Analytics Engineer, Feature Engineering

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. What you will be doing: 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 What we are looking for: 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 Here are some of the traits that we seek in great analytics engineers: 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 Additional Details: This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks and occasional meals. Base compensation range: $113,000 - $132,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. Applicants must be currently authorized to work in the United States on a full-time basis. Applicants are accepted until the position is filled. For the security of our employees and the bousiness, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. #J-18808-Ljbffr Ibotta, Inc.