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Senior Analytics Engineer Jobs in Colorado (NOW HIRING)

Propelus

Senior Data Analytics Engineer

Boulder, CO · On-site +1

$109K - $149K/yr

As an Analytics Engineer, you will play a crucial role in transforming raw data into actionable insights to support data-driven decision-making across the company. You will work independently on ...

Programmers.io

Lead Data Insight Analyst

Denver, CO · On-site

Looking for a senior analytics lead who can drive insights and influence decisions. Key Requirements: • Strong analytics and insight generation • SQL and Python expertise • Reporting and ...

Deloitte

GCP Cloud Analytics Engineer

Denver, CO · On-site

$57.50 - $76.75/hr

As a Sr Consultant, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and business ...

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All JobsAnalytics Engineer JobsSenior Analytics Engineer JobsSenior Analytics Engineer Jobs in Colorado

Senior Analytics Engineer information

See Colorado salary details

$62.6K

$133.1K

$193K

How much do senior analytics engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for senior analytics engineer in Colorado is $133,077.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $150,900.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior Analytics Engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in data modeling, SQL, and tools like Python or Spark, and working in high-demand industries or companies. Compensation varies based on location, company size, and individual expertise, often including bonuses and stock options.

What is a Senior Analytics Engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

What does a senior analytics engineer do?

A senior analytics engineer designs, develops, and maintains data pipelines and analytics solutions to support business decision-making. They work with large datasets, use tools like SQL, Python, or cloud platforms, and often collaborate with data scientists and business teams to ensure data accuracy and accessibility.

How much do senior analytics engineers make?

Senior analytics engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have expertise in data modeling, SQL, and analytics tools like Tableau or Looker, which can influence salary levels.

What is the difference between Senior Analytics Engineer vs Data Engineer?

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a Senior Analytics Engineer, and why are they important?

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

What engineer makes $500,000 a year?

Senior Analytics Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in data modeling, SQL, and cloud platforms, and roles in high-paying industries or companies. Such compensation often includes base salary, bonuses, and stock options, typically in senior or executive-level positions.

How does a Senior Analytics Engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.
What are the most commonly searched types of Analytics Engineer jobs in Colorado? The most popular types of Analytics Engineer jobs in Colorado are:
What are popular job titles related to Senior Analytics Engineer jobs in Colorado? For Senior Analytics Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Senior Analytics Engineer jobs in Colorado look for? The top searched job categories for Senior Analytics Engineer jobs in Colorado are:
What cities in Colorado are hiring for Senior Analytics Engineer jobs? Cities in Colorado with the most Senior Analytics Engineer job openings:
Senior Analytics Engineer jobs near you
Infographic showing various Senior Analytics Engineer job openings in Colorado as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $133,077 per year, or $64 per hour.

Senior Analytics Engineer, Product Analytics

Ibotta, Inc

Denver, CO • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 4 days ago

Job description

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.

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