Six Figure Work

Data Engineer

Ibotta

Company websiteibotta.com (Ibotta, opens in new tab)

Base salary $110K  to $126K

Employer-published annual base salary, USD. Advertised base range in United States

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  • LocationUnited States
  • WorkplaceHybrid
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

Ibotta is looking for a software-focused Data Engineer to join our team and contribute to our mission to Make Every Purchase Rewarding. You will join our Publisher Data Platform (PDP) team to build the infrastructure, data marketplace, and standards that enable secure and easy data sharing with our publisher partners.

PDP delivers the scalable cloud infrastructure that powers compliant and effective use of data collected by the Ibotta Performance Network (IPN). Our team owns Ibotta's partner-facing data sharing platform (including Databricks Clean Rooms) as well as governance over data collected by the IPN. As a Data Engineer on PDP, you will develop the automated processes to provision dedicated publisher infrastructure and uphold the governance standards essential to handling IPN data.

This position is located in Denver, Colorado as a hybrid position requiring 3 days in the 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:

  • Build and maintain the Terraform that provisions our data platform, primarily Databricks on AWS.

  • Implement robust engineered controls across our data platform to ensure compliance with data governance policies.

  • Develop and support secure external data exchange capabilities utilizing Databricks Clean Rooms, AWS Clean Rooms, Delta Sharing, and Remote File Shares.

  • Automate audit evidence collection and reporting to ensure seamless InfoSec, legal, and third-party compliance reviews.

  • Identify, design, and implement improvements to how the data platform runs, including automating manual processes, optimizing data delivery, and designing infrastructure for reliability and performance.

  • Perform incident resolution, manage workspace health monitoring, optimize cloud costs, and participate in an on-call rotation.

  • Use modern AI-assisted development thoughtfully while independently validating code, tests, system behavior, and correctness.

What we are looking for:

  • Bachelor's degree in Computer Science, Engineering, or equivalent experience.

  • 3+ years of software engineering experience with a focus on data platform engineering, external data sharing integrations, or backend development.

  • Proficiency in Python and SQL, familiarity with distributed data processing patterns, and experience operating governed data environments. Experience with Medallion Architecture (bronze/silver/gold) or similar layered data design patterns, and experience building big data pipelines that support data transformation, metadata, dependency management, and workload orchestration.

  • Experience collaborating with cross-functional engineering teams to build and maintain effective partnerships and working relationships. Proven ability to deeply understand other teams' requirements and concerns, translate them into actionable technical requirements, and collaborate with the team on project prioritization.

  • Experience provisioning and managing cloud infrastructure (AWS, GCP, or Azure) with Terraform and maintaining reusable deployment modules.

  • Hands-on experience with AWS and Databricks; practical experience with Databricks Asset Bundles (DABs) is highly preferred.

  • Understanding of tenant isolation, clean rooms, data privacy, and compliance requirements in a cloud context, with a passion for building secure-by-default systems.

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 $2.6 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 Medium.com

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: $110,000 - $126,000. 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 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.

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

Source: Ibotta on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($110,000) is above 2% of the 41 Data & ML roles in Colorado listed on this site. Their median floor is $150,000; the middle half runs from $140,000 to $175,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live Ibotta roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Ibotta roles with the nearest advertised base floor
RolePublished base
Data Engineer (this listing)$110K - $126K
Government Affairs Manager$110K - $125K
Stock Plan Administration Specialist$100K - $115K
Senior Product Manager, Advertiser Self-Service$128K - $153K
Staff Decision Scientist$128K - $151K
Senior Product Manager, Retail Publisher Partnerships$128K - $153K
Senior Product Manager, Buy-side Integrations$128K - $153K

Same $100K to $400K scale as every card. All Ibotta roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-23
Where this pay comes from

Location as the employer wrote it: Hybrid - Denver

- Base compensation range: $110,000 - $126,000. Equity is included in overall compensation package. This c

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.