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Insurance Data Engineer Jobs in Colorado (NOW HIRING)

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 · On-site

$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.

Senior Data Analytics Engineer

Boulder, CO · On-site +1

$109K - $149K/yr

As an Analytics Engineer, you will play a crucial role in transforming raw data into actionable ... Employees can choose from HSA, FSA, and traditional insurance options for medical, dental, and ...

Understanding of algorithms and data structures * Familiarity with Agile methodologies DESIRED ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

You will collaborate with data scientists, engineers, and product teams to turn data into ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

Senior Manager, Data Engineering

Denver, CO · On-site +1

$140K - $155K/yr

Employer-Paid Life Insurance and Disability -We offer employer-paid life insurance and ... of data engineers and BI developers -Establishdelivery standards, performance expectations, and ...

Showing results 41-60

Insurance Data Engineer information

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 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:

$105K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

Graph Data Engineer / SPARQL Developer
Must Have Technical/Functional Skills
• Technical:
o SPARQL, RDF, OWL, semantic web technologies
o Graph databases (e.g., Stardog, Neo4j)
o SQL, Python, JavaScript for data processing and visualization
o EXFO Ontology (PRONTO) Necessary but if no resource have this above three are mandatory
• Domain Knowledge:
o Telecom network architecture, Service Fulfilment (Provisioning and Activation)
o OSS/BSS integration, CMDB, network inventory
o Event-driven and real-time data architectures (Kafka, REST APIs)
Roles & Responsibilities
Design and development of API using SPARQL and Python
Generic Managerial Skills, If any
Good Customer communication
Education
Graduation Degree or above
TCS Employee Benefits Summary
• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $105000 - $110000 a year
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