{"id":1605246,"url":"https://alion.io/job/intuit-staff-data-engineer-dev360","title":"Staff Data Engineer - Dev360","company":{"id":16628,"name":"Intuit","domain":"intuit.com","url":"https://alion.io/company/intuit","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Radancy","truth_index":{"grade":"B","score":78,"open_postings":54,"ghost_share":0,"stale_share":0.889,"repost_share":0.019,"time_to_fill_p50_days":41,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":202500,"max":274000,"currency":"USD","period":"year","gross":null,"usd_annual":274000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"CI/CD","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-07-30T00:00:00Z","employer_posted_date":"2026-07-30","last_verified_at":"2026-10-30T23:04:08Z","board_verified":true,"closed_at":null,"days_open":92,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":92},"description":"Join the Dev360team 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.\nOur charter is to enable Intuit’s engineers and leaders to have\nAccess all the operational data they need, when they need it, to understand how our products are performing in the real world.\nEasily track every step of the software development lifecycle, from code commits to customer adoption, and identify areas for improvement.\nContribute to building a cutting-edge data platform that empowers data-driven decisions across the entire company.\nResponsibilities\nArchitect, design, and build fault-tolerant, scalable big-data platforms that support high-velocity, high-volume data use cases.\nCollaborate 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.\nDevelop and oversee scalable architectures for data normalization, lineage, governance, ontology, and discoverability, guaranteeing efficient integration throughout diverse systems and potentially disparate business units.\nData 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.\nExecute 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.\nDemonstrate leadership and cultivate an environment of ongoing education, mentoring junior team members in technical proficiency and collaborative problem resolution.\nQualifications\n8+ years of experience working with product analytics, web analytics or other similar data analytics domains\nAdvanced proficiency in SQL, “big data” technologies (e.g., Redshift, Spark, Hive, BigQuery), and BI tools (e.g., Tableau, Qlik, Dash)\nStrong programming skills in Python or Java/Scala\nExperienced in engineering data pipelines and workflow orchestration tools, Architecting E2E big data and analytical platforms\nUnderstanding of AI-native architectures and GenAI platforms; able to assess implications for data, testing, and behavior\nStrong business acumen and the ability to translate business strategy into testable hypotheses and learning agendas\nStrong data storytelling skills, with a proven ability to rapidly construct impactful reports, communicate insights and influence leadership\nExcellent communication and interpersonal skills, with a proven ability to build trust and collaborate seamlessly across technical, business, and cross-functional teams.\nComfortable working in a fast-paced environment and have flexibility to shift priorities when needed\nBachelor’s degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field; Master’s Degree preferred\nIntuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. 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