Staff Data Engineer
Company Overview
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
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 all the operational data they need, when they need it, to understand how our products are performing in the real world.
- Easily track every step of the software development lifecycle, from code commits to customer adoption, and identify areas for improvement.
- Contribute to building a cutting-edge data platform that empowers data-driven decisions across the entire company.
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 guarantee the platform aligns with current requirements and maintains extensibility for future functionalities.
- Develop and oversee scalable architectures for data normalization, lineage, governance, ontology, and discoverability, guaranteeing efficient integration throughout diverse systems and potentially disparate business units.
- Data and Artificial Intelligence Enablement: Collaborate with domain event producers and product teams to determine, curate, and administer datasets essential for sophisticated analytics, encompassing Generative AI and Machine Learning, and 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.
Qualifications
- 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
- Experienced in engineering data pipelines and workflow orchestration tools, Architecting E2E 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 have flexibility 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
Career Path
Mobility plays an important role for our engineering community. In addition to vertical growth, our teams offer lateral growth opportunities. Whether it’s working on a different tech stack or product, Intuit will help you get to the next step in your career.
- Software Engineer 1 & 2
- Sr. Software Engineer
- Staff Software Engineer
- Sr. Staff Software Engineer
- Principal Software Engineer
- Distinguished Software Engineer
There's so much flexibility in terms of moving not just between teams, but between roles.
Lucy Shen Developer Advocate
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