Senior Analytics Engineer, Product Analytics

Ibotta, Inc.; Denver (CO); Hybrid; USD 127,000 - 147,000; Full time

Benefits offered by this job

Employee Stock Purchase Program

Paid parking

Snacks and occasional meals

401k match

Medical/dental/vision coverage

Job summary

Ibotta, Inc. is seeking a Senior Analytics Engineer in Denver, CO, a hybrid role requiring 3 days in the office. You will design and run scalable data pipelines, own data infrastructure and governance, and enable self-service analytics across product and business teams.

You will establish standards, mentor teammates, and collaborate with Data Engineering to optimize ETL and warehouse environments. Experience with Databricks, Looker/LookML, Airflow, and AI tooling is essential.

Qualifications

• 5+ years in Analytics, Data, or Software Engineering
• Bachelor’s degree in CS, Analytics, Statistics, Economics or related field
• Hands-on experience building production pipelines using Python, SQL, Spark, Airflow and cloud data warehouses (Databricks preferred)
• Experience with automated testing, CI/CD, data validation, and anomaly detection
• Proven ability to establish self-service patterns, set engineering standards, mentor team members, and manage cross-functional priorities in an Agile environment
• Proficiency with Databricks (DABs), Looker/LookML, Airflow, and GitHub Enterprise for rapid autonomy

Responsibilities

• Design, build, and orchestrate production data pipelines powering dashboards and analytics processes
• Manage data infrastructure including Databricks, Airflow, and migrations; work independently where possible
• Own tracking event sources and build rollup tables for events and business metrics
• Implement engineering best practices to deliver quality, curated data sets
• Stand up CI/CD and automated testing for analytics code and pipelines
• Own data quality, reliability, governance including schema validation and data contracts
• Optimize and aggregate raw data for downstream users in DS and BI
• Build and maintain Looker/LookML dashboards used for orchestration
• Mentor teammates on engineering standards and self-service patterns
• Coordinate with stakeholders across the org to prioritize requests and enable the team
• Collaborate with Data Engineering to streamline ETL and warehouse environment
• Foster data literacy and democratize data strategy across the company
• Integrate AI into engineering workflows (Claude, Cursor, Copilot, Databricks Genie)
• Monitor, maintain, and modernize data services
• Uphold Ibotta’s core values: Integrity, Boldness, Ownership, Teamwork, Transparency

Skills

Analytics/Software Engineering

Education

Bachelor's degree in CS/Analytics/Statistics/Economics

Tools

Databricks (DABs)

Looker/LookML

Airflow

GitHub Enterprise

Python

SQL

Spark

Job description

Ibotta is seeking a Senior Analytics Engineer to serve as the technical backbone of our Product Analytics team in our mission to Make Every Purchase Rewarding.

In this senior, high-ownership role, you will build scalable pipelines, set engineering standards, and establish the data foundations that power product decisions across Ibotta. Operating horizontally across diverse domains; from consumer products, to client surfaces, to semantic layers; you will elevate data quality, empower decision scientists and data scientists, and enable self-service analytics at scale.

This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States.

Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one.

What you will be doing:

• Design, build, and orchestrate production data pipelines that power dashboards and automate the team's internal analytical processes; the core, front-and-center focus of this role

• Manage the team's data infrastructure: Databricks Asset Bundles (DABs), Airflow, the ongoing Airflow-to-DABs migration, and other platform migrations; infra support is available, but ideally you can operate independently

• Own tracking-event source-of-truth tables and build rollup tables for new tracking and business events (the team owns all tracking events; some need rollups, some are good as-is)

• Implement and utilize engineering best practices and methods to provide quality curated data sets

• Stand up CI/CD (GitHub Actions) and automated testing for analytics code and pipelines

• Own data quality, reliability, and governance: schema validation, data contracts, anomaly detection (Monte Carlo or processes you build yourself) to catch issues early, plus PI discovery, classification, and tagging

• Optimize and aggregate raw data into a consumable format for downstream users in Decision Science and Business Intelligence

• Build and maintain Looker / LookML dashboards, some of which our pipelines rely on for orchestration

• Set patterns and examples for a largely self-service team, and actively coach and mentor newer members on best practices and engineering standards

• Manage stakeholders across the org: connect the dots, sequence competing requests, and know when to wait for readiness versus push ahead to enable the team

• Collaborate with Data Engineering to streamline our ETL processes and warehouse environment

• Work cross-functionally across the entire organization to democratize our data strategy and foster data literacy

• Integrate AI into engineering workflows. We build Claude skills and plugins to automate, standardize, and assist our day-to-day work and enable the team to gain speed and accuracy.

• Monitor, maintain, and modernize existing data services

• Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere

What we are looking for:

• 5+ years in Analytics, Data, or Software Engineering

• Bachelor’s degree in Computer Science, Analytics, Statistics, Economics or related field required

• Hands-on experience building production pipelines using Python, expert SQL, Spark, Airflow, and cloud data warehouses (Databricks preferred)

• Demonstrated practice with automated testing, CI/CD (GitHub Enterprise/Actions), data validation, and anomaly detection

• Proven ability to establish self-service patterns, set engineering standards, mentor team members, and manage cross-functional priorities in an Agile environment

• Direct proficiency across Databricks (including DABs), Looker / LookML, Airflow, and GitHub Enterprise for rapid autonom

• Experience with semantic layers, data contracts, event-driven architecture, and AI-assisted tooling (Claude, Cursor, Copilot, Databricks Genie)

• Exposure to product experimentation (A/B testing), decision science, or e-commerce/fintech domains

• A growth mindset grounded in clear communication, continuous learning, iterative product delivery, and healthy technical debate

About Ibotta (“I bought a…)

Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine.

To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com.

Additional Details:

• This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks, and occasional meals.

• Base compensation range: $127,000 - $147,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience.

• Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.

• Applicants must be currently authorized to work in the United States on a full-time basis.

• Applicants are accepted until the position is filled.

• For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.

Recruiting Agency Notice

Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees.