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Analytics Engineer Remote Dbt 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 ... Experience with Azure Data Factory, Microsoft Fabric, dbt, Snowflake, Databricks, AzureML, REST ...

New

Cisco

Senior Software Engineer (Remote)

Boulder, CO · Remote

$127K - $167K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Knowledge of production monitoring, incident response, postmortems, and root cause analysis.

Cisco

Senior Software Engineer (Remote)

Denver, CO · Remote

$126K - $166K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Knowledge of production monitoring, incident response, postmortems, and root cause analysis.

Fluid Consulting Services

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Our client is looking for a Data Engineer to overhaul and expand the systems that power analytics ... Support DBT development and CI/CD practices * Tune BigQuery performance and manage access/security ...

Fluid Consulting Services

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Our client is looking for a Data Engineer to overhaul and expand the systems that power analytics ... Support DBT development and CI/CD practices * Tune BigQuery performance and manage access/security ...

Fivetran

Staff Software Engineer, Metadata

Denver, CO · Remote

... dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed ... This is a full-time, remote position. We do expect the successful candidate to come to the Denver ...

Modivcare, Inc.

Cloud Data Warehouse Engineer III

Denver, CO · Remote

$57.50 - $76.75/hr

... self-service analytics, operational applications, and AI initiatives. * Implement dbt best ... Work effectively with remote and offshore teams to deliver data platform initiatives. We are ...

DSC Resources

Sr Java Software Engineer

Denver, CO · Remote

$130K - $152K/yr

Senior Java Software Engineer Remote -- US-Based Only Must be a US Citizen or Green Card holder due ... Analyze complex technical challenges and recommend scalable solutions. * Mentor team members and ...

DSC Resources

Senior Java Software Engineer

Denver, CO · Remote

$130K - $152K/yr

Senior Java Software Engineer Remote -- US-Based Only Must be a US Citizen or Green Card holder due ... Analyze complex technical challenges and recommend scalable solutions. * Mentor team members and ...

Quanta Services

VDC Engineer - Remote

Aurora, CO · On-site +1

The VDC Engineer supports electrical construction projects by bridging the gap between BIM VDC ... Analytical mindset with strong attention to detail. * Experience with cloud-based collaboration ...

New

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 ...

DSC Resources

Principal Software Engineer

Denver, CO · Remote

$150K - $210K/yr

Net Software Engineer Remote - US-Based Only No visa sponsorship | No third-party agencies ** Must ... Analyze complex challenges and deliver broad-reaching, scalable solutions that improve system ...

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Analytics Engineer Remote Dbt information

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis by building robust and scalable data models, often using tools like dbt (data build tool). In a remote setting, they are responsible for transforming raw data into well-structured datasets that analysts and business users can trust, collaborating with teams via digital communication tools. Their work includes writing SQL code, maintaining data pipelines, documenting data models, and ensuring data quality and consistency. Using dbt, Analytics Engineers automate and manage data transformations, making it easier for organizations to analyze their data efficiently.

How does an analytics engineer working remotely with dbt typically collaborate with data analysts and other stakeholders?

Remote Analytics Engineers utilizing dbt often collaborate closely with data analysts, data scientists, and business stakeholders through virtual meetings, shared documentation, and version-controlled code repositories. They translate business requirements into data models, ensure data quality, and maintain data transformation pipelines. Regular syncs and agile ceremonies, like sprint planning and retrospectives, help keep communication clear and priorities aligned, while tools like Slack, Jira, and GitHub streamline collaboration across distributed teams.

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

To excel as a Remote Analytics Engineer focusing on dbt, you need strong SQL skills, data modeling expertise, and a background in analytics or computer science. Proficiency in dbt (data build tool), cloud data warehouses like Snowflake or BigQuery, and experience with version control systems such as Git are typically required. Outstanding problem-solving, communication, and collaboration skills make candidates stand out in remote and cross-functional environments. These competencies ensure efficient data pipeline development, reliable analytics solutions, and effective teamwork, which are crucial for delivering high-quality insights remotely.

What is the difference between Analytics Engineer Remote Dbt vs Data Engineer?

AspectAnalytics Engineer Remote DbtData Engineer
CredentialsSQL, Python, cloud platforms, Dbt certificationsSQL, Python, cloud platforms, data architecture certifications
Work EnvironmentRemote, collaborative with data teams, focus on analytics and data modelingOn-site or remote, infrastructure and pipeline development, focus on data systems
Industry UsageTech, finance, e-commerce, marketingTech, finance, healthcare, telecom

Analytics Engineer Remote Dbt professionals focus on building and maintaining data models using tools like Dbt, primarily supporting analytics and business insights. Data Engineers develop and manage data pipelines and infrastructure, often working on larger data systems. While both roles require SQL and cloud experience, Analytics Engineers emphasize data modeling and analytics, whereas Data Engineers focus on data architecture and pipeline development.

What are popular job titles related to Analytics Engineer Remote Dbt jobs in Colorado?

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

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

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

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

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

Analytics Engineer Remote Dbt jobs near you

Senior Analytics Engineer

Jefferson Center

Wheat Ridge, CO • On-site, Remote

$94K - $116K/hr

Full-time

Posted 3 days ago

New

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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