1 day ago
Denver, CO, USAMid Level / Senior
Base Salary
$113k - $132k/yr
Responsibilities
- Design, build, and orchestrate production data pipelines and dashboards using Databricks and Airflow.
- Create scalable table structures, curated datasets, and event-based data structures for analytics and downstream users.
- Partner with Decision Scientists on datasets supporting advanced modeling, machine learning, and predictive analytics.
- Own data quality, reliability, governance, automated testing, validation, anomaly detection, and change management.
- Establish CI/CD and automated testing for analytics code and pipelines.
- Build automation tools and self-service patterns that improve data access and literacy.
- Develop Claude skills and plugins to automate and accelerate engineering workflows.
- Lead complex analytical projects end to end, including milestones, prioritization, and delivery.
- Monitor, maintain, and modernize existing data services.
- Represent data engineering best practices and mentor associate engineers.
Requirements
- 3–5 years of experience in analytics engineering, data engineering, or a highly technical analytics or BI role.
- Bachelor’s degree in Computer Science, Engineering, Analytics, Statistics, Economics, or a related field.
- Expert-level SQL and proficient Python, with experience building production-grade pipelines and automation.
- Experience with Databricks, DABs, Spark, cluster configuration, and large-scale data-processing optimization.
- Understanding of ETL/ELT patterns, Airflow, dbt, and cloud data warehouses.
- Experience with automated testing, CI/CD, GitHub Enterprise/Actions, data validation, and anomaly detection.
- Proficiency with Looker, LookML, Claude, Cursor, Copilot, and Databricks Genie.
- Ability to translate ambiguous business problems into technical data solutions and bridge technical and business stakeholders.
- Ability to establish self-service patterns, set standards, and manage cross-functional priorities.
- Strong communication, independent time management, multitasking, continuous learning, and technical collaboration skills.
Benefits
- Denver, Colorado hybrid work arrangement requiring three days in the office on Tuesday, Wednesday, and Thursday.
- Candidates must live in the United States; relocation bonus available for candidates moving to Denver.
- Competitive pay, flexible time off, medical, dental, and vision benefits.
- Employee Stock Purchase Program and 401k match.
- Denver office perks include paid parking, snacks, and occasional meals.
Tech Stack
Categories
Data Engineering
About Ibotta
Ibotta builds a performance marketing platform that delivers digital cash-back promotions for brands through the Ibotta Performance Network of publishers. Brands pay only when promotions drive verified sales, and shoppers earn rewards on online and in-store purchases. Founded in 2012 and headquartered in Denver, Ibotta is publicly traded on the NYSE under the ticker IBTA.