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Insurance Data Engineer Jobs in Arizona (NOW HIRING)

Infosys

AWS Data Engineer

Tempe, AZ · On-site

$111.40K - $133.80K/yr

We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to ... Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) * 401(k) plan and contributions ...

Kestra Holdings

Senior Data Platform Engineer

Tempe, AZ · On-site

$109.70K - $131.70K/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 ...

Oscar Health

Associate, Provider Data Analytics

Tempe, AZ · On-site

$87.19K - $114.43K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... Bachelor's degree in Engineering, Business Administration, or other related field * Lean Six Sigma ...

Oscar Health

Associate, Provider Data Analytics

Tempe, AZ · Hybrid

$87.19K - $114.43K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... Bachelor's degree in Engineering, Business Administration, or other related field * Lean Six Sigma ...

Oscar Health

Associate, Provider Data Analytics

Tempe, AZ · Hybrid

$87.19K - $114.43K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... Bachelor's degree in Engineering, Business Administration, or other related field * Lean Six Sigma ...

Oscar Health

Associate, Provider Data Analytics

Tempe, AZ · Hybrid

$87.19K - $114.43K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... Bachelor's degree in Engineering, Business Administration, or other related field * Lean Six Sigma ...

American Express

Data Engineers

Phoenix, AZ

$113.70K - $136.50K/yr

American Express Travel Related Services Company, Inc. seeks Data Engineers to work with product ... insurance, and disability benefits 20+ weeks paid parental leave for all parents, regardless of ...

American Express

Data Engineers

Phoenix, AZ

$113.70K - $136.50K/yr

American Express Travel Related Services Company, Inc. seeks Data Engineers to work with product ... insurance, and disability benefits 20+ weeks paid parental leave for all parents, regardless of ...

American Express

Data Engineers

Phoenix, AZ · On-site

$117.40K - $174.75K/yr

American Express Travel Related Services Company, Inc. seeks Data Engineers to work with product ... life insurance, and disability benefits • 20+ weeks paid parental leave for all parents ...

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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 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 May 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution.

Senior Vice President of Enterprise Data - AZ - On site

Vensure Employer Services

Chandler, AZ • On-site

$66.25 - $88.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

We are a proud work-from-office company. If you're ready to work on-site in a dynamic, global company, we'd love to hear from you.
About Us
Vensure Employer Solutions is the largest privately held organization in the HR technology and service sector, providing a comprehensive portfolio of solutions, including HR/HCM technology, managed services, and global business process outsourcing (BPO). The company and its service providers collectively serve over 95,000 businesses and process over $135B in annual payroll. As a "One Employer Solution" headquartered in Chandler, Arizona, Vensure helps thousands of businesses streamline and grow their operations with custom strategies that benefit both employers and employees. Find out more by visiting www.vensure.com .
Position Summary
The Senior Vice President of Enterprise Data is an executive leader and main data architect responsible for operationalizing a unified, enterprise-grade data foundation that powers daily reporting, advanced analytics, and AI across our HR, payroll, and insurance businesses. The SVP will own the end-to-end data strategy-spanning architecture, engineering, and governance helping to drive a cultural shift toward data reliability, speed, and reuse at scale.
Essential Duties and Responsibilities
Top Priorities (First 12-18 Months)
1. Unify Vensure HR data into a single data lake/Lakehouse across all platforms and subsidiaries, with robust governance and security.
2. Industrialize data readiness-compile, cleanse, standardize, and productize data for easy consumption by daily reporting, self-service analytics, and AI/ML training.
Key Responsibilities
  • Data Strategy & Architecture

o Define and execute the enterprise data architecture (data lake/lakehouse, streaming, MDM, metadata, lineage, quality) aligned to business OKRs.
o Select and govern platform standards (e.g., Azure/AWS; Databricks/Snowflake/Synapse; ClientSpace; dbt/Airflow; Power BI/Tableau).
  • Data Engineering & Operations

o Build high-throughput, cost-efficient pipelines (batch/streaming) with automated testing, observability, and data SLAs.
o Implement gold/semantic layers for trusted daily and intraday reporting.
o Establish data product ownership, versioning, and change-management for stable AI/ML training sets.
  • Governance, Risk, & Compliance

o 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.
o Create incident response and data quality playbooks with measurable remediation timelines.
  • People & Operating Model

o Mentor teams across data engineering, architecture, governance, and analytics; recruit and develop top talent.
  • Stakeholder Partnership & Value Realization

Knowledge, Skills, and Abilities
  • 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.
  • Industry plus: experience with PEO/HR Tech, payroll, benefits, workers' comp, or insurance data domains (HRIS, time & attendance, claims, underwriting, policy/billing).

Leadership & Operating Model
  • Establish a federated-to-centralized model: central standards and platforms with domain-aligned data product teams.
  • Drive a culture of accountability with outcome-based metrics, transparent roadmaps, and executive dashboards.

Success Metrics (Illustrative)
  • 90 days: Target state architecture & migration plan; baseline data inventory, lineage, and quality; staffing and operating model finalized with SVP Analytics.
  • 6 months: First unified domains in lakehouse (e.g., HR, payroll), certified daily KPI packs live, data SLAs operational; AI feature store v1.
  • 12 months: 70%+ critical sources unified; daily reporting reliability >99%; time-todataset reduced by 50%; 3+ AI initiatives trained on governed datasets.
  • 18 months: Full run-rate operating model; cost per query and pipeline efficiency improved; measurable ROI from analytics & AI programs.

Education & Experience
  • 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.

Required Licenses and/or Certifications
  • None

Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.
  • Frequently required to sit; occasionally required to stand and walk.
  • Specific vision abilities required include close vision, color vision, and ability to adjust focus.
  • Frequently required to talk and hear.
  • Moderate concentration/intensity, which includes prolonged mental effort.

Disclaimer
The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor.
This position is eligible for the following benefits:
  • Health Insurance: Medical, dental, and vision coverage
  • Retirement Plan: 401(k) with company match
  • Paid Time Off: PTO, Holidays, Parental leave and Sick Leave provided as required by applicable state law
  • Other Benefits: Life insurance, short term disability, long term disability, employee assistance program (EAP), flexible spending account (FSA), health savings account (HSA), Identity theft protection, critical illness, accident, cancer, hospital protection, legal and pet insurance.
  • Additional Compensation: [e.g., signing bonus, commission structure] if applicable

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