Data Analytics Engineer Jobs in Colorado
Data Analytics Engineer jobs in Colorado are concentrated in the technology, aerospace, financial services, and healthcare sectors, with demand at every level from early-career to principal and staff engineer. Denver, Boulder, and Colorado Springs are the primary hiring metros, home to established employers such as Lockheed Martin, Dish Network, and UCHealth that maintain consistent data engineering teams. Pipeline architecture, dbt and Airflow expertise, and cloud platform fluency on AWS or Azure are the most sought-after specialties across Colorado listings. See the openings below and apply to the ones that match your experience.
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INTRODUCTION
Are you passionate about making a difference in people's lives? Do you enjoy working in a service-oriented industry? If so, this opportunity may be the right fit for you!
The Vice President, Data, Reporting & Analytics leads the development and delivery of data, reporting, and analytics capabilities for Personal Care Services (PCS). This leader oversees the integration of operational, clinical, workforce, financial, payor, and enterprise data to establish reliable, governed information that supports business performance and decision-making.
Working closely with enterprise IT, Information Security, Finance, Operations, Compliance, and system owners, this role drives the PCS data strategy, integration roadmap, reporting architecture, business intelligence, and analytics capabilities to improve operational efficiency, financial performance, and strategic decision-making.
ROLE AND RESPONSIBILITIES
You will...
PCS Data, Reporting & Analytics Strategy
- Develop and execute the overall strategy for Personal Care Services (PCS) data analytics and reporting.
- Collaborate with executive leadership to align data initiatives with business goals and objectives.
- Foster a data-driven culture within the organization, promoting the use of data in decision making processes.
- Oversee the development and implementation of data governance policies and procedures.
- Ensure data integrity, accuracy, and security across all data sources and systems.
- Manage data integration, warehousing, and ETL processes to support analytics and reporting needs.
- Lead the design, development, and maintenance of business intelligence and reporting solutions.
- Provide actionable insights and recommendations to support business strategies and operations.
- Develop key performance indicators (KPIs) and dashboards to monitor and measure business performance.
- Collaborate with cross-functional teams to understand their data needs and deliver relevant solutions.
- Present findings and recommendations to senior leadership and other stakeholders.
- Act as a trusted advisor on data-related matters, providing expertise and guidance.
- Stay current with industry trends, emerging technologies, and best practices in data analytics and reporting.
- Drive the adoption of advanced analytics tools and technologies to enhance capabilities.
- Evaluate and implement new technologies and platforms to support the evolving needs of the organization.
- May lead projects and perform other duties as assigned.
- Occasional business travel may be required.
Supervisory Responsibilities
- Determine appropriate resourcing of staff in order to achieve goals and objectives.
- Build an effective senior leadership team through mentoring and formal education that focuses on management and project management principles.
- Define annual Key Performance Indicators aligned with corporate goals.
- Direct and mentor senior leaders on performance gaps, career development opportunities, and strategies.
- Direct and coach senior leaders on all human resource related processes including onboarding, performance management, succession planning, employee relations, selection, terminations, compensation and rewards.
- Accountable for strategic design, execution, and collective results along with others’ successful contributions.
- Own attainment of high employee satisfaction and retention; lead development of program and initiatives within group to attain high employee satisfaction.
- Direct and influence change management initiatives to drive improvements and efficiencies cross-functionally.
- Ability to direct and interact collaboratively and communicate effectively with external, internal customers, and stakeholders to address issues and ensure alignment across the organization to drive customer success.
- Prepare and manage budgets as assigned; analyze variances and initiate corrective actions to maximize operational performance.
BASIC QUALIFICATIONS
We are excited to speak to someone with...
- Bachelor's degree in Data Science, Computer Science, Statistics, Business Administration, or a related field required, Master's Degree preferred.
- Fifteen (15) plus years of experience in data analytics, business intelligence, or a related field.
- Ten (10) plus years leadership responsibility leading teams.
- Proven track record of developing and executing data analytics strategies that drive business results.
- Strong leadership and team management skills, with the ability to inspire and motivate a diverse team.
- Expertise in data governance, data management, and data integration.
- Proficiency with data analytics tools and technologies (e.g., SQL, Python, R, Tableau, Power BI).
- Excellent communication and presentation skills, with the ability to convey complex information to non-technical stakeholders.
- Strong problem-solving and critical-thinking abilities.
- Experience in the healthcare industry is highly desirable.
COMPENSATION
- Salary: $202,300 - $250,000
This role is bonus eligible based on individual and company performance.
The physical demands described are representative of those that must be met by an employee to successfully perform the essential functions of the position. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the job.
Primarily seated work; extensive computer and telephone use; occasional standing, walking, reaching, bending, and lifting up to 10 lbs.
Modivcare’s positions are posted and open for applications for a minimum of 5 days. Positions may be posted for a maximum of 45 days dependent on the type of role, the number of roles, and the number of applications received. We encourage our prospective candidates to submit their application(s) expediently so as not to miss out on our opportunities. We frequently post new opportunities and encourage prospective candidates to check back often for new postings.
BENEFITS
We value our team members and realize the importance of benefits for you and your family.
Modivcare offers a comprehensive benefits package to include the following:
- Medical, Dental, and Vision insurance
- Employer Paid Basic Life Insurance and AD&D
- Voluntary Life Insurance (Employee/Spouse/Child)
- Health Care and Dependent Care Flexible Spending Accounts
- Pre-Tax and Post-Tax Commuter and Parking Benefits
- 401(k) Retirement Savings Plan with Company Match
- Paid Time Off
- Paid Parental Leave
- Short-Term and Long-Term Disability
- Tuition Reimbursement
- Employee Discounts (retail, hotel, food, restaurants, car rental and much more!)
Modivcare is an Equal Opportunity Employer.
EEO is The Law - click here for more information
Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled
We consider all applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, handicap or disability, or status as a Vietnam-era or special disabled veteran in accordance with federal law. If you need assistance, please reach out to us at hr.recruiting@modivcare.com
See All 24 Data Analytics Engineer Jobs in Colorado
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Find Data Analytics Engineer JobsData Analytics Engineer Jobs by City in Colorado
Where Colorado roles are concentrated, by current openings.
Data Analytics Engineer Job Market in Colorado
A snapshot from current Colorado openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Healthcare & Medical Services
- Investment & Asset Management
What Colorado Employers Look For
The qualifications that appear most often in data analytics engineer jobs across Colorado.
- Bachelor's degree in computer science, data science, information systems, or a related field
- Proficiency in SQL and at least one scripting language such as Python or Scala
- Hands-on experience building and maintaining data pipelines using tools like dbt or Airflow
- Familiarity with cloud data platforms such as AWS Redshift, Azure Synapse, or Google BigQuery
- Experience designing dimensional data models and working within modern ELT or ETL frameworks
- Strong collaboration skills working with data analysts, scientists, and business stakeholders
Data Analytics Engineer Jobs in Colorado: Frequently Asked Questions
How do you become a data analytics engineer in Colorado?
Data analytics engineer is not a state-licensed role in Colorado, so there is no board exam or registration required to work in the field. Most Colorado employers expect a bachelor's degree in computer science, data science, or a related discipline, along with demonstrated experience building data pipelines and working with cloud platforms. A portfolio of projects, relevant certifications such as AWS Certified Data Engineer or dbt Analytics Engineering Certification, and exposure to Colorado's dominant industries, including aerospace, healthcare, and technology, strengthen a candidacy considerably.
How much do data analytics engineers make in Colorado?
Data analytics engineers in Colorado earn a median of about $117,400 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $74,470 for the lowest 10% to over $189,630 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data analytics engineers in Colorado?
Employers hiring data analytics engineers in Colorado right now include Xometry, True Anomaly, and Ott, based on current listings on Migrate Mate as of November 2026. Colorado's mix of large aerospace contractors, regional health systems, and a dense technology startup corridor along the Front Range means consistent demand across employer types and sizes.
Which Colorado cities have the most data analytics engineer jobs?
Denver, Boulder, and Littleton have the most data analytics engineer openings in Colorado. Denver anchors the market through its concentration of technology companies, financial services firms, and corporate headquarters, while Boulder's research and startup ecosystem and Colorado Springs' significant defense and aerospace contractor presence drive demand in those metros.
Are there remote data analytics engineer jobs in Colorado?
Yes, and more than most fields, because data analytics engineering is inherently desk-based work that requires only cloud access and collaboration tools. About 75% of data analytics engineer openings tied to Colorado are remote or hybrid as of November 2026, reflecting how broadly the role has been adopted as location-flexible. Pipeline development, data modeling, and analytics infrastructure tasks are the parts of the role most consistently offered as fully remote.
How can I get hired as a data analytics engineer in Colorado with little or no experience?
The most realistic entry path is transitioning from an adjacent role such as data analyst, business intelligence developer, or software engineer, where you can demonstrate pipeline or SQL work from real projects. Large Colorado employers including UCHealth and Lockheed Martin run structured early-career and associate programs that place candidates without dedicated data engineering experience into junior roles. Building a portfolio that shows end-to-end pipeline work using open datasets, earning an entry-level cloud certification, and targeting analyst-to-engineer conversion roles at Colorado technology companies are the steps that move a resume past the screening stage.
Where can I find and apply to data analytics engineer jobs in Colorado?
You can find and apply to data analytics engineer jobs in Colorado on Migrate Mate, which lists current openings tied to Colorado employers and locations. Search the listings to find roles that fit your experience level and technical stack, then apply directly to the ones that match. No signup is required to see or apply to the openings.
See All 24 Data Analytics Engineer Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
Find Data Analytics Engineer Jobs