Ibotta is seeking an Analytics Engineer to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. In this role, you will transform raw data into a strategic asset, designing and building the production pipelines, curated datasets, and automation that power our Decision Science, Business Intelligence, and Client & Publisher Analytics teams. You will lead by example as an individual contributor, setting the standard for data quality and engineering best practices while turning complex data into actionable insights for our clients and the business.
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 and dashboards using Databricks and Airflow to automate analytical processes
- Organize and optimize Ibotta’s complex data environment, designing scalable table structures and curated datasets for downstream users in Decision Science and Business Intelligence
- Partner with Decision Scientists to design, aggregate, and normalize robust datasets for advanced modeling, machine learning, and predictive analytics
- Architect and document event-based data structures in the data lake to answer critical, high-impact business questions
- Own data quality, reliability, and governance, including automated testing, validation, anomaly detection, and change management standards for analytics workflows
- Stand up CI/CD (GitHub Actions) and automated testing for analytics code and pipelines
- Build and maintain automation tools and self-service patterns that democratize data access and foster data literacy across the organization
- Integrate AI into engineering workflows, building Claude skills and plugins that automate, standardize, and accelerate the team’s day-to-day work
- Lead large, complex analytical projects end to end, delivering high-quality work, providing milestone updates, and prioritizing efficiently
- Monitor, maintain, and modernize existing data services
- Represent data best practices across Engineering and Decision Science, and mentor associate engineers to foster a culture of technical excellence
- Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere
What we are looking for:
- 3–5 years of experience in analytics engineering, data engineering, or a highly technical analytics/BI role
- Bachelor’s degree in Computer Science, Engineering, Analytics, Statistics, Economics, or a related field required
- Expert-level SQL and proficient Python, with hands-on experience building production grade pipelines and automation
- Experience with Databricks (including DABs) and Spark, including cluster configuration and optimizing large-scale data processing
- Understanding of ETL/ELT patterns and modern data stack tools such as Airflow, dbt, and cloud data warehouses
- A “test-driven” approach to data development, with demonstrated practice in automated testing, CI/CD (GitHub Enterprise/Actions), data validation, and anomaly detection
- Proficiency with Looker/LookML and AI-assisted tooling (Claude, Cursor, Copilot, Databricks Genie)
- A proven track record of translating ambiguous business problems into technical data solutions, acting as a bridge between technical teams and business stakeholders
- Proven ability to establish self-service patterns, set standards, and manage cross-functional priorities in an Agile environment
- A growth mindset grounded in clear communication, continuous learning, iterative product delivery, and healthy technical debate
- Independent self-starter who can successfully manage your own time and multitask
About Ibotta ("I bought a...")
Ibotta (NYSE: IBTA) is a leading performance marketing…