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Insurance Data Engineer Jobs in Colorado (NOW HIRING)

Cloud Big Data Software Engineer

Aurora, CO ยท 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 ...

Sr Developer

Denver, CO ยท On-site

$100/hr

The Senior Data Engineer must have at least of PowerBI, SQL Server or Azure experience. Compensation and Benefits: The compensation for this position starts in the range of $100-120K. Insurance, and ...

Big Data Architect

Aurora, CO ยท 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 ...

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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:
Cloud Big Data Software Engineer

Cloud Big Data Software Engineer

Cymertek

Aurora, CO โ€ข On-site

$56.75 - $75.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Job description

Cloud Big Data Software Engineer
LOCATION
Aurora, CO 80014
CLEARANCE
TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
KEY SUMMARY
We are seeking a skilled Cloud Big Data Software Engineer to join our team and play a pivotal role in designing and developing cloud-based big data solutions. In this role, you will work with cutting-edge technologies to build scalable systems capable of handling large volumes of data, enabling businesses to derive valuable insights. The ideal candidate is passionate about big data, cloud platforms, and software engineering, and thrives in a collaborative environment where innovation and problem-solving are essential. If you're eager to take on complex challenges and drive impactful projects, we encourage you to apply and become part of our dynamic team.
*** 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
Big Data Engineer, Cloud Data Engineer, Cloud Data Architect, Data Engineer, Cloud Solutions Engineer, Cloud Analytics Engineer, Data Scientist, Big Data Architect, Cloud Platform Engineer, Distributed Systems Engineer, etc.
DEGREE (Level Desired)
Bachelor's Degree
DEGREE (Focus)
Computer Science, Data Science, Cloud Computing, Software Engineering, Information Technology, Applied Mathematics, Information Systems, Data Analytics, Electrical Engineering, Artificial Intelligence, Cybersecurity, Statistics, etc.
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 big data solutions in cloud environments
  • Develop and maintain data pipelines for large-scale processing
  • Optimize system performance and scalability
  • Collaborate with data teams to define requirements and solutions
  • Ensure data security and compliance standards are met
  • Document system architecture and workflows

REQUIRED SKILLS
  • Proficiency in programming languages like Python or Java
  • Experience with cloud platforms like AWS, Azure, or GCP
  • Expertise in big data tools such as Hadoop, Spark, or Kafka
  • Knowledge of distributed systems and parallel processing
  • Understanding of SQL and NoSQL databases
  • Familiarity with containerization technologies like Docker

DESIRED SKILLS
  • Familiarity with real-time analytics platforms
  • Knowledge of Infrastructure as Code (IaC) tools like Terraform
  • Understanding of serverless computing models
  • Experience with advanced data visualization frameworks
  • Knowledge of cost optimization techniques for cloud systems
  • Ability to integrate machine learning models with big data solutions

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

HOW TO APPLY
Email us atjobs@cymertek.comor apply today:www.cymertek.com
Want to see what our employees think? Clickhere .
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.