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Senior Analytics Engineer Jobs in Colorado (NOW HIRING)

Senior Data Engineer

Denver, CO · On-site

$139K - $174K/yr

... a Senior Data Engineer (Analytics Engineer). You will build and maintain reliable data models ... Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented ...

Senior Data & AI Consultant

Denver, CO · On-site

$109K - $148K/yr

Senior Data & AI Consultant Position Summary We are seeking a Senior Consultant for our Data & AI ... Fabric Analytics Engineer Associate * Microsoft Certified: Azure Data Engineer Associate

As a Senior Ballistician, you will provide technical analysis results, inputs to design ... Bachelor's degree in Mechanical Engineering, Aerospace Engineering, or a related field * 4+ years ...

Senior Staff Mechanical Analysis Engineer

Golden, CO · On-site

$107K - $142K/yr

As a Senior Staff Mechanical Analyst, you will be responsible for leading and overseeing the ... Interact with mechanical engineering design team to rapidly iterate and improve designs as informed ...

Showing results 41-60

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 Sep 11, 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 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.

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 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 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 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:

Infographic showing various Senior Analytics Engineer job openings in Colorado as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $133,077 per year, or $64 per hour.

Senior Data Engineer

Denver, CO • On-site

Capital Rx
Health Care and Social Assistance • 201 - 500 employees

$139K - $174K/yr

Other

Re-posted 18 days ago


Key responsibilities

  • Build, test, and document Snowflake data models and business logic in dbt

  • Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes

  • Collaborate with cross-functional partners to define data contracts and interfaces


Job description

About Judi Health

Judi Health is a health technology company providing benefit administration solutions to employers, unions, health plans, and government entities. Judi Health replaces fragmented, outdated systems with the industry's first Unified Claims Processing architecture, seamlessly consolidating pharmacy and medical benefit administration on a single, secure platform. By delivering true price transparency, eliminating unnecessary middleman fees, and leveraging advanced AI-powered care delivery, Judi Health helps clients achieve unprecedented operational efficiency and service levels.
At Judi Health, we're deploying the infrastructure our country needs to deliver the healthcare we all deserve. We are the intelligence platform powering benefits plans for millions of Americans and proudly leading the next generation of care. To learn more, visit www.judi.health.

Position Summary:

Hybrid 3 days (office locations are New York City, Denver, and Charlotte)

Join our mission to transform pharmacy benefits and healthcare navigation as a Senior Data Engineer (Analytics Engineer). You will build and maintain reliable data models within Snowflake with dbt, and improve data quality and observability. Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented datasets that power analytics and products.

Position Responsibilities:

* Build, test, and document Snowflake data models and business logic in dbt

* Apply and improve data quality, testing, observability, and lineage standards

* Collaborate with cross-functional partners to define data contracts and interfaces

* Contribute to Capital Rx's modular data platform and client-specific data configurations

* Participate in design reviews; propose scalable, maintainable patterns

* Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes

* Optimize cost and performance of jobs, storage, and queries with guidance

* Write clear documentation and support knowledge sharing

* Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance

Preferred Qualifications:

* 5+ years in data engineering, software engineering, or related field

* Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling

* Hands-on dbt experience (models, tests, documentation, deployments)

* Experience with orchestration (Dagster or Airflow) and scheduling best practices

* Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred)

* CI/CD for data (Git-based workflows, environments), and basic IaC familiarity

* Data observability and testing (dbt tests, lineage tools)

* Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness)

* Effective communication and collaboration with technical and non-technical stakeholders

* Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories)

* Performance tuning in Snowflake (warehouse sizing, clustering, caching)

Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time.

About Judi Health

Judi Health is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. Judi Health is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Judi Health is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare.

Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

New York, NY Salary Range
$139,600—$174,500 USD
Denver, CO Salary Range
$128,000—$160,000 USD
Charlotte, NC Salary Range
$116,400—$145,500 USD

All employees are responsible for adherence to the Judi Health Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found athttps://www.judi.health/legal/privacy-policy.