69% of tech leaders are preparing their teams for GenAI. Uncover more insights in the AI Skills Report. Read now

Adapt your hiring strategy for an AI-powered future. Uncover more insights in our latest whitepaper. Read now

Products
- Products
  - Screen
    Save time and accelerate your hiring.
  - Interview
    Conduct stellar technical interviews.
  - Engage
    Promote your tech brand.
  - SkillUp
    Mobilize your tech talent.
- Features
  - Certified Assessments
    Launch standardized, role-based tests in minutes.
  - Plagiarism Detection
    Ensure fairness with AI-powered plagiarism detection.
  - Real World Questions
    Assess technical hires with real-world coding questions.
  - Integrations
    Seamlessly connect with your favorite tools.
Solutions
- What We Do
- Use Cases
  - Remote Hiring
  - University Hiring
Resources
- Learn
  - Blog
    Hiring best practices and industry insights.
  - Roles Directory
    Explore the definitive directory of tech roles.
  - Resource Library
    Guides, datasheets, and data-driven content.
  - Customer Stories
    How leading companies use HackerRank.
  - 2024 AI Skills Report
    Research and insights on the state of AI skills.
- Product Help
  - October Release
    Discover what's new with HackerRank.
  - Responsible AI
    Learn more about how we work with AI.
  - What's New
    Get the latest product news and updates.
  - Partners
    Learn more about the HackerRank Partner Network.
  - Support
    Everything you need to know to get started.
Pricing
For candidates
Contact Us

Data Engineer (Java Spark)

Overview

Data engineers with expertise in Java Spark are responsible for designing and building large-scale data processing systems using the Java framework. They use their knowledge of distributed computing and data analysis to develop efficient and scalable data pipelines.

Also known as:
Software Data Engineer Java