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Insurance Data Engineer Jobs in Colorado (NOW HIRING)

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 ...

Senior Data Engineer

Denver, CO · Hybrid

$95K - $115K/yr

Our insurance, retirement, and investment solutions help people make the most of what's important ... Summary The Senior Data Engineer will support creation of the Book of Record by building AWS-based ...

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 ...

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 ...

Discounted pet insurance (because furry family members count, too) * A fitness credit to back your ... As a Senior Data Engineer on the Platform Team, you will be a part of driving the design ...

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 ...

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 ...

UDR, Inc. is now hiring a Senior Data Platform Engineer to join our team. **This is a remote based ... Supplemental Term Life Insurance * Critical Illness Plan * Supplemental Short-Term Disability ...

UDR, Inc. is now hiring a Senior Data Platform Engineer to join our team. **This is a remote based ... Supplemental Term Life Insurance * Critical Illness Plan * Supplemental Short-Term Disability ...

Senior Data Platform Engineer

Littleton, CO · Remote

$130K - $170K/yr

UDR, Inc. is now hiring a Senior Data Platform Engineer to join our team. **This is a remote based ... Supplemental Term Life Insurance * Critical Illness Plan * Supplemental Short-Term Disability ...

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 ...

Showing results 21-40

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:

Senior Data Engineer

Kharon

Denver, CO

$160K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Job description

Description
TL;DR Kharon is seeking a full-time Senior Data Engineer based in Denver, Colorado. This role requires in-office attendance 3 days a week. 

RESPONSIBILITIES:
  • Help build large-scale distributed automated data processing systems and data lakes, while optimizing for both computational and storage efficiency on AWS Databricks.
  • Create data pipelines, infrastructure, and overall workflow orchestration to pull data from a diverse set of data sources into the Kharon Data Lake.
  • Build systems to track, monitor and validate the quality of data coming into or going out of Kharon Data Lake.
  • Collaborate with engineers, architects, and data scientists to implement scalable solutions to solve complex problems.
  • Interact and develop with internal and external APIs.
  • Work with product and business teams to define novel and critical metrics for the business.
  • Follow good engineering practices like documentation, diagrams, and unit/validation tests
  • Take full responsibilities for the development, deployment, adoption monitoring and maintenance of the data systems and services you build.


QUALIFICATIONS:
  • 3+ years of experience, not including internships as a software engineer or a data engineer and a strong passion to learn.
  • BS/MS in Computer Science or equivalent experience in related fields.
  • Experience in Python, Pandas, PySpark, and Notebooks.
  • SQL knowledge and experience working with relational databases including schema design, access patterns, query performance optimization, etc.
  • Experience with data pipeline technologies like AWS Glue, Airflow, Kafka, or other cloud based equivalence.
  • Experience with ETL and data warehousing like Databricks, Snowflake, or equivalent.
  • Container-based deployment experience using Docker and Kubernetes.
  • Strong verbal and written communication skills.
NICE TO HAVE:
  • Experience working with or data modeling for graph databases like Neo4J, Neptune, etc.
  • API experience using FastAPI, Flask, Spring Boot or equivalent.
  • Understanding of elasticsearch data and query modeling is a big plus.
  • Interests or experience in Geopolitics, Sanction Compliance, or Financial Risk.


ABOUT KHARON:
Kharon is a highly disruptive and incredibly innovative organization that navigates risk at the intersection of global security threats + international commerce.
 
What does that mean? Great question.

Operating at the nexus of global security, Kharon is on a mission to revolutionize the current landscape. We take really complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalize that data so that they can make the best and most informed decisions possible. From financial crimes and sanctions to export controls and threat identifications, our tools optimize protection against the types of risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today’s leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled. 

When you look at any major global crisis event, we’re providing intelligence that’s at the heart of those circumstances. We connect the dots in a way that’s meaningful. Now, we’re experiencing unprecedented growth. As the world continues to evolve in complexity, so too does the demand for our products. Given the significance of our work and the increasing global reliance on our insights, we are looking for a Senior Data Engineer to join us as we work to shape the way businesses perceive and navigate global risks. 

To the right person, this will be the perfect kind of challenge. Our mission is compelling, our product is powerful, and we’re growing at a rate that makes us unstoppable. If you’re looking to be surrounded by people who will inspire you to think and challenge you to grow then look no further. Our team is made up of some of the most visionary and uncompromising individuals you will ever encounter. We don’t take ourselves seriously but we’re serious about the work we do and there is absolutely no slowing us down.  

To keep that momentum going, we do our very best to make sure that each and every team member is completely taken care of. We’re nothing without our people and we strive to offer a package that reflects that. As a Kharon team member, you can expect:
  • Fully sponsored medical, dental, and vision insurances
  • FSA program for both medical and dependent care
  • Long term disability
  • 401k + Roth with matching and immediate vesting  
  • Flexible paid time off + 11 paid holidays 

The base salary range at Kharon is set between $160,000 to $200,000. Please note that this figure does not necessarily include potential bonuses, commissions, benefits, or equity that may be part of the overall compensation package.
If interested in pursuing this position, please visit www.kharon.com/careers to apply. 

Kharon is an equal opportunity employer.  Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination.  All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability.

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