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Engineering Manager - Data

30+ days ago 2026/08/13
General Engineering Consultancy
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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


As Engineering Manager - Data, you will lead and grow our Data Engineering team while defining the technical vision for our data platform. You’ll build scalable, reliable systems that power analytics, experimentation, AI models, and executive decision-making across the company.


This is a high-ownership leadership role combining platform architecture, data strategy, and team building.


What you’ll do


  • Own and drive the technical roadmap for the Data Engineering team, planning and delivering on a quarterly basis
  • Execute product plans and manage delivery commitments with a strong focus on quality and timelines
  • Architect and build scalable backend systems, data pipelines, and infrastructure components aligned with 12-factor app principles
  • Design and implement robust data warehouses and data strategies for SaaS products
  • Define clear quarterly goals for the team and guide execution to achieve measurable outcomes
  • Mentor engineers and help them deliver to the best of their abilities
  • Set clear career paths for team members and support their professional growth
  • Lead technical discussions and help engineers make critical architectural and design decisions
  • Partner closely with the Product team to develop and curate the data and platform roadmap

Who you are


  • 8+ years of software development experience with 2+ years of engineering leadership experience
  • Strong architecture and system design skills with experience building large-scale web services
  • Hands-on experience designing and developing backend systems, data pipelines, and infrastructure components
  • Deep understanding of cloud-native architectures, especially AWS
  • Experience designing and building data warehouses
  • Experience in defining and executing a Data Strategy for SaaS products
  • Strong technical leadership with the ability to drive critical technical discussions
Even better if you have
  • Knowledge of Kafka, Spark, and related data technologies
  • Experience with Python, Kubernetes, Docker, and modern deployment technologies

You will thrive in this role if you


  • Enjoy balancing hands-on technical contributions with people leadership
  • Think strategically about long-term platform scalability while delivering short-term results
  • Comfortable operating in fast-paced, evolving environments
  • Take ownership end-to-end  from roadmap definition to execution and team growth

Want to learn more about HackerRank? Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here.


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. 


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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.

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