Senior Analytics Engineer, Product Analytics

Ibotta
Denver
Workplace: HybridFull timeUSD 127,000 - 147,000 annuallyFunction: Data Analytics & Business IntelligenceExperience: 5+ yearsEducation: bachelorsSkills: ["Ownership","Communication","Continuous learning","Cross-functional collaboration","Mentorship"]

Build and orchestrate production data pipelines that power product dashboards and automate internal analytics workflows. Own data infrastructure and tracking source-of-truth and rollup tables, while implementing data quality, reliability, and governance practices. Stand up CI/CD and automated testing for analytics code and pipelines, maintain Looker/LookML dashboards, and optimize data for downstream decision scientists. You’ll also mentor teammates and collaborate across Data Engineering and the broader org to scale self-service analytics.

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FursaFursa
Ibotta
Ibotta
3 weeks ago

Senior Analytics Engineer, Product Analytics

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Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live

Job Summary

Build and orchestrate production data pipelines that power product dashboards and automate internal analytics workflows. Own data infrastructure and tracking source-of-truth and rollup tables, while implementing data quality, reliability, and governance practices. Stand up CI/CD and automated testing for analytics code and pipelines, maintain Looker/LookML dashboards, and optimize data for downstream decision scientists. You’ll also mentor teammates and collaborate across Data Engineering and the broader org to scale self-service analytics.
Location: Denver
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Design, build, and orchestrate production data pipelines that power dashboards and automate internal analytical processes.
  • •Manage data infrastructure including Databricks Asset Bundles (DABs), Airflow, and related platform migrations, operating independently with support as needed.
  • •Own tracking-event source-of-truth tables and build rollup tables for new tracking and business events.
  • •Implement engineering best practices to provide quality curated data sets, including schema validation, data contracts, and anomaly detection.
  • •Build and maintain Looker/LookML dashboards, set self-service patterns, and mentor newer members while managing cross-functional stakeholder priorities.

Pay and Benefits

Salary: USD 127,000 - 147,000 annually
Equity and Bonus:Equity
Perks:MedicalDentalVisionEquity401kPaid Parking

Key Requirements

  • •5+ years in analytics, data, or software engineering.
  • •Bachelor’s degree in Computer Science, Analytics, Statistics, Economics, or related field required.
  • •Hands-on production pipeline experience using Python, expert SQL, Spark, Airflow, and cloud data warehouses (Databricks preferred).
  • •Experience with automated testing, CI/CD (GitHub Enterprise/Actions), data validation, and anomaly detection.
  • •Proficiency across Databricks (including DABs), Looker/LookML, Airflow, and GitHub Enterprise, plus experience with semantic layers, data contracts, event-driven architecture, and AI-assisted tooling.
Experience:5+ yearsAnalyticsData engineeringSoftware engineeringProduct analyticsE-commerceFintech
Education:Bachelor's in Computer Science, Analytics, Statistics, Economics or related field
Skills:OwnershipCommunicationContinuous learningCross-functional collaborationMentorship
Tech Stack:PythonSQLSparkAirflowDatabricksDatabricks Asset Bundles (DABs)LookerLookMLGitHub ActionsGitHub EnterpriseCI/CDMonte CarloClaudeCursorCopilotDatabricks GenieSemantic layersData contractsEvent-driven architectureCI

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Ibotta
Ibotta is a mobile cashback and rewards platform that enables consumers to earn rebates and discounts on grocery, retail, and online purchases while providing brands and retailers with promotional and shopper insights.
Industry: E-commerce
Company Size: Large (251 to 1,000 employees)
Growth: Established Company
Funding: Series D
Headquarters: Denver, United States
Founded: 2012
WebsiteLinkedIn