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Remote Analytics Engineer Jobs in Colorado (NOW HIRING)

Jefferson Center

Senior Analytics Engineer

Wheat Ridge, CO · On-site +1

$94K - $116K/hr

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 ...

Five and Fly

Analytics Engineering Intern

Denver, CO · On-site +1

$17.25 - $22.50/hr

Remote Description 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 ...

Ursa Major

Staff GNC Analysis Engineer

Berthoud, CO · On-site +1

$135K - $170K/yr

This position is available to work remote from within the United States or on-site/hybrid in ... test engineers * Document designs, analyses, and test results for internal and external ...

Horizontal Talent

CJA Consultant

Denver, CO · Remote

$31 - $64/hr

This remote opportunity is ideal for someone who thrives in a fast-paced agency environment and ... Partner with clients, analytics engineers, and developers to design and support Adobe Analytics and ...

Revolutional, LLC

Full Stack Engineer

Denver, CO · Remote

$110/hr

Remote Terms: Full-time Salary Range: $110-160k DOE Clearance: Qualified candidates must be US ... Conduct software analysis, programming, testing, and debugging activities. * Analyze user ...

Revolutional, LLC

Senior Full Stack Engineer

Denver, CO · Remote

$130K - $185K/yr

Remote Terms: Full-time Salary Range: $130K-185k DOE Clearance: Qualified candidates must be US ... Conduct software analysis, programming, testing, and debugging activities. * Analyze user ...

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Remote Analytics Engineer information

What is a remote analytics engineer?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive as a remote analytics engineer?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

What are the main challenges faced by remote analytics engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.

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 Remote Analytics Engineer jobs in Colorado?

For Remote Analytics Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Remote Analytics Engineer jobs in Colorado look for?

The top searched job categories for Remote Analytics Engineer jobs in Colorado are:

What cities in Colorado are hiring for Remote Analytics Engineer jobs?

Cities in Colorado with the most Remote Analytics Engineer job openings:

Remote Analytics Engineer jobs near you
Infographic showing various Remote 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.

Senior Analytics Engineer

Wheat Ridge, CO • On-site, Remote

Jefferson Center
See more jobs at Jefferson Centerexternal

$94K - $116K/hr

Full-time

Posted 6 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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