Senior Data Engineer

Ibotta is looking for a Senior Data Engineer to accelerate development of our cutting-edge data platform. As a leader in the Data Platform Organization, you will work with both engineering and analytics to develop and own stable, scalable, and approachable data platforms. We're looking for a self-motivated engineer who has a passion for enabling data mesh concepts while heavily leveraging AWS cloud and Databricks tools. The data engineering team is central to delivering and maintaining our modern data, analytics, and decisioning platforms across Ibotta.

This position is located in Denver, Colorado or with the option of full-time remote. Candidates must live in the United States.

What you will be doing:

• Work with cross-functional engineering teams to enable approachable and self-service data movement and access patterns

• Be a leader in the engineering of distributed systems, frameworks, and design patterns supporting the usage of Ibotta’s Data Lake

• Use Scala, Java, or Python to utilize Hadoop/Spark to collect and manage data at scale

• Build, monitor, and maintain data ETL pipelines

• Help manage and automate Data Governance and Data Security Standards

• Administer and maintain our data infrastructure

• Mentor junior data engineers in data principles and best practices

• Evangelize Data Engineering and supporting capabilities with Platform and Analytics teams

What we are looking for:

• Bachelor’s degree in Computer Science, Engineering or a related field or equivalent work experience

• 5+ years of experience in software development, preferably with Scala, Java, or Python

• Preferred experience building/implementing data pipelines using DataBricks

• Proven expertise in leading data projects from ideation to implementation

• Experience with event-driven architecture design patterns and practices

• Experience in database design and architecture principles supported by strong SQL abilities

• Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management

• Experience in assessing technologies and approaches for ingestion, transformation and storage

About Us:

Built in Denver, CO, Ibotta, Inc. ("I bought a...") is a free mobile shopping app that gives users

cash back on groceries and more. Through our partnerships with brands and retailers like Procter & Gamble, Kraft Heinz, Kellogg, Amazon, Walmart, Target and Uber, we’ve delivered over $1.25B in cumulative cash rewards to our Savers. Guided by our values and our mission to make every purchase rewarding, we come to work energized by the business problems we get to solve, the technology we get to build, and the people we get to innovate (and have fun) with.

Ibotta made Inc.’s 2020 list of the 5000 fastest-growing private companies in the U.S. for the third consecutive year. In 2019, we became the first mobile consumer technology company in

Colorado to achieve $1B in valuation.

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

Additional Details:

• This position is located in Denver, CO or with the option of full-time remote and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, 401k match, profit sharing and equity. Candidates must live in the United States. 

• Base compensation range: $140,000 - $165,000. Ibotta is an Equal Opportunity Employer. This compensation range is specific to the state of Colorado's local labor market and may vary for employees living in other areas.

• Ibotta’s employment decisions are made without regard with 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

• If living in the United States, applicants must be currently authorized to work in the United States on a full-time basis.

• For the security of our employees and the business, 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.

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