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Insurance Data Engineer Jobs in Fort Collins, CO

Data Scientist

Fort Collins, CO · On-site

$77K - $110K/yr

Home / Auto Insurance discounts * Whole Life Insurance / Critical Illness Insurance / Legal ... Python Programming: Skilled in writing and debugging Python code for data manipulation and analysis.

Data Scientist

Fort Collins, CO · On-site

$77K - $110K/yr

Home / Auto Insurance discounts * Whole Life Insurance / Critical Illness Insurance / Legal ... Python Programming: Skilled in writing and debugging Python code for data manipulation and analysis.

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... insurance, 401(k) plan, paid time off and holidays, education reimbursement, and various bonus ...

Executive Director

Fort Collins, CO · On-site +1

$120K - $135K/yr

... programming, a benchmarking study, a salary survey, a career center, and an active member community ... Oversee effective risk management practices, including insurance, data security, and records ...

Test Engineer III

Fort Collins, CO · On-site

$93K - $125K/yr

... with market data. Test Engineer III Woodward's Industrial Product Division in Fort Collins ... Whole Life Insurance / Critical Illness Insurance / Legal Assistance / Military Leave Key ...

... with market data. Test Engineer III Woodward's Industrial Product Division in Fort Collins ... Whole Life Insurance / Critical Illness Insurance / Legal Assistance / Military Leave Key ...

Test Engineer III

Fort Collins, CO · On-site

$93K - $125K/yr

... with market data. Test Engineer III Woodward's Industrial Product Division in Fort Collins ... Whole Life Insurance / Critical Illness Insurance / Legal Assistance / Military Leave Key ...

As a member of the Data Science Software R&D Team in the Advanced Compute Solutions (ACS) group ... Dental insurance * Vision insurance * Long term/short term disability insurance * Employee ...

Configuration Engineer

Berthoud, CO · On-site

$72K - $90K/yr

Identify discrepancies in configuration data and escalate issues to senior team members ... Medical, Dental and Vision Insurance * Tax Advantage Accounts (HSA/FSA) * Employer Paid Short and ...

Configuration Engineer

Berthoud, CO · On-site

$72K - $90K/yr

Identify discrepancies in configuration data and escalate issues to senior team members ... Medical, Dental and Vision Insurance * Tax Advantage Accounts (HSA/FSA) * Employer Paid Short and ...

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Showing results 1-20

Insurance Data Engineer information

See Fort Collins, CO salary details

$44K

$128.4K

$175.7K

How much do insurance data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for insurance data engineer in Fort Collins, CO is $128,400.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,100.00 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.

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.
What are popular job titles related to Insurance Data Engineer jobs in Fort Collins, CO? For Insurance Data Engineer jobs in Fort Collins, CO, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Fort Collins, CO look for? The top searched job categories for Insurance Data Engineer jobs in Fort Collins, CO are:
What cities near Fort Collins, CO are hiring for Insurance Data Engineer jobs? Cities near Fort Collins, CO with the most Insurance Data Engineer job openings:
Infographic showing various Insurance Data Engineer job openings in Fort Collins, CO as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, 1% Temporary, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $128,400 per year, or $61.7 per hour.

Agentic AI and Data Science Staff Engineer

Seagate Technology

Longmont, CO • On-site

$109K - $159K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Seagate Technology rating

8.9

Company rating: 8.9 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

10th of 156 rated electronics manufacturers


Job description

About our group:
Seagate is the global leader in data storage solutions, creating innovative products for Enterprise and Cloud Computing, as well as Consumer Electronics applications. Our products enable people and businesses around the world to create, share, and preserve their most critical memories and business data. Seagate has recently been ranked among the Thomson Reuters Top 100 Global Innovators.
Do you have an embedded firmware background? Our group designs, develops, tests, integrates, and supports firmware solutions and products. We work closely with many teams to develop firmware solutions that enable features and functions for new products. The team has deep technical expertise in firmware design and a passion for developing innovative solutions. We are involved in advancing emerging technologies such as HAMR (Heat Assisted Magnetic Recording) and defining the hardware and firmware architecture for the next generation of products.
Our vision is to be the best firmware delivery team with a culture that is:
  • Growth Mindset - Be insatiably curious
  • Customer Obsessed - Innovate to meet customer needs
  • Open and Inclusive - Tap into the global talent pool
  • One Team - Connected by a single shared mission

About the role - you will:
This position will help accelerate the organization's AI journey by applying data science expertise to gather, structure, analyze, and interpret engineering data that improves predictability, decision-making, and product outcomes.
  • Partner with firmware, product, quality, and program teams to identify the right data sources, define meaningful metrics, and convert complex data into actionable insights that enable more predictable execution and delivery.
  • Develop analytical models, dashboards, and feedback loops that help teams understand trends, risks, dependencies, and leading indicators across the development lifecycle.
  • The successful candidate will have a strong foundation in data science, statistics, machine learning, data engineering, and analytical problem-solving, with the ability to translate engineering and business questions into measurable insights and practical recommendations.

About you:
  • We are looking for a self-starter who can apply new knowledge quickly and effectively on the job.
  • You have strong verbal and technical writing skills and can work independently or as part of a team.
  • This position offers opportunities to lead small or large sub-projects and interface with product core teams and customer teams.
  • You enjoy taking ownership of your work and understand that your technical contributions can have a significant impact. You apply systematic design practices and are thorough in your work.

Your experience includes:
  • Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Data Science, Statistics, Mathematics, Electrical Engineering, or a related field and 8+ years of experience, or Master's degree in the same fields and 6+ years of experience, or PhD and 3+ years of experience or equivalent education and experience.
  • Strong data science background, including statistical analysis, machine learning, data visualization, and experience deriving insights from large and complex data sets.
  • Experience with Python, SQL, data pipelines, analytics platforms, and visualization tools used to collect, cleanse, model, and communicate engineering data.
  • Programming experience in C/C++.

The estimated base salary range for this position is $109,400.00 - $159,500.00. The individual salary is based on work location and additional factors, including job-related skills, experience, and relevant education or training.
Seagate offers comprehensive benefits to its eligible employees, including, but not limited to, eligibility to participate in a discretionary bonus program, medical, dental, vision, and life insurance, short- and long-term disability, 401(k), employee stock purchase plan, health savings account, dependent care, and healthcare spending accounts. Seagate also offers paid time off, including 12 holidays, flexible time off provided pursuant to Seagate policy, a minimum of 48 hours of paid sick leave, and 16 weeks of paid parental leave. The benefits for this position are based on a full-time schedule for a full calendar year and may differ depending on work location.
Location:
This role is an on-site position based in Longmont, CO and requires on-site presence five days per week.
Our Longmont product-design campus is nestled against the foothills with exceptional views of the Rocky Mountains. Here at work, you can grab breakfast and lunch in the on-site cafeteria or get an afternoon espresso, prepared by a professional barista. Our 600+ employees enjoy an active on-site experience from sporting activities (get in a few laps at lunch on our 1-mile walking path around campus, play ping-pong or volleyball, or stop in our 24-hour fitness center for a group or individual workout). We also offer opportunities for community service and participation in various employee resource groups.
Location: Longmont, United States
Travel: Up to 10%
About Us
With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape.
We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.
Seagate is powered by our talented and passionate workforce of 29,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike.
Join us and get inspired to make a difference in the datasphere!
Seagate is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, national origin, citizenship status, physical or mental disability, genetic information, marital status, sex (which includes pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, religion, military and veteran status, or other status protected by applicable law. We will consider for employment qualified applicants with arrest and conviction records. EEO Know Your Rights Poster
Seagate will provide reasonable accommodation with the application process upon request as required to comply with applicable laws. If you need assistance or accommodation due to a disability, you may contact us at accommodations@seagate.com.
All Seagate jobs will remain open for a minimum of seven days.
For information on how Seagate collects and uses your personal information during the application process, please review the Applicant Privacy Statement.

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