Analytics Engineer Jobs in Colorado
Analytics Engineer jobs in Colorado are concentrated in Denver, Boulder, and Colorado Springs, where companies like Lockheed Martin, Palantir Technologies, and Dish Network maintain large analytics and data engineering teams. The most active specialties in Colorado listings include dbt and modern data stack development, cloud data warehouse engineering on Snowflake and BigQuery, and pipeline architecture for aerospace, telecom, and financial services clients. Colorado sits among the most active analytics engineering markets in the Mountain West, with openings at both the mid-level and senior tiers. See the openings below and apply to the ones that match your experience.
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Location
Hybrid - Denver
Employment Type
Full time
Location Type
Hybrid
Department
Technical - Engineering
Ibotta is seeking a Senior Analytics Engineer to serve as the technical backbone of our Product Analytics team in our mission to Make Every Purchase Rewarding.
In this senior, high-ownership role, you will build scalable pipelines, set engineering standards, and establish the data foundations that power product decisions across Ibotta. Operating horizontally across diverse domains; from consumer products, to client surfaces, to semantic layers; you will elevate data quality, empower decision scientists and data scientists, and enable self-service analytics at scale.
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:
Design, build, and orchestrate production data pipelines that power dashboards and automate the team's internal analytical processes; the core, front-and-center focus of this role
Manage the team's data infrastructure: Databricks Asset Bundles (DABs), Airflow, the ongoing Airflow-to-DABs migration, and other platform migrations; infra support is available, but ideally you can operate independently
Own tracking-event source-of-truth tables and build rollup tables for new tracking and business events (the team owns all tracking events; some need rollups, some are good as-is)
Implement and utilize engineering best practices and methods to provide quality curated data sets
Stand up CI/CD (GitHub Actions) and automated testing for analytics code and pipelines
Own data quality, reliability, and governance: schema validation, data contracts, anomaly detection (Monte Carlo or processes you build yourself) to catch issues early, plus PI discovery, classification, and tagging
Optimize and aggregate raw data into a consumable format for downstream users in Decision Science and Business Intelligence
Build and maintain Looker / LookML dashboards, some of which our pipelines rely on for orchestration
Set patterns and examples for a largely self-service team, and actively coach and mentor newer members on best practices and engineering standards
Manage stakeholders across the org: connect the dots, sequence competing requests, and know when to wait for readiness versus push ahead to enable the team
Collaborate with Data Engineering to streamline our ETL processes and warehouse environment
Work cross-functionally across the entire organization to democratize our data strategy and foster data literacy
Integrate AI into engineering workflows. We build Claude skills and plugins to automate, standardize, and assist our day-to-day work and enable the team to gain speed and accuracy.
Monitor, maintain, and modernize existing data services
Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere
What we are looking for:
5+ years in Analytics, Data, or Software Engineering
Bachelor’s degree in Computer Science, Analytics, Statistics, Economics or related field required
Hands-on experience building production pipelines using Python, expert SQL, Spark, Airflow, and cloud data warehouses (Databricks preferred)
Demonstrated practice with automated testing, CI/CD (GitHub Enterprise/Actions), data validation, and anomaly detection
Proven ability to establish self-service patterns, set engineering standards, mentor team members, and manage cross-functional priorities in an Agile environment
Direct proficiency across Databricks (including DABs), Looker / LookML, Airflow, and GitHub Enterprise for rapid autonom
Experience with semantic layers, data contracts, event-driven architecture, and AI-assisted tooling (Claude, Cursor, Copilot, Databricks Genie)
Exposure to product experimentation (A/B testing), decision science, or e-commerce/fintech domains
A growth mindset grounded in clear communication, continuous learning, iterative product delivery, and healthy technical debate
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: $127,000 - $147,000. 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.
See All 12 Analytics Engineer Jobs in Colorado
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Find Analytics Engineer JobsAnalytics Engineer Jobs by City in Colorado
Where Colorado roles are concentrated, by current openings.
Analytics Engineer Job Market in Colorado
A snapshot from current Colorado openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Distribution & Wholesale
- Consulting & Professional Services
What Colorado Employers Look For
The qualifications that appear most often in analytics engineer jobs across Colorado.
- Bachelor's degree in computer science, statistics, engineering, or a related analytical field
- Proficiency in SQL and at least one programming language such as Python or Scala
- Hands-on experience with dbt, Airflow, or a comparable data transformation and orchestration tool
- Experience building and maintaining pipelines on Snowflake, BigQuery, or Redshift in a cloud environment
- Ability to collaborate with data scientists, analysts, and software engineers on cross-functional teams
- Familiarity with version control using Git and experience working within agile development workflows
Analytics Engineer Jobs in Colorado: Frequently Asked Questions
How do you become a analytics engineer in Colorado?
Analytics engineering in Colorado has no state-issued license or registration requirement. Most hiring managers expect a bachelor's degree in computer science, statistics, mathematics, or a closely related field, combined with demonstrated experience in SQL, data modeling, and at least one modern data stack tool such as dbt. Colorado employers place strong weight on a portfolio of production-quality data pipelines, and industry certifications from Snowflake, dbt Labs, or Google Cloud are recognized as meaningful credentials here.
How much do analytics engineers make in Colorado?
Analytics engineers in Colorado earn a median of about $117,400 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $74,470 for the lowest 10% to over $189,630 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire analytics engineers in Colorado?
Colorado analytics engineer roles are posted by Amazon Web Services, Angi, and Ibotta and others right now, based on current listings on Migrate Mate as of September 2026. Colorado's mix of aerospace contractors, telecom firms, and a growing financial technology sector means demand comes from a wide range of industries, not just software companies.
Which Colorado cities have the most analytics engineer jobs?
Denver, Englewood, and Wheat Ridge have the most analytics engineer openings in Colorado. Denver drives the largest share given its concentration of corporate headquarters, financial services firms, and tech employers, while Boulder attracts data-focused roles tied to its research institutions and startup ecosystem, and Colorado Springs benefits from the significant defense and aerospace presence centered around Peterson Space Force Base and nearby contractors.
Are there remote analytics engineer jobs in Colorado?
Yes, and more than most fields. About 100% of analytics engineer openings tied to Colorado are remote or hybrid as of September 2026, reflecting how naturally the work fits distributed collaboration. The pipeline development and data modeling portions of the role are especially well suited to remote arrangements, while stakeholder-facing work and cross-team sprint planning tend to favor hybrid schedules at larger Colorado employers.
How can I get hired as a analytics engineer in Colorado with little or no experience?
The most realistic entry path is moving from a business intelligence analyst or data analyst role, where SQL fluency and dashboard work translate directly into analytics engineering responsibilities. Colorado's large employers in aerospace and financial services, including defense contractors along the Front Range, regularly bring on associate data engineers and offer rotational data programs for recent graduates. Building a public portfolio using dbt and a cloud warehouse on a Colorado open dataset, such as those published by the Colorado Information Marketplace, gives a candidate a concrete, local credential that stands out to hiring managers here.
Where can I find and apply to analytics engineer jobs in Colorado?
You can find and apply to analytics engineer jobs in Colorado on Migrate Mate, which lists current Colorado openings. Search the listings to find roles that fit your experience level, specialization, and preferred location or remote arrangement, then apply directly to the ones that match.
See All 12 Analytics Engineer Jobs in Colorado
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