drjobs Analytics Engineer, Feature Engineering

Analytics Engineer, Feature Engineering

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1 Vacancy
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Job Location drjobs

Denver, CO - USA

Monthly Salary drjobs

$ 111000 - 127000

Vacancy

1 Vacancy

Job Description

Ibotta is seeking an Analytics Engineer Feature Engineering to join our innovative 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.

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 Ibottas 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

  • Bachelors 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:

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

About Ibotta (I bought a...)

Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy and where and how often they shop all while paying only when their campaigns directly result in a sale. American shoppers have earned over $1.8 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado Ibotta is headquartered in Denver and is continually listed as a top place to work by The Denver Post and Inc. Magazine.

To learn more about what our Tech teams are doing day to day visit Building Ibotta on .

Additional Details:

Recruiting Agency Notice

Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees.

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Employment Type

Full-Time

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