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Analytics Engineer Jobs in Boulder, CO (NOW HIRING)

Angi

Principal Analytics Engineer

Denver, CO · Remote

$165K - $240K/yr

As a Principal leader, you will be the connective tissue across data engineering, analytics, and product teams--architecting pipelines, semantic layers, and quality practices so they work as a ...

US Bank

Infrastructure Data Analytics Engineer

Denver, CO

$117K - $141K/yr

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This ...

Five and Fly

Analytics Engineering Intern

Denver, CO · On-site +1

$17.25 - $22.50/hr

Analytics Engineering Intern Employment Type: Full Time Location: Remote Description We are looking for an Analytics Engineering Intern who is eager to learn and passionate about transforming ...

Five and Fly, LLC.

Analytics Engineering Intern

Denver, CO

$17.25 - $22.50/hr

We are looking for an Analytics Engineering Intern who is eager to learn and passionate about transforming information into actionable insights. This role is ideal for students with curiosity for ...

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Analytics Engineer information

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What are the key skills and qualifications needed to thrive as an analytics engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary by experience, location, and industry. They often have skills in SQL, data modeling, and tools like Python or Spark, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

What are the most commonly searched types of Analytics Engineer jobs in Boulder, CO?

The most popular types of Analytics Engineer jobs in Boulder, CO are:

What are popular job titles related to Analytics Engineer jobs in Boulder, CO?

For Analytics Engineer jobs in Boulder, CO, the most frequently searched job titles are:

What job categories do people searching Analytics Engineer jobs in Boulder, CO look for?

The top searched job categories for Analytics Engineer jobs in Boulder, CO are:

What cities near Boulder, CO are hiring for Analytics Engineer jobs?

Cities near Boulder, CO with the most Analytics Engineer job openings:

Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Boulder, CO as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Analytics Engineer, Product Analytics

Denver, CO • On-site

Ibotta, Inc
Internet and IT • 501 - 1,000 employees
Learn more about Ibotta, Incexternal

Full-time

Medical, Dental, Vision, Retirement

Posted 22 days ago

Job description

Ibotta is seeking an Analytics Engineer to join our Product Analytics team and contribute to our mission to Make Every Purchase Rewarding. This includes building scalable data pipelines and the data foundations that power product decisions across consumer products, client surfaces, and semantic layers, enabling the business to drive decisions using data.
As an Analytics Engineer, you will use the latest developments in data ETL, support strategy development, build practical automation and tooling, and help maintain the data foundations Product Analytics relies on. Data is considered a strategic asset here at Ibotta. In this role, you'll have a direct impact by making data available and reliable for Decision Scientists and Data Scientists to provide advanced analytics, models, and analyses to their business stakeholders.
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:
  • Collaborating cross-functionally with Decision Scientists to aggregate and normalize datasets for analysis
  • Partnering and collaborating with other data related teams, including engineering, data engineering, analytics engineering, and decision science, to represent data needs and best practices through the data development, validation, and managed process
  • Proactively incorporating the knowledge of how Decision Science solutions meet end customer needs into data preparation design and decisions
  • Identifying, validating, documenting, and testing events-based data for business utility in the data lake to help answer strategic questions
  • Understanding business logic to help document, test, and maintain datasets
  • Developing data sets with data quality principles in mind; creating standards and change management principles for events used in analytics workflows to ensure reliability
  • Deploying and maintaining data pipelines using Airflow (with growing exposure to Databricks Asset Bundles/DABs as the team migrates), and supporting CI/CD and automated testing (GitHub Actions) to keep pipelines reliable
  • Building UI and automation tools to enable data democratization throughout the company
  • Building automated alerting and anomaly detection (e.g., Monte Carlo or similar tooling) into data flows to catch issues early
  • Owning multiple projects end to end, partnering with the Sr. Analytics Engineer on larger initiatives, and developing solutions that minimize technical debt creation
  • Exploring tooling supported by AI (e.g., Claude skills and plugins) to improve day to day engineering workflows
  • 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 role supporting an analytics team, or equivalent experience as an analytics engineer or BI developer
  • Bachelor's degree in Computer Science, Engineering, Analytics, Statistics, Economics, or a related field required
  • An ability to develop solutions by applying data quality principles, including schema validation and data contracts
  • Proven experience with Python and SQL, including building and maintaining production data pipelines (Databricks or similar cloud data warehouse experience a plus)
  • 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, including supporting CI/CD (GitHub Actions) and automated testing
  • Ownership of data throughout its lifecycle, including rollup and aggregation tables built from tracking and business events
  • Track record of successfully managing and updating cluster configurations to ensure workflow operation; familiarity with Airflow and growing platforms like Databricks Asset Bundles (DABs) a plus
  • Extensive experience with ETLing data; familiarity with Looker/LookML and development tooling supported by AI (e.g., Claude, Copilot) a plus

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: $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 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.

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