Analytics Engineer, Feature Engineering

Ibotta•Denver, CO

2d•$113,000 - $132,000•Hybrid

About The Position

Ibotta is seeking an Analytics Engineer, Feature Engineering to join our innovative Core Data & Analytics team and contribute to our mission to Make Every Purchase Rewarding. Our growing Core Data & Analytics team provides high-quality, on-time analytics products and services across all business areas and teams within Ibotta. We achieve this by offering expert guidance, sharing specialized knowledge, promoting data-driven solutions, and overseeing mission-critical data science projects that impact the entire organization. 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.

Requirements

3+ years of practical work experience in a data engineering, machine learning or equivalent experience as an analytics engineer
Bachelor’s degree in Computer Science, Engineering, Analytics, or a related field required
Working knowledge and some practical experience with some or all of the following:
End-to-end analytics automation, data pipelines, 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, Command Line) highly preferred
Development in a modern BI/data visualization platform (Looker, Tableau, etc.)
Event-driven architectures and platforms are a strong plus
An ability to develop solutions by applying data quality principles
Ability to think creatively, provide thoughtful insights, and solve problems to answer business questions using data
Collaboration with SMEs to understand the business context of the data
Experience identifying and troubleshooting data anomalies and pipeline issues
Exposure to managing and updating cluster configurations to ensure workflow operation
Ownership of data throughout its lifecycle
Excellent oral and written communication skills

Responsibilities

Collaborate with data scientists to identify and extract relevant features from raw data
Preprocess and transform data to make it suitable for machine learning models
Create new features by combining, modifying, or aggregating existing features
Evaluate the quality of features and assess their impact on model performance
Monitor feature drift and update features over time to maintain model performance
Keep up with the latest advancements in feature engineering techniques and tools.
Implement and utilize engineering best practices and methods to deploy and maintain quality, curated data sets using Airflow, including automated alerting and anomaly detection into data flows to ensure data quality and integrity
Optimize pipeline performance for real-time or near-real-time model execution
Work across our full technology stack (Databricks, Spark, Command Line, Airflow, GitHub, Python, Monte Carlo, etc) to develop and maintain these datasets
Managing new data requirements and developing solutions that minimize technical debt creation
Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere