Ibotta Analytics Engineer at Ibotta responsible for designing and building production data pipelines and dashboards. Leads data quality, automation, and integration of AI into engineering workflows.
Responsibilities
Design, build, and orchestrate production data pipelines and dashboards using Databricks and Airflow
Organize and optimize complex data environment with scalable table structures and curated datasets
Partner with Decision Scientists to design datasets for modeling, machine learning, and predictive analytics
Architect and document event-based data structures in the data lake
Own data quality, reliability, and governance including automated testing and anomaly detection
Stand up CI/CD and automated testing for analytics code and pipelines
Build and maintain automation tools and self-service patterns to democratize data access
Integrate AI into engineering workflows with Claude skills and plugins
Lead large analytical projects end to end and provide milestone updates
Monitor, maintain, and modernize existing data services
Represent data best practices and mentor associate engineers
Qualification
Bachelor’s degree in Computer ScienceExpert-level SQLProficient Python
Required
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 related field
Expert-level SQL
Proficient Python
Hands-on experience building production grade pipelines and automation
Experience with Databricks and Spark including cluster configuration
