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Insurance Data Engineer Jobs in Colorado (NOW HIRING)

UDR, Inc. is now hiring a Senior Data Platform Engineer to join our team. **This is a remote based ... Supplemental Term Life Insurance * Critical Illness Plan * Supplemental Short-Term Disability ...

UDR, Inc. is now hiring a Senior Data Platform Engineer to join our team. **This is a remote based ... Supplemental Term Life Insurance * Critical Illness Plan * Supplemental Short-Term Disability ...

UDR, Inc. is now hiring a Senior Data Platform Engineer to join our team. **This is a remote based ... Supplemental Term Life Insurance * Critical Illness Plan * Supplemental Short-Term Disability ...

Data Modeler

Aurora, CO · On-site

$55.75 - $72.25/hr

You will work closely with data engineers, analysts, and other stakeholders to ensure data is ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

Cloud Analytic Software Engineer

Aurora, CO · On-site

$61.25 - $79.50/hr

The ideal candidate is passionate about cloud computing, data analytics, and software development ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

SIMILAR CAREER TITLES Data Analyst, Machine Learning Engineer, Data Engineer, Business Intelligence ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

We are looking for a talented Data Developer to join one of our top communications partners. This ... Compensation Hourly Rate Range - $40-$60/ hr Benefits Offered: [Health, Dental, Vision Insurance ...

SIMILAR CAREER TITLES Business Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

SIMILAR CAREER TITLES Data Analyst, Machine Learning Engineer, AI Specialist, Statistician, Data ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

Senior Data Manager

Denver, CO

$69.25 - $92.75/hr

Requires strong technical and computational skills - engineering, physics, mathematics, coupled ... insurance, short-term and long-term disability plans, vacation time and holidays. Visit us at www.

Coach engineers on dimensional modeling, Data Vault, and other techniques where they best fit the ... capital markets, insurance, or a closely related domain). * Deep, hands-on expertise with ...

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Insurance Data Engineer information

How much do insurance engineers make?

Insurance data engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL can command higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What engineers make $500,000?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. High compensation is often associated with seniority, complex data systems, and working in competitive markets or large organizations.

What are Insurance Data Engineers?

Insurance Data Engineers are professionals who design, build, and maintain data systems that support the needs of insurance companies. They are responsible for collecting, organizing, and processing large amounts of data from various sources to enable accurate risk assessment, pricing, claims analysis, and regulatory compliance. Their work helps insurers make data-driven decisions, improve efficiency, and enhance customer experiences by leveraging modern data technologies.

What are the key skills and qualifications needed to thrive as an Insurance Data Engineer, and why are they important?

To thrive as an Insurance Data Engineer, you need strong expertise in data modeling, ETL processes, and a solid understanding of insurance data structures, typically supported by a degree in computer science, data engineering, or a related field. Proficiency with SQL, Python, big data platforms (like Hadoop or Spark), and experience with cloud data solutions such as AWS or Azure are commonly required, along with certifications like AWS Certified Data Analytics or Google Cloud Data Engineer. Excellent problem-solving, communication, and collaboration skills help you bridge technical and business needs while ensuring data quality. These abilities are essential for building robust data pipelines and enabling accurate data-driven decision making within insurance organizations.

What is the difference between Insurance Data Engineer vs Data Analyst in the insurance industry?

AspectInsurance Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDevelops data pipelines, manages databases, works with big data toolsInterprets data, creates reports, visualizes insights
Employer & Industry UsageInsurance companies, tech firms in insuranceInsurance firms, consulting agencies, analytics companies

Insurance Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data to provide insights. Both roles are essential in the insurance industry but serve different functions in data management and analysis.

How does an Insurance Data Engineer typically collaborate with actuarial and underwriting teams?

Insurance Data Engineers work closely with actuarial and underwriting teams to ensure that the data infrastructure supports accurate risk assessment and pricing models. They often translate business requirements from these teams into technical specifications, build data pipelines to source and clean relevant data, and assist in implementing predictive analytics tools. Regular communication and collaboration are essential, as data engineers help bridge the gap between raw data and actionable insights for decision-making. This teamwork not only streamlines workflow but also enables continuous improvement of insurance products and customer experience.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.

What engineers make 300,000 a year?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. High-level roles often involve leadership, complex data architecture, and strategic decision-making, typically in large organizations or with specialized expertise.
What are popular job titles related to Insurance Data Engineer jobs in Colorado? For Insurance Data Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Colorado look for? The top searched job categories for Insurance Data Engineer jobs in Colorado are:
What cities in Colorado are hiring for Insurance Data Engineer jobs? Cities in Colorado with the most Insurance Data Engineer job openings:
Senior Data Platform Engineer

Senior Data Platform Engineer

UDR

Highlands Ranch, CO • Remote

$130K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 20 days ago


Job description

UDR, Inc. is now hiring a Senior Data Platform Engineer to join our team.

**This is a remote based position.**

GENERAL SUMMARY OF DUTIES:  Design, build, and maintain UDR’s enterprise data platform in Snowflake, implementing scalable and reliable data solutions that serve operational, analytical, and AI use cases. Develop data pipelines using medallion architecture, create reusable data products, and implement best practices for data transformation, quality, and governance. Partner with cross-functional teams including business stakeholders, IT leadership, and the Snowflake Administrator to deliver data solutions that drive business value and enable self-service analytics across the organization.

SUPERVISION RECEIVED:  Reports to the Director – IT Solution Delivery  

SUPERVISION EXERCISED:  N/A

ESSENTIAL FUNCTIONS: 

1. Design and implement UDR’s enterprise data platform in Snowflake, replacing on-premises SQL systems and decentralized data silos with a unified, governed data environment using medallion architecture (Bronze/Silver/Gold layers).

2. Build and maintain scalable data pipelines from source systems through transformation to analytical and operational targets, ensuring data quality, consistency, and reusability.

3. Develop well-defined, tested, documented, and code-reviewed datasets optimized for diverse business use cases including operational queries, business intelligence, self-service analytics, and AI/ML applications.

4. Create dimensional models, data architectures, and semantic layers using Snowflake Cortex to support analytics initiatives and enable consistent business logic and metrics across applications.

5. Design and maintain integration patterns between Snowflake and Power BI, optimizing for DirectQuery and Import modes to balance performance and user experience.

6. Implement data orchestration workflows using Apache Airflow to automate ingestion, transformation, scheduling, and quality validation processes.

7. Establish data quality testing frameworks and governance controls including validation rules, error-handling, monitoring, and data lineage documentation to maintain data integrity and support self-service analytics.

8. Prepare feature stores and training datasets for AI and machine learning applications, ensuring data is structured and documented for model development.

9. Troubleshoot and resolve production issues related to data platform performance, pipeline reliability, and data quality.

10. Integrate data from vendor systems and external sources using Snowflake ingestion methods including APIs, file-based loads, and data sharing.

11. Partner with the Snowflake Administrator on platform optimization, security, resource management, and cost efficiency, and collaborate with business stakeholders to translate analytics requirements into scalable data solutions.

12. Contribute to engineering design sessions, code reviews, and the development of best practices for platform configuration, observability, testing, and operational readiness.

13. Evaluate and adopt new technologies and tools that improve data platform capabilities and operational efficiency.

14. Perform other duties as assigned or as necessary.

EDUCATION AND EXPERIENCE:

1. Bachelor’s degree in computer science, data science, data engineering, software engineering, information systems, or related field; or equivalent combination of education and experience required.

2. Minimum of five to seven years of experience in data engineering, analytics engineering, or similar role with demonstrated experience building enterprise data platforms.

3. Snowflake experience required. SnowPro Core Certification preferred.

4. Proven experience implementing data warehouses or data lakes in cloud environments.

5. Track record of building data pipelines that serve multiple consumption patterns including analytics, operations, and AI/ML applications.

6. Experience with dimensional modeling, ETL/ELT development, and data transformation at scale.

7. Experience with Snowflake Cortex for semantic layer development preferred.

8. Proficiency integrating Snowflake with Power BI including DirectQuery and Import mode optimization preferred.

9. Experience building feature stores or preparing datasets for machine learning applications preferred.

10. Knowledge of CI/CD practices for data pipelines and automated testing frameworks preferred.

11. Experience with cloud platforms (AWS, Azure, or GCP) for data storage and processing preferred.

Benefits Offered: 

  • Medical, Dental, Vision Plans
  • Medical Flexible Spending Account
  • Dependent Care Spending Account
  • Lifestyle Spending Account
  • Supplemental Term Life Insurance
  • Critical Illness Plan
  • Supplemental Short-Term Disability Insurance / AD&D Insurance
  • Voluntary Long Term Care Insurance
  • 401(k) Plan with company match

Salary Range:
• $130,000.00/yr. – $170,000.00/yr., depends on experience

 Bonus Potential:
• Eligible for 10% annual bonus potential, based on personal and company performance 

Anticipated Close Date: June 30, 2026 

UDR is proud to provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

UDR is committed to providing and maintaining a diverse workforce and an inclusive work environment with equitable access and opportunity for associates to participate, grow, and reach their full potential.