl0OQ==) | [Life@HackerRank](https://www.instagram.com/lifeathackerrank?igsh=eDFta3owaTJsbW5x)

Notice to prospective HackerRank job applicants:

- Our Recruiters use @hackerrank.com email addresses.
- We never ask for payment or credit check information to apply, interview, or work here.

## About HackerRank Careers

## Company Overview
- **One-liner**: HackerRank is a skills-based hiring platform that helps companies assess and hire developers through coding challenges and technical interviews, while also nurturing a massive developer community focused on upskilling.
- **Entity Type**: Private (Series D, $60M led by Susquehanna Growth Equity in March 2022)
- **Headquarters**: Santa Clara, California, USA (global offices also in Bangalore, India, with remote teammates across the US, UK, and India)
- **Founded**: Not publicly available from provided sources (commonly reported as 2012)
- **Founders**: Vivek Ravisankar and Hari Karunanidhi

## Core Business
- **Primary industry**: HR tech / Talent assessment / Developer skills evaluation
- **Target customers**: B2B – companies of all sizes hiring developers; also B2C – developers seeking to improve their skills and find jobs
- **Mission or purpose statement**: “Change the world to value skills over pedigree.”

## Products & Services
- **[HackerRank Platform](https://www.hackerrank.com)**: A SaaS-based assessment platform that enables companies to screen and interview developers using coding challenges, automated evaluations, and technical interview tools. Includes a library of over 188 million skill assessment data points and supports 26M+ developers in the community.
- **[Chakra (AI Interviewer)](https://builtin.com/company/hackerrank/jobs)**: An AI-powered interviewer being developed to conduct conversational interviews, focusing on conversation management, evaluation methodologies, and quality at scale (mentioned in job postings for Machine Learning Engineer, Chakra).
- **Expanded Assessments**: Beyond software development, HackerRank is building assessments for skills in hardware, design, QA, and soft skills (e.g., for distributed teams).

## Market Standing
- **Valuation / Market Cap**: Not disclosed (last known funding round: $60M Series D in March 2022)
- **Key Metric**: Total funding of $60M+ (Series D led by Susquehanna Growth Equity); prior rounds include $3M Series A
- **Notable Investors / Partners**: Susquehanna Growth Equity (lead in Series D)
- **Growth Signals**:
  - Over 26 million developers in the community
  - 2,500+ customers
  - 172,800 daily skill assessments submitted
  - 188 million+ data points on technical skill assessments
  - Expanding into new assessment areas (machine learning, blockchain, crypto, hardware, design, QA, soft skills)
  - Developing an AI interviewer (Chakra) to scale interviews
  - 18 million+ developers in the community (as of earlier data point)

## Competitive Advantages
- **Developer skills authority**: Massive dataset of 188M+ skill assessments provides unique insights into developer capabilities.
- **Community network effects**: 26M+ developers use the platform, attracting more companies and creating a virtuous cycle.
- **Developer-first mindset**: Products are built from the perspective of enabling developers to be their best, which resonates with both candidates and hiring teams.
- **AI-powered innovation**: Chakra AI interviewer aims to automate and scale high-quality technical interviews, differentiating from traditional coding assessment platforms.
- **Brand credibility**: Trusted by thousands of companies; known for moving hiring away from resume-based pedigree toward skills-based evaluation.

## Strategic Focus
- **AI-driven assessment**: Investing heavily in Chakra, an AI interviewer that can conduct structured, high-quality interviews at scale.
- **Expanding skill coverage**: Broadening assessments beyond software development to include hardware, design, QA, and soft skills to support the needs of distributed teams.
- **Global reach**: Continuing to grow the developer community and customer base internationally, with relocation support for key roles in Santa Clara and Bangalore.
- **Data-driven hiring**: Leveraging its massive dataset to improve the accuracy and fairness of assessments.

## Why Work Here
- **Mission-driven culture**: “Change the world to value skills over pedigree” – the team is passionate about making hiring more equitable.
- **Values**: Think developer-first, be the captain (ownership), go deep, be humble, truly care.
- **Work environment**: Hybrid, on-site, and remote roles available depending on the position. Offices in Santa Clara and Bangalore, with teammates across the US, UK, and India.
- **Hiring process**: Fast – typically a few days to two weeks. Includes technical assessments, interviews with the hiring manager and future teammates, and a HackerValues interview. Relocation support provided for in-office roles.
- **Benefits**: Competitive pay and meaningful equity, health coverage for you and family, retirement plans by region, flexible paid time off, home office/remote work stipends, mental health and well-being support, annual learning and growth budget, referral bonuses.
- **Engineering culture**: High bar for quality, speed and quality are not trade-offs; focus on craft and impact. Teams work on cutting-edge AI and large-scale data systems.
- **Growth opportunities**: Fast-growing company with active roles in machine learning, data engineering, security, product management, and customer success.

## Sources
1. [hackerrank.com/careers/home](https://www.hackerrank.com/careers/home)
2. [hackerrank.com/about-us](https://www.hackerrank.com/about-us)
3. [linkedin.com/company/hackerrank](https://www.linkedin.com/company/hackerrank)
4. [builtin.com/company/hackerrank/jobs](https://builtin.com/company/hackerrank/jobs)
5. [builtin.com/company/hackerrank/faq/workplace-perception](https://builtin.com/company/hackerrank/faq/workplace-perception)

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