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Insurance Data Engineer Jobs in Wyoming (NOW HIRING)

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Insurance Data Engineer information

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 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 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 are popular job titles related to Insurance Data Engineer jobs in Wyoming? For Insurance Data Engineer jobs in Wyoming, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Wyoming look for? The top searched job categories for Insurance Data Engineer jobs in Wyoming are:
What cities in Wyoming are hiring for Insurance Data Engineer jobs? Cities in Wyoming with the most Insurance Data Engineer job openings:
Insurance Data Engineer jobs near you
AI, Data & Innovation Manager

AI, Data & Innovation Manager

WWC Engineering

Sheridan, WY • On-site

$100K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago

Job description

Join WWC Engineering as a Full-Time AI, Data & Innovation Manager and be at the forefront of technological transformation in engineering. You'll collaborate with a dedicated team in a dynamic environment that prioritizes problem-solving and integrity. Enjoy the flexibility of a hybrid work schedule, allowing you to maintain a healthy work-life balance while making significant contributions to our mission.
The salary for this exciting role ranges from $100,000 to $125,000 annually, reflecting the value we place on expertise and innovation. You will receive great benefits such as Medical, Dental, Vision, 401(k), Life Insurance, Health Savings Account, Flexible Spending Account, Competitive Salary, 8 hours for Community Service, 401(k) Safe Harbor contribution, Performance Bonus Program, and Flex Program which pays for any hours worked over 8 in a day. Take this opportunity to drive real change in the engineering sector with our corporate team.
WWC Engineering: What drives us
Solving Problems and Delivering Value
Day to day as an AI, Data & Innovation Manager
As the AI, Data & Innovation Manager at WWC Engineering, you will spearhead the enterprise strategy for artificial intelligence, data governance, and advanced analytics, driving business enablement across the organization. Your focus will not be on deep technical model development but rather on ensuring that WWC comprehensively understands its information assets and governs them with integrity. Your leadership in this role will be pivotal in shaping the way WWC leverages data and innovation to meet evolving customer needs and achieve excellence in the engineering industry.
Are you the AI, Data & Innovation Manager we're looking for?
To excel as the AI, Data & Innovation Manager, candidates should possess an associate or bachelor's degree in technology, data, business, or a related field, along with 8-10 years of experience in technology, innovation, or data strategy roles. A strong understanding of business processes, data flows, and the technology utilized in engineering, survey, and environmental consulting is essential for this position. Successful candidates will have a proven track record in directing data governance initiatives and facilitating AI adoption, as well as experience with research and development or innovation intake programs. The role will interface with the IT Manager to ensure that data governance and AI initiatives align with infrastructure, security and technology lifecycle strategies.
Your ability to align technology with business objectives will play a crucial role in driving WWC's strategic vision forward.
Knowledge and skills required for the position are:
  • Associate or bachelor's degree in technology, data business or related field; equivalent experience accepted
  • 8-10 years of experience in technology innovation or data strategy roles
  • Strong understanding of business processes data flows and technology used in engineering survey and environmental consulting
  • Experience directing data governance AI adoption, R& D/innovation intake or related programs.

This position will involve some travel (using WWC vehicles) and thus this offer is made on the condition that you have a valid driver's license and that you are able to be covered by WWC's vehicle insurance. This offer is also contingent upon passing a pre-employment drug & alcohol test. Please note that this is an offer of at-will employment and does not constitute an employment contract between us.

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