{"schemaVersion":"jobsearcher.job.v1","id":"c1a841ad96b33d5e4e2b4f94","url":"https://jobsearcher.com/jobs/c1a841ad96b33d5e4e2b4f94","canonicalUrl":"https://jobsearcher.com/jobs/c1a841ad96b33d5e4e2b4f94","title":"Lead Data Engineer","description":"Role: Lead Data EngineerLocation: Mountain View, CA / Dallas, TX (Onsite)About the RoleData team builds and operates the data marts and pipelines that power HR/Workforce reporting and analytics across Intuit. We're looking for a hands-on Data Engineer who can operate independently. High-visibility, high-ownership - direct exposure to AI initiatives, cross-functional stakeholders, and the chance to meaningfully reduce day-to-day operational load for the team.What You'll DoBuild, maintain, and troubleshoot Spark/EMR ETL pipelines feeding HR and Workforce data marts.Monitor and remediate Data Asset Score issues (data quality rules, governance/PII-minimization actions) to keep HR data assets compliant ahead of deadlines.Be the daily coordination point between US HR business stakeholders, the IDC (India) engineering team, and platform/infra teams - translating requirements, unblocking IDC, and reporting status.Triage and resolve Jira tickets/bugs raised against HR data mart pipelines; write clear runbooks and pipeline documentation.Build semantic layers and Retrieval-Augmented Generation (RAG) pipelines.Integrate REST and/or GraphQL APIs into data workflows.Operate with minimal oversight: escalating only true blockers and proactively flag risks before they become incidents.What You Bring8+ years in Data Engineering, with strong hands-on Spark (PySpark/Scala), SQL, and Python.Experience building and operating ETL/ELT pipelines on cloud platforms (AWS EMR/S3, Databricks, or equivalent); workflow orchestration (Airflow or similar).Comfortable owning pipeline operations end-to-end: reading dependency graphs, diagnosing failures, working with on-call /PagerDuty/Splunk, and driving fixes with multiple teams.Working knowledge of data warehousing/data mart design, data governance, and PII handling practices.AI-native mindset: familiarity with LLM capabilities, evaluation frameworks, and the creative application of AI principles to engineering challenges.Proficiency with GenAI productivity tools (e.g., Claude, Cursor, Codex) to enhance engineering workflows.Strong communicator; comfortable directing an offshore IDC team with minimal handholding.","company":"United It Solutions","rawCompany":"united it solutions","city":"Mountain View","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-11T13:12:52.558Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Engineer","description":"Role: Lead Data EngineerLocation: Mountain View, CA / Dallas, TX (Onsite)About the RoleData team builds and operates the data marts and pipelines that power HR/Workforce reporting and analytics across Intuit. We're looking for a hands-on Data Engineer who can operate independently. High-visibility, high-ownership - direct exposure to AI initiatives, cross-functional stakeholders, and the chance to meaningfully reduce day-to-day operational load for the team.What You'll DoBuild, maintain, and troubleshoot Spark/EMR ETL pipelines feeding HR and Workforce data marts.Monitor and remediate Data Asset Score issues (data quality rules, governance/PII-minimization actions) to keep HR data assets compliant ahead of deadlines.Be the daily coordination point between US HR business stakeholders, the IDC (India) engineering team, and platform/infra teams - translating requirements, unblocking IDC, and reporting status.Triage and resolve Jira tickets/bugs raised against HR data mart pipelines; write clear runbooks and pipeline documentation.Build semantic layers and Retrieval-Augmented Generation (RAG) pipelines.Integrate REST and/or GraphQL APIs into data workflows.Operate with minimal oversight: escalating only true blockers and proactively flag risks before they become incidents.What You Bring8+ years in Data Engineering, with strong hands-on Spark (PySpark/Scala), SQL, and Python.Experience building and operating ETL/ELT pipelines on cloud platforms (AWS EMR/S3, Databricks, or equivalent); workflow orchestration (Airflow or similar).Comfortable owning pipeline operations end-to-end: reading dependency graphs, diagnosing failures, working with on-call /PagerDuty/Splunk, and driving fixes with multiple teams.Working knowledge of data warehousing/data mart design, data governance, and PII handling practices.AI-native mindset: familiarity with LLM capabilities, evaluation frameworks, and the creative application of AI principles to engineering challenges.Proficiency with GenAI productivity tools (e.g., Claude, Cursor, Codex) to enhance engineering workflows.Strong communicator; comfortable directing an offshore IDC team with minimal handholding.","datePosted":"2026-09-11T13:12:52.558Z","dateModified":"2026-09-11T13:12:52.558Z","hiringOrganization":{"@type":"Organization","name":"United It Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c1a841ad96b33d5e4e2b4f94"},"url":"https://jobsearcher.com/jobs/c1a841ad96b33d5e4e2b4f94"}}