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Insurance Data Engineer Jobs in Oklahoma (NOW HIRING)

Canoo Data Platform - Data Engineer

Oklahoma City, OK · On-site

$98.50K - $118.30K/yr

Job Title Canoo Data Platform - Data Engineer About Canoo Canoo's mission is to bring EVs to ... Comprehensive Health Insurance * Equity Compensation * Flexible Paid Time Off * Casual workplace ...

... with data engineers on underlying data structure improvements as needed. * Translate analytics ... Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional ...

... with data engineers on underlying data structure improvements as needed. * Translate analytics ... Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional ...

Data Architect

Tulsa, OK

$58.25 - $75/hr

The company is primarily focused on information technology, engineering, healthcare, financial ... Science, Insurance, legal, healthcare, among others. It also offers outsourcing, consulting ...

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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 Oklahoma? For Insurance Data Engineer jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Oklahoma look for? The top searched job categories for Insurance Data Engineer jobs in Oklahoma are:
What cities in Oklahoma are hiring for Insurance Data Engineer jobs? Cities in Oklahoma with the most Insurance Data Engineer job openings:
Data Engineer

$106.40K - $127.80K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Love's Travel Stops rating

5.9

Company rating: 5.9 out of 10

Based on 763 frontline employees who took The Breakroom Quiz

389th of 712 rated retailers


Job description

Req ID: 473002 

Benefits: * Fuel Your Growth with Love's - company funded tuition assistance * Paid Time Off * 401(k) - 100% Match up to 5% * Medical/Dental/Vision Insurance after 30 days * Competitive Pay * Career Development *  

*Applicants must be legally authorized to work in the United States. We do not provide sponsorship for employment visas now or in the future.**Applicants must be legally authorized to work in the United States. We do not provide sponsorship for employment visas now or in the future.* 

Welcome to Love's: The Data Engineer III will play a pivotal role in building, managing, and optimizing data pipelines for the Enterprise Data & Analytics initiatives following industry standard practices and tools.  This role will be the key interface in operationalizing data and analytics on behalf of the business unit(s) and organizational outcomes. 

Job Functions:

  • Architect, build, and maintain data pipelines through acquisition, ingestion, staging, and modeling
  • Provide architectural input to program leadership for project teams to develop solutions that align with long-term data warehouse strategy
  • Responsible for the identification and qualification of source data to satisfy master and transactional data requirements for the target warehouse
  • Lead data assessment and mapping activities, and develop the underlying migration framework to extract, transform, validate, enrich, and load the source data
  • Define reusable solution architectures using standard modeling practices
  • Design and deliver solutions that are reliable and scalable and focused on driving automation and improving productivity
  • Fundamental understanding of data warehousing principles
  • Ability to understand impacts of a solution architecture on corresponding design, build, and test efforts

Experience and Qualifications:

  • HS Diploma or equivalent required, bachelor's degree in business with MIS or technology related degree (C.S.) preferred
  • 3-5 years experience with cloud data warehouses such as Snowflake, working with complex SQL code, working with DevOps capabilities like version control, automated builds, testing and release management using tools like Git
  • Moderate experience working with open-source or commercial message queuing technologies, such as Azure Service Bus, Apache Nifi, Apache Kafka, etc., and with replication software such as Fivetran or HVR
  • SQL Server 2008+, SAP Hana, Tableau, Power BI, R/Python, and Dbt experience preferred
  • Strong experience with various Data Management architectures like Data Warehouse, Data Lake, Data Hub, Data Vault and the supporting processes like Data Integration, Governance, and Metadata Management
  • Strong experience working with large, heterogeneous datasets in building data pipelines and integrating datasets using traditional data integration technologies, including ETL/ELT, data replication/CDC, message-oriented data movement, and API-based data acquisition
  •  

Skills and Physical Demands: 

  • Capable of thinking big picture and sorting through an ambiguous environment, ability to manage numerous competing demands in a fast-paced environment, demonstrates good judgement, highly creative and collaborative, and excellent verbal and written communication skills
  • Requires prolonged sitting, some bending and stooping
  • Manual dexterity sufficient to operate a computer keyboard and calculator
  • Requires normal range of hearing and vision
  • This is an onsite role

Must be authorized to work in the U.S. without sponsorship

#LI-Onsite

Our Culture: 
Love's has been fueling journeys since 1964. Headquartered in Oklahoma City, we operate 650+ locations in 42 states across our family of companies. We're committed to innovation, inclusion & belonging, and making a positive impact in the communities we serve. Come see why Love's Travel Stops & Country Stores was recognized by Indeed as the winner of the Better Work Award in 2023.

Love's Travel Stops & Country Stores is an Equal Opportunity Employer. Veterans encouraged to apply. 

Love's Family of Companies:

  • Love's Travel Stops & Country Stores, the leading travel stop network
  • Gemini Motor Transport, one of the industry's safest transportation companies
  • Musket Corporation, a Houston-based commodity supply, trading and logistics expert
  • Love's Alternative Energy, a Houston-based leading provider of alternative fueling solutions
  • Love's Truck Care, the largest oil change, preventive maintenance and total truck care network

Job Category: Information Technology


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