Analytics Engineer, Core Data & Analytics

Ibotta is seeking an Analytics Engineer, Core Data & Analytics to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. You will be responsible for using the latest developments in ETL and ELT for providing the organization trusted and curated datasets used as the foundation of critical data products. Our analytics engineers work across our full technology stack (Databricks, Spark, Airflow, GitHub, Python, Monte Carlo, etc) for developing and maintaining these datasets.

This position is located in Denver, Colorado as a hybrid position requiring 3 days in office. The specified high value hybrid days are Tuesday, Wednesday, and Thursday. Candidates must live in the United States.

What you will be doing:

• Be an Ibotta Data Ninja, helping us organize and optimize our data for analysis

• Collaborate cross-functionally with decision scientists to aggregate, optimize, and productionalize foundational datasets for analysis

• Partner with other data related teams including engineering, data engineering, analytics engineering and data science to represent data requirements and best practices through the data development, validation, and management process

• Identify, validate, document, and UAT event-based data for business use across the organization

• Understand the underlying dataset business business logic to help document, test, and maintain valuable products

• Develop datasets with our defined business and technical standards to ensure reliability, trustworthiness, etc; eg - Include automated altering and anomaly detection into data flow

• Own multiple mid-sized projects end-to-end with input and or requirements provided by peers and stakeholders

• Guide cross-functional stakeholders through the optimization and productionalization of domain specific datasets

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

What we are looking for:

• 3+ years of practical work experience in a data engineering role supporting an analytics team or equivalent experience as an analytics engineer or BI developer

• Bachelor’s degree in Computer Science, Engineering, Analytics or a related field required

• Proficiency with some or all of:

  • End-to-end data pipelines and ETL/ELT processes and tools (AWS Glue, DBT, etc.)

  • AWS EcoSystem and cloud-based data warehouse and architecture

  • Airflow, DataBricks, Git, Monte Carlo

  • Multiple languages and frameworks (Python, Scala, strong SQL, Spark) highly preferred

  • Development in a modern BI/data visualization platform (Looker, Tableau, etc.)

  • Event-driven architectures and platforms a strong plus

• Experience identifying and troubleshooting data anomalies and pipeline issues

• Proven track record managing and updating cluster configurations to ensure workflow operation

• Demonstrated ownership of data throughout its lifecycle and collaboration with SMEs to understand the business context of the data

Here are some of the traits that we seek in great analytics engineers:

You…

• are proactive, collaborative and driven to solve hard problems while respecting diverse perspectives in a dynamic, fast-paced environment

• are an intellectually curious, conceptual thinker who uses creative problem-solving skills to work with other engineers and analytics stakeholders to challenge yourself and develop as an engineer

• are a detailed-oriented team player with an ownership mindset who develops technical solutions that apply data quality principles

• work collaboratively throughout the organization to drive towards common goals and understand the business context of data

• understand that delivering products incrementally helps provide more value to the business and testing your code is one of the most important aspects of engineering

• trust your teammates, and embrace healthy conflict and debate - not afraid to voice your opinions but okay with not always being right