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Analytics Engineer Jobs in Boulder, CO (NOW HIRING)

Jefferson Center

Senior Analytics Engineer

Wheat Ridge, CO · On-site +1

$94K - $116K/hr

The Senior Analytics Engineer bridges data engineering, business intelligence, advanced analytics, and emerging AI capabilities. This role designs and develops trusted data products, enables self ...

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 ...

IPL (Indiana)

Senior Engineer, Analytics

Louisville, CO

AES Clean Energy (CE) is seeking a Senior Analytics Engineer to support the Operations and Maintenance (O&M) Engineering team in building the data analytics architecture to support the future growth ...

Posted today

US Bank

Infrastructure Data Analytics Engineer

Denver, CO · On-site

$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.

Senior Analytics Engineer

Jefferson Center

Wheat Ridge, CO • On-site, Remote

$94K - $116K/hr

Full-time

Posted 7 days ago

Job description

At Jefferson Center, it is our policy and our mission to be inclusive and mindful of the diversity of everyone who comes through our doors. We are passionate about building a community where mental health matters and equitable care is accessible to all races, ethnicities, abilities, socioeconomic statuses, ages, sexual orientations, gender expressions, religions, cultures, and languages.

The Senior Analytics Engineer bridges data engineering, business intelligence, advanced analytics, and emerging AI capabilities. This role designs and develops trusted data products, enables self-service reporting, prepares data for predictive modeling and AI-applications, and partners with stakeholders to turn healthcare data into actionable insights. This position can be fully remote, although occasional onsite work may be required.

Essential Duties:

Analytics Engineering & Data Architecture

  • Design, develop, and maintain analytics-ready dimensional models (star schemas, semantic layers) and curated data marts.
  • Translate business requirements into scalable, performant data structures that promote consistency across analytics solutions.
  • Establish standards and best practices for data modeling, metric definitions, performance tuning, and data governance.

Advanced Analytics & AI Enablement

  • Curate feature tables and datasets for predictive modeling, time-series forecasting, risk scoring, and population health analysis.
  • Prepare and optimize data pipelines and semantic layers for AI-driven experiences, Microsoft Fabric Copilots, and RAG/knowledge retrieval tools.
  • Integrate automated ML and forecasting outputs into enterprise data structures for downstream reporting.

Self-Service Analytics

  • Build user-friendly semantic models to support self-service analytics across Power BI, Microsoft Fabric, and modern cloud platforms.
  • Educate and coach business users on report consumption, governance standards, and analytical tools.

Business Partnership & Technical Leadership

  • Collaborate with clinical and operational leadership to identify high-value analytics opportunities and translate complex findings into business recommendations.
  • Serve as a technical SME for analytics engineering, evaluating emerging cloud and AI technologies to elevate team maturity.

Qualifications & Experience:

Education

Bachelor's degree or higher in Analytics, Computer Science, Information Systems, or related quantitative field (or equivalent practical experience).

Work Experience

  • 5+ years in Analytics Engineering, Data Engineering, or Senior BI/Data Modeling roles.
  • 3+ years in healthcare analytics. Experience with behavioral health, Medicaid, claims, or value-based care preferred.

Core Technical Skills

  • Expert-level SQL, Python, R.
  • Dimensional modeling (Kimball), star schemas, enterprise data warehouse architecture, semantic models.
  • Experience with Azure Data Factory, Microsoft Fabric, dbt, Snowflake, Databricks, AzureML, REST APIs
  • Time-series forecasting, trend analysis, exposure to Automated ML (AutoML), and predictive feature store construction.
  • Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude) for code generation, documentation, and pipeline optimization.

Note: Staff are held accountable for all duties of this job. This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job.

Salary Range: $94,100 to $116,700*

*The salary listed above includes a 10% differential for working with youth in a residential (24/7) program.

*Jefferson Center pay is based on various factors including education level, licensure level, and years of relative experience.

*The salary listed above is based on 1.0 FTE (40 hours per week). 

Application Deadline: This position will remain posted until filled. We encourage applicants to apply by 9/4/2026 for priority consideration.

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