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Tier-1 employer, popular Data Engineer title, metro location, and broad technical requirements raise competition.
Strong core data and streaming skills are transferable, but experimentation platform experience increases domain specificity.
Explicit 10+ years plus mandatory streaming, distributed systems, and backend requirements increase shortlisting strictness.
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Lead end-to-end technology initiatives impacting multiple architecture layers for the Intuit Experimentation Platform.
Design and implement scalable, secure, and maintainable software solutions addressing critical customer problems.
Provide technical leadership and mentorship to engineers, driving innovation and aligning multiple teams globally.
10+ years professional experience designing and developing distributed, scalable, and reliable enterprise cloud applications.
7+ years experience with backend technologies such as Java, Spring, and Node.js (Express).
5+ years experience with streaming technologies like Kafka, Apache Beam, or Flink.
BS/MS in Computer Science or related field or equivalent experience.
Skilled in designing and operating high-throughput, low-latency distributed systems processing petabyte-scale data.
Experience navigating multi-layered technical environments and collaborating with global, decentralized teams.
Familiarity with AI/ML and GenAI technologies (LLMs, RAG, Semantic Search, Knowledge Graphs) and integrating them into backend or user-facing systems.