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Insurance Data Engineer Jobs in Anchorage, AK (NOW HIRING)

... loss engineers and underwriters. * Identifies, analyzes and classifies insurable risks for ... Reviews financial data and exposures for acquisition projects, providing premium forecasts and ...

Conduct surveys and gather field data as required. Prepare and interpret drawings, including ... Medical Insurance: We offer comprehensive medical plans through Federal Employee Health Benefits ...

Project Civil Engineer

Anchorage, AK · On-site

$86K - $116K/yr

Logs and maintains data as necessary to assist with project management and decision making ... Comprehensive health, dental, and vision insurance. * Retirement savings plan with company match.

Ensure supplier data and drawings are in compliance with project design specifications. Manage ... Medical Insurance: We offer comprehensive medical plans through Federal Employee Health Benefits ...

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Insurance Data Engineer information

See Anchorage, AK salary details

$45.5K

$132.6K

$181.4K

How much do insurance data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for insurance data engineer in Anchorage, AK is $132,567.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,000.00 and $140,500.00 per year, depending on experience, location, and employer.

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 Anchorage, AK? For Insurance Data Engineer jobs in Anchorage, AK, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Anchorage, AK look for? The top searched job categories for Insurance Data Engineer jobs in Anchorage, AK are:
Senior Solutions Engineer - Data Center

Senior Solutions Engineer - Data Center

CompuNet, Inc.

Anchorage, AK • On-site

$100K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


CompuNet Clinical Laboratories rating

6.4

Company rating: 6.4 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

102nd of 120 rated laboratories


Job description

Why join CompuNet?
CompuNet values its people more than any other asset-and realizes the contributions made by each employee are a reflection of their education, experience, certifications, expertise and passions. We strive to take care of each other, do the right thing and help our customers succeed. We work to build lasting relationships and are proud that our customers across many industries see us as a trusted advisor. Putting the customer at the center of every engagement, our mission is to design, test, deploy and support the right IT solutions for every customer.
We offer a generous total compensation package for our employees, including competitive wages, medical, dental, vision, PTO, company-matching retirement plans, profit-sharing and more.
Our engineers are the foundation of success for our customers and our business. We are seeking a Senior Solutions Engineer with a Data Center focus to join our team. This role will provide value for our clients in both pre-sales design and post-sales implementation. This role will perform the following responsibilities:
  • Collaborate with the sales team to build a winning strategy for our clients.
  • Perform necessary Pre-Sales technical functions to create systems designs.
  • Build Bill of Materials (BoM), create illustrations and diagrams and provide Statements of Work (SoW).
  • Relay technical information to both technical and non-technical staff.
  • Post-Sales Implementation of systems designed.
  • Produce post Implementation project documentation.
  • Provide proficient end-user systems administration training (post implementation) of CompuNet installed solutions
  • Develop strategic relationships with our key manufacturer Partner SE's.

Key Expectations of this role:
  • Listen to and address customer technical challenges and design the right solution that meets the customer business needs.
  • Ability to communicate on a high level regarding multiple technologies.
  • Relay technical information to both technical and non-technical staff.
  • Maintain existing certifications and grow to new areas with certification.
  • Participate in all team functions including calls, meetings, events, etc.

Technologies that this role will encompass are below:
  • Converged and Hyper-Converged (HCI) solutions
  • Storage
    • Block, File & Object
    • Connectivity
      • Fibre Channel
      • iSCSI
  • Virtualization
    • Design, deploy and maintenance
      • vSphere
      • Hyper-V
    • Virtual network connectivity
  • Cloud (some understanding preferred but not required)
    • Understanding of public & private clouds
      • Azure
      • AWS
      • GCP
  • Data Protection
    • Veeam
    • Cohesity
    • Rubrik
    • Backup and Restore (Not all are required)
    • Disaster Recovery
    • Business Continuity
  • Microsoft Active Directory (not required but recommended to have some level of understanding)
    • Baseline understanding of Microsoft Active Directory and Windows Server components like DHCP, DNS & PKI
  • Networking (Basic Networking)
    • Fundamentals required for connectivity between data center, hybrid and cloud components
Who you are
You're a strong team player that is invested in helping your customers succeed and contributing to a great team. You have the following knowledge, skills, abilities and/or education:
  • 8+ years of experience is a plus
  • Demonstrated ability to work independently and bring order to ambiguous situations
  • Ability to work on different projects in a simultaneous fashion (i.e. multiple customer projects in the same time period).
  • Ability to relay technical information to both technical and non-technical staff.
  • Exceptional problem solving and organizational skills.
  • Excellent time management and independent work skills.
  • Excellent verbal and written communication skills.
  • Willing to travel 25-50% of the time depending on client needs

Additional Information
At CompuNet, we strive to do the right thing - that includes taking care of our employees. We offer a full and comprehensive compensation package to all our employees, including:
  • Medical, Dental, Vision, Employee Assistance Program, and Flexible Spending Accounts
  • Life and AD&D insurance, Disability coverage, Critical Illness and Accident Insurance
  • Paid Time Off (PTO) and paid Holidays
  • Company-matching 401(k)
  • Profit Sharing
  • Competitive salary
    • The estimated base salary range for this position is $100,000 - $175,000 per year. Actual salary will depend on a variety of factors, including location and job-related qualifications such as knowledge, skills, experience, training, certifications, education, or performance. This position is eligible for variable compensation, such as commission, bonuses, and profit sharing, in addition to the base salary.

Who we are
CompuNet, Inc. is an engineering-led IT solution provider that offers consulting, design, and professional services. Our strength lies in our team of outcome-driven and relationship-focused professionals with a long history of designing IT solutions. Our team of highly skilled engineers take the lead in designing, developing, and implementing solutions that address complex business challenges. This team takes ownership for the entire project lifecycle, from discovery and design through deployment, training, and handoff.
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

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