1

Insurance Data Engineer Jobs in Denver, CO (NOW HIRING)

Snowflake Data Engineer

Broomfield, CO · On-site

$74.02 - $110.27/hr

Experience in leading end‑to‑end design and delivery of scalable data engineering solutions ... Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) * 401(k) plan and contributions ...

New

Senior Data Engineer

Denver, CO · On-site +1

$190K - $220K/yr

We handle the hard stuff - payroll, health insurance, 401(k)s, and HR - so owners can focus on ... The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly ...

Senior Data Engineer

Denver, CO · On-site

$160K - $200K/yr

Description TL;DR Kharon is seeking a full-time Senior Data Engineer based in Denver, Colorado ... Fully sponsored medical, dental, and vision insurances * FSA program for both medical and dependent ...

Data Warehouse Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

(USA) Senior, Data Engineer

Denver, CO · On-site

$109K - $148K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

(USA) Senior, Data Engineer

Denver, CO · On-site

$99K - $198K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

Data Engineer (AWS, Azure, GCP)

Denver, CO · On-site

$117K - $141K/yr

CapTech Data Engineering consultants enable clients to build and maintain advanced data systems ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

Data Warehouse Engineer

Aurora, CO · On-site

$110 - $170/hr

SIMILAR CAREER TITLES Data Engineer, ETL Developer, Data Architect, Business Intelligence Engineer ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

Data Engineer (AWS, Azure, GCP)

Denver, CO · On-site

$117K - $141K/yr

CapTech Data Engineering consultants enable clients to build and maintain advanced data systems ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

Data Conditioning Systems Engineer

Aurora, CO · On-site

$116K - $140K/yr

Data Conditioning Systems Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

Senior Data Engineer- Cybersecurity (14168) At Moody's, we unite the brightest minds to turn today ... and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement ...

Cloud Big Data Software Engineer

Aurora, CO · On-site

$56.75 - $75.25/hr

Cloud Big Data Software Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

Location: Onsite in Denver, CO W2 only Senior Data Engineer Requirements: * 8+ years experience ... Health, Dental, and Vision Insurance * Paid Time Off (vacation and holidays) * Paid Sick Leave ...

Onsite in Denver, CO W2 only Senior Data Engineer Requirements: 8+ years experience with BI tools ... Health, Dental, and Vision Insurance Paid Time Off (vacation and holidays) Paid Sick Leave (HFWA ...

Senior Data Engineer

Denver, CO · On-site

$155.37 - $186.44/hr

As a Data Engineer, you will contribute to the evolution of our data infrastructure, optimizing ... Family planning, mental health support along with Employee Assistance Program, Insurance (Life ...

New

Showing results 21-40

Insurance Data Engineer information

See Denver, CO salary details

$45.8K

$133.5K

$182.7K

How much do insurance data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for insurance data engineer in Denver, CO is $133,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,900.00 and $141,500.00 per year, depending on experience, location, and employer.

What is an insurance data engineer?

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.

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.

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.

What are popular job titles related to Insurance Data Engineer jobs in Denver, CO?

For Insurance Data Engineer jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Insurance Data Engineer jobs in Denver, CO look for?

The top searched job categories for Insurance Data Engineer jobs in Denver, CO are:

What cities near Denver, CO are hiring for Insurance Data Engineer jobs?

Cities near Denver, CO with the most Insurance Data Engineer job openings:

Infographic showing various Insurance Data Engineer job openings in Denver, CO as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, 1% Temporary, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $133,514 per year, or $64.2 per hour.

Snowflake Data Engineer

Infosys Limited

Broomfield, CO • On-site

$74.02 - $110.27/hr

Other

Medical, Retirement

Posted 3 days ago

New


Infosys rating

7.0

Company rating: 7.0 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

153rd of 226 rated it services


Job description

Technology|Cloud Platform|GCP Core Services

Technical Skills 2

Foundational|Development process generic|Cloud Application Development process

Salary min

74019

Salary max

110270

Overview

The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and operational efficiency. We specialize in leveraging advanced AI and analytics to create innovative solutions that address complex business challenges. Our team is dedicated to pioneering the future of data-driven decision‑making, enabling organizations to unlock new opportunities and achieve sustainable success. Join us to be part of a dynamic team that is revolutionizing the way businesses harness the power of data and AI. At Infosys DNA, you'll have the opportunity to work with cutting‑edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment. If you're passionate about AI and eager to make a significant impact, the Infosys DNA unit is the perfect place for you to grow and excel.

Responsibilities
  • Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
  • Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
  • Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
  • Conduct code reviews, do changes to the codebase and maintain code repositories
  • Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
  • Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
  • Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
  • Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects
Your contribution to the team
  • A collaborative spirit and excellent communication skills.
  • The ability to handle end‑to‑end SDLC phases from requirement gathering to implementation.
  • A knack for translating complex requirements into actionable development tasks.
  • A passion for design and hands‑on coding experience.
  • A proactive approach to testing, troubleshooting, and refining our applications.
  • The ability to work with cross‑functional teams and do software integration.
Required Skill and Experience
  • Hands‑on experience in Data Warehousing, ETL, SQL, Python, DBT, Snowflake, Cortex Code AI / Gen AI, Azure cloud
  • Drive data modeling, transformation, and optimization aligned with enterprise data architecture and analytics requirements.
  • Experience in leading end‑to‑end design and delivery of scalable data engineering solutions using Snowflake, dbt, and Python, ensuring high‑performance data pipelines and robust data warehousing practices.
  • Experience in Cortex AI / GenAI capabilities to enable automated code generation, data validation, and intelligent pipeline enhancements.
Preferred Skill and Experience
  • Collaborate with onsite stakeholders, architects, and cross‑functional teams to define requirements, provide technical leadership, and ensure delivery excellence.
  • Mentor offshore teams, enforce best practices in data engineering, CI/CD, and governance, and ensure high‑quality, production‑ready deliverables.
Additional Required Qualifications
  • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • This position may require relocation and/or travel to work/project location.
  • Candidates authorized to work for any employer in the United States without employer‑based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Benefits
  • Long‑term/Short‑term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
About Us

Infosys is a global leader in next‑generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI‑powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always‑on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

#J-18808-Ljbffr

What Infosys employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom