Staff Data Engineer

Intuit

Mountain View, CA

Full Time

Senior

187k-252k

8 days ago

Job Description

About the Role

Join the Operational Data Lake (ODL) team that plays a crucial role in supporting Intuit's mission by providing a comprehensive view of how its applications are performing, enabling data-driven decisions to enhance customer experiences and improve operational efficiency. Our charter is to enable Intuit's engineers and leaders to have access to all the operational data they need, when they need it, to understand how our products are performing in the real world. The team focuses on tracking the software development lifecycle, from code commits to customer adoption, and building a cutting-edge data platform that empowers data-driven decisions across the entire company.

Key Responsibilities

Architect, design, and build fault-tolerant, scalable big-data platforms that support high-velocity, high-volume data use cases.
Collaborate cross-functionally with Product Management, Engineering, and Central Data Lake teams to ensure platform alignment with current requirements and future extensibility.
Develop and oversee scalable architectures for data normalization, lineage, governance, ontology, and discoverability, ensuring efficient integration across diverse systems and business units.
Collaborate with domain event producers and product teams to determine, curate, and administer datasets for analytics, Generative AI, and Machine Learning, deriving actionable customer intelligence.
Execute code reviews, promote coding best practices, and establish processes for unit testing, continuous integration/continuous delivery, performance testing, capacity planning, documentation, monitoring, alerting, and incident response.
Demonstrate leadership and cultivate an environment of ongoing education, mentoring junior team members in technical proficiency and collaborative problem resolution.

Requirements

8+ years of experience working with product analytics, web analytics, or other similar data analytics domains.
Advanced proficiency in SQL, big data technologies (e.g., Redshift, Spark, Hive, BigQuery), and BI tools (e.g., Tableau, Qlik, Dash).
Strong programming skills in Python or Java/Scala.
Experience in engineering data pipelines and workflow orchestration tools, architecting end-to-end big data and analytical platforms.
Understanding of AI-native architectures and GenAI platforms; able to assess implications for data, testing, and behavior.
Strong business acumen and the ability to translate business strategy into testable hypotheses and learning agendas.
Strong data storytelling skills, with a proven ability to rapidly construct impactful reports, communicate insights, and influence leadership.
Excellent communication and interpersonal skills, with a proven ability to build trust and collaborate seamlessly across technical, business, and cross-functional teams.
Comfortable working in a fast-paced environment and flexible to shift priorities when needed.
Bachelor's degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics, or related quantitative field; Master’s Degree preferred.

Nice to Have

Experience with AI-native architectures and GenAI platforms.

Qualifications

Bachelor's degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics, or related field.
Master's Degree preferred.

Benefits & Perks

Competitive compensation package with a strong pay-for-performance rewards approach.
Eligibility for cash bonus, equity rewards, and benefits in accordance with applicable plans and programs.

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