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Insurance Data Engineer Jobs in Lone Tree, CO (NOW HIRING)

Big Data Architect

Aurora, CO · On-site

$120 - $180/hr

SIMILAR CAREER TITLES Data Architect, Solutions Architect, Cloud Data Architect, Data Engineer, Big ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

Big Data Architect

Aurora, CO · On-site

$65 - $83.50/hr

SIMILAR CAREER TITLES Data Architect, Solutions Architect, Cloud Data Architect, Data Engineer, Big ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

Data Modeler

Aurora, CO · On-site

$90 - $120/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 ...

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 ...

Data Engineering Lead

Denver, CO · Hybrid

$118K - $141K/yr

THE ROLE We are searching for a new role - a Data Engineering Lead - to join our client's team in ... Comprehensive Benefits Package (health insurance, retirement savings, generous PTO, and work-life ...

Data Engineering Lead

Denver, CO · Hybrid

$118K - $141K/yr

THE ROLE We are searching for a new role - a Data Engineering Lead - to join our client's team in ... Comprehensive Benefits Package (health insurance, retirement savings, generous PTO, and work-life ...

Data Engineering Lead

Denver, CO · On-site

$117K - $141K/yr

THE ROLE We are searching for a new role - a Data Engineering Lead - to join our client's team in ... Comprehensive Benefits Package (health insurance, retirement savings, generous PTO, and work-life ...

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 ...

Data Scientist

Aurora, CO · On-site

$100 - $160/hr

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

Showing results 41-60

Insurance Data Engineer information

See Lone Tree, CO salary details

$45.5K

$132.7K

$181.6K

How much do insurance data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for insurance data engineer in Lone Tree, CO is $132,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,100.00 and $140,600.00 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 job categories do people searching Insurance Data Engineer jobs in Lone Tree, CO look for?

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

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

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

Data Scientist / Cloud Software Engineer

Cymertek Corporation

Aurora, CO • On-site

$120 - $170/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 hours ago


Job description

Data Scientist / Cloud Software Engineer
  • Aurora, CO
Data Scientist / Cloud Software EngineerLOCATION

Aurora, CO 80014

Data Scientist / Cloud Software EngineerLOCATION

Aurora, CO 80014

CLEARANCE

TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)

KEY SUMMARY

We are looking for a talented Data Scientist / Cloud Software Engineer to join our team and contribute to the development of innovative cloud-based solutions that leverage advanced data analytics. In this role, you will work on designing and building scalable cloud architectures while applying data science techniques to drive insights and decision-making. The ideal candidate will have a strong understanding of both cloud infrastructure and data analytics, with a passion for solving complex problems and transforming large datasets into actionable solutions. If you enjoy working in a dynamic environment where technology meets business impact, we encourage you to apply and help shape the future of our data-driven products and services.

*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***

SIMILAR CAREER TITLES

Data Engineer, Cloud Data Scientist, Cloud Software Developer, Cloud Solutions Architect, Data Analyst, Cloud Architect, Machine Learning Engineer, Big Data Engineer, Cloud Platform Engineer, AI Engineer, ect.

DEGREE (Level Desired)

Bachelor's Degree

DEGREE (Focus)

Computer Science, Data Science, Cloud Computing, Software Engineering, Information Technology, Statistics, Applied Mathematics, Artificial Intelligence, Information Systems, Electrical Engineering, Machine Learning, ect.

ALTERNATE EXPERIENCE

General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.

POSITION RESPONSIBILITIES
  • Design and implement cloud-based data solutions
  • Build scalable data processing workflows
  • Develop and maintain machine learning models
  • Collaborate with cross-functional teams to deliver insights
  • Ensure data security and compliance
  • Document and communicate technical solutions
REQUIRED SKILLS
  • Proficiency in Python or Java
  • Experience with cloud platforms like AWS or GCP
  • Expertise in big data tools like Spark or Hadoop
  • Familiarity with machine learning frameworks such as TensorFlow or PyTorch
  • Knowledge of SQL and NoSQL databases
  • Ability to optimize and monitor cloud-based pipelines
DESIRED SKILLS
  • Familiarity with Infrastructure as Code (IaC) tools
  • Knowledge of real-time data processing platforms
  • Understanding of advanced statistical methods
  • Experience with serverless computing models
  • Knowledge of containerization tools like Docker or Kubernetes
  • Ability to integrate machine learning models into production systems
PLUG IN to CYMERTEK - And design your future...YOUR FOREVER CAREER STARTS HERE

Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development.

At our company, you come first. We’re committed to creating an environment where you’ll thrive professionally and personally. We provide meaningful, challenging work using cutting–edge technologies while investing in your growth and success. With direct access to company leadership, a laid–back and inclusive atmosphere, and exceptional work–life balance, you’ll feel valued every day.

We also believe in taking care of our family – both yours and ours. Our benefits are phenomenal, family–friendly, and designed with your well–being in mind. From employee and family events to career–long support, we create a community you’ll never want to leave.

Ready to make your next move the best one? Join us and experience the difference.

BENEFITS
  • Excellent Salaries
  • Flexible Work Schedule
  • Cafeteria Style Benefits
  • 10% - 401k Matching (Vested Immediately)
  • Additional 401k Profit Sharing
  • 30 days Paid Leave/Holiday (No Use or Lose!)
  • The day off for your birthday
  • Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus)
  • HSA/FSA
  • AFLAC
  • Long Term/Short Term Disability - 100% employee coverage. No cost to you.
  • Life Insurance - 100% employee coverage. No cost to you.
  • Additional Discretionary Life Insurance
  • Paid Training
  • No long, wordy reviews with tons of paperwork!!!
  • Referral bonus program with recurring annual payments
EQUAL OPPORTUNITY EMPLOYER STATEMENT

Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.

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