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Insurance Data Engineer Jobs in Arizona (NOW HIRING)

TEKsystems

Jr-Mid Level GCP Data Engineer

Phoenix, AZ · Hybrid

$38 - $40/hr

Jr-Mid Level GCP DATA ENGINEER W2 ONLY - Cannot do C2C or provide sponsorship HYBRID IN PHOENIX, AZ ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

TEKsystems

Jr-Mid Level GCP Data Engineer

Phoenix, AZ · Hybrid

$38 - $40/hr

Jr-Mid Level GCP DATA ENGINEER W2 ONLY - Cannot do C2C or provide sponsorship HYBRID IN PHOENIX, AZ ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

Quest Global

Data Engineer / BI Developer

Phoenix, AZ · On-site +1

$70K - $80K/yr

Build and maintain the data pipeline supporting traceability and status reporting * Develop ... We also offer a comprehensive benefits package, including health insurance, paid time off, and ...

Kestra Holdings

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

We are seeking a seasoned Databricks Data Engineer with expertise in Azure cloud services and the ... health insurance, and a competitive benefits package * Work in a supportive, collaborative ...

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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.

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 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 Arizona?

For Insurance Data Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Insurance Data Engineer jobs in Arizona look for?

The top searched job categories for Insurance Data Engineer jobs in Arizona are:

What cities in Arizona are hiring for Insurance Data Engineer jobs?

Cities in Arizona with the most Insurance Data Engineer job openings:

Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Arizona as of September 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Hybrid job distribution.

Senior Vice President of Enterprise Data - AZ - On site

Chandler, AZ • On-site

Vensure Employer Solutions
Finance and Insurance • 501 - 1,000 employees
Learn more about Vensure Employer Solutionsexternal

$66 - $88.50/hr

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Vensure Employer Solutions is the largest privately held organization in the HR technology and service sector, providing a comprehensive portfolio of solutions. The Senior Vice President of Enterprise Data will be responsible for operationalizing a unified data foundation to enhance reporting, analytics, and AI capabilities across the company's HR, payroll, and insurance businesses.
Responsibilities:
• Unify Vensure HR data into a single data lake/Lakehouse across all platforms and subsidiaries, with robust governance and security.
• Industrialize data readiness—compile, cleanse, standardize, and productize data for easy consumption by daily reporting, self-service analytics, and AI/ML training.
• Define and execute the enterprise data architecture (data lake/lakehouse, streaming, MDM, metadata, lineage, quality) aligned to business OKRs.
• Select and govern platform standards (e.g., Azure/AWS; Databricks/Snowflake/Synapse; ClientSpace; dbt/Airflow; Power BI/Tableau).
• Build high-throughput, cost-efficient pipelines (batch/streaming) with automated testing, observability, and data SLAs.
• Implement gold/semantic layers for trusted daily and intraday reporting.
• Establish data product ownership, versioning, and change-management for stable AI/ML training sets.
• Implement data governance (catalog, lineage, access controls), privacy-by-design, and retention standards; ensure compliance with SOC 2, HIPAA where applicable, and state/federal employment data regulations.
• Create incident response and data quality playbooks with measurable remediation timelines.
• Mentor teams across data engineering, architecture, governance, and analytics; recruit and develop top talent.
Qualifications:
Required:
• Proven track record building enterprise data lakes/lakehouses and migrating disparate source systems to standardized models.
• Deep expertise in data modeling (3NF, star, data vault), MDM/reference data, metadata/lineage, and data quality frameworks.
• Hands-on leadership with modern stacks: cloud data platforms (Azure preferred), Spark/Databricks or Snowflake, Python/SQL, orchestration (Airflow/dbt), streaming (Kafka/Event Hubs), CI/CD and IaC (Terraform), BI (Power BI/Tableau/Looker).
• Demonstrated success enabling daily operational reporting at scale and producing AI/ML-ready datasets (feature stores, governance for model risk).
• Executive communication skills: able to set vision, influence senior stakeholders, and translate technical roadmaps into business outcomes.
• Experience with PEO/HR Tech, payroll, benefits, workers' comp, or insurance data domains (HRIS, time & attendance, claims, underwriting, policy/billing).
• BS/MS in Computer Science, Data/Software Engineering, Information Systems, or related; MBA or equivalent executive experience preferred.
• 15+ years progressive experience across data architecture, data engineering, and analytics; 7+ years leading large, multi-disciplinary data organizations in complex, multi-brand environments.
Preferred:
• MBA or equivalent executive experience preferred.
Company:
VensureHR is the direct employer services business unit of Vensure Employer Solutions, the largest privately held organization in the HR technology and services sector, delivering workforce solutions to businesses of all sizes. Founded in 2004, the company is headquartered in Chandler, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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