Senior Staff Data Engineer

• Drive significant technology initiatives end-to-end and across multiple layers of architecture.

• Drive design and implementation of durable and software solutions that will solve critical customer problems, are scalable, secure, easy to maintain, and interact with numerous other

• Provide technical leadership and be a role model/coach to software engineers pursuing technical career path in engineering

• Provide/inspire innovations that fuel the growth of Intuit as a whole and generate creative ideas for emerging business needs

• Actively stay abreast on industry best practices, share learnings, and experiment and apply cutting edge technologies

Qualifications

• BS/MS in Computer Science or related area or equivalent experience

• 10+ years of professional experience designing and developing distributed scalable and highly reliable enterprise applications in Cloud.

• 7+ years of experience in Back-end technologies like Java, Spring, Express (NodeJS)

• 7+ years of experience designing and operating high-throughput, low-latency distributed systems that process data at petabyte scale

• 5+ years of experience with Streaming applications using Kafka, Apache Beam, Flink

• Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions.

• Ability to navigate multi-layered environments and mobilize various stakeholders to deliver results at pace.

• Experience with AWS or equivalent services is preferred.

• Expert at distilling complex technical concepts into persuasive narratives for stakeholders at all levels, including executive leadership.

• Proven ability to drive results across global, decentralized teams by fostering collaboration and maintaining strong professional relationships across time zones.

• Combines sharp analytical skills with a "self-starter" mindset to navigate and thrive within fast-paced, technical ecosystems.

• Knowledge of AI/ML and GenAI technologies — LLMs, RAG, Semantic Search (e.g Vertex AI search, AWS cloud search) and Knowledge Graph (e.g neo4j, ..) to integrate our data with generative AI experiences

  • Track record of mentoring engineers and driving technical alignment across teams through design documents and architecture reviews