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Insurance Data Engineer Jobs in Mesa, AZ (NOW HIRING)

Partner with software engineers, data engineers, product managers, and subject-matter experts ... World-class and affordable insurance plans ensure you and your family stay healthy Secure Your ...

Partner with software engineers, data engineers, product managers, and subject-matter experts ... World-class and affordable insurance plans ensure you and your family stay healthy Secure Your ...

Partner with software engineers, data engineers, product managers, and subject-matter experts ... World-class and affordable insurance plans ensure you and your family stay healthy Secure Your ...

A bachelor's degree or 3+ years commensurate experience * 3+ years of work experience in operations, health insurance, data analysis, engineering and/or consulting * 2+ years of experience using data ...

Align data engineering capacity through a blended in-house and MSP model; partner with the Director ... Company paid life Insurance * 401(k) with company match * Paid time off and parental leave

Director Data & AI

Gilbert, AZ · On-site

$171 - $244/hr

... professionals and insurance brokers. Headquartered in Burlington, MA, with additional office ... Align data engineering capacity through a blended in-house and MSP model; partner with the Director ...

Showing results 41-60

Insurance Data Engineer information

See Mesa, AZ salary details

$44.1K

$128.7K

$176.1K

How much do insurance data engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for insurance data engineer in Mesa, AZ is $128,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,600.00 and $136,400.00 per year, depending on experience, location, and employer.

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 Mesa, AZ?

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

What job categories do people searching Insurance Data Engineer jobs in Mesa, AZ look for?

The top searched job categories for Insurance Data Engineer jobs in Mesa, AZ are:

What cities near Mesa, AZ are hiring for Insurance Data Engineer jobs?

Cities near Mesa, AZ with the most Insurance Data Engineer job openings:

Infographic showing various Insurance Data Engineer job openings in Mesa, AZ as of June 2026, with employment types broken down into 100% Full Time. Highlights an 49% In-person, and 51% Remote job distribution, with an average salary of $128,691 per year, or $61.9 per hour.

Sr. Mgr - Data Platform, Business Intelligence - Hybrid

Blue Cross Blue Shield of Arizona

Phoenix, AZ • On-site

$90 - $120/hr

Other

Re-posted 4 days ago


Blue Cross Blue Shield Of Arizona rating

5.9

Company rating: 5.9 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

295th of 315 rated insurance


Job description

Awarded a Healthiest Employer, Blue Cross Blue Shield of Arizona aims to fulfill its mission to inspire health and make it easy. AZ Blue offers a variety of health insurance products and services to meet the diverse needs of individuals, families, and small and large businesses as well as providing information and tools to help individuals make better health decisions.

At AZ Blue, we have a hybrid workforce strategy, called Workability, that offers flexibility with how and where employees work. Our positions are classified as hybrid, onsite or remote. While the majority of our employees are hybrid, the following classifications drive our current minimum onsite requirements:

  • Hybrid People Leaders: must reside in AZ, required to be onsite at least twice per week
  • Hybrid Individual Contributors: must reside in AZ, unless otherwise cited within this posting, required to be onsite at least once per week
  • Hybrid 2 (Operational Roles such as but not limited to: Customer Service, Claims Processors, and Correspondence positions): must reside in AZ, unless otherwise cited within this posting, required to be onsite at least once per month
  • Onsite: daily onsite requirement based on the essential functions of the job
  • Remote: not held to onsite requirements, however, leadership can request presence onsite for business reasons including but not limited to staff meetings, one‑on‑ones, training, and team building

Please note that onsite requirements may change in the future, based on business need, and job responsibilities. Most employees should expect onsite requirements and at a minimum of once per week.

This position is hybrid within the state of AZ only. This hybrid work opportunity requires residency, and work to be performed, within the State of Arizona.

Purpose of the job

The Senior Manager of Data & Platform is responsible for leading the strategic design, integration, and operational intelligence of the organization’s Business Intelligence and data platform ecosystem. This role drives enterprise BI platform success by overseeing the full data lifecycle, including ingestion, transformation (ETL), modeling, and reporting. The Senior Manager ensures scalable, reliable, and high‑performing data solutions that support data‑driven decision‑making.

This leader owns and governs enterprise BI platforms, including Business Objects, Tableau, Power BI, Snowflake, and AI‑enabled analytics tools. This role is accountable for platform performance, adoption, and modernization, while providing insights and recommendations to leadership on platform health, usage, and strategic investments. This leader manages data engineers, analysts, and technical leads, drives Snowflake integration and ETL development, and enables self‑service analytics capabilities while maintaining strong data governance and integrity.

REQUIRED QUALIFICATIONS Required Work Experience
  • 5 years of leadership experience
  • 5 years of Business Intelligence or Data Engineering experience
  • 5 years of ETL, data pipelines, reporting, or analytics platform experience
Required Education
  • High‑School Diploma or GED in general field of study
Required Licenses
  • N/A
Required Certifications
  • N/A
PREFERRED QUALIFICATIONS Preferred Work Experience
  • 7 years of Management experience
  • 7 years of Business Intelligence or Data Engineering experience
  • Experience with Snowflake or cloud‑based data platforms
  • Experience leading BI platform modernization or tool migration initiatives
  • 2 years of healthcare experience
Preferred Education
  • Bachelor’s Degree in Data Science, Business, or related field
Preferred Licenses
  • N/A
Preferred Certifications
  • N/A
ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITIES
  • Develop and implement a data and BI platform strategy aligned to business and IT priorities
  • Drive Snowflake integration and enterprise data platform modernization
  • Establish standards for data architecture, ETL pipelines, and platform governance
  • Lead and manage data engineering teams responsible for ETL and data pipelines
  • Oversee development of scalable data ingestion and transformation processes
  • Ensure data quality, reliability, and availability across all platforms
  • Own and manage enterprise BI tools including Business Objects, Tableau, Power BI, and Snowflake
  • Drive BI platform consolidation and migration strategies
  • Enable self‑service analytics while maintaining governance and standards
  • Establish and monitor operational intelligence metrics including platform adoption, performance, and reliability
  • Provide insights and recommendations to leadership on platform health and performance
  • Partner with business and product teams to prioritize platform initiatives
  • Manage backlog and delivery of platform‑related work
  • Provide communication on platform initiatives and performance
  • Lead technical teams and provide hands‑on guidance across ETL, SQL, and BI tools
  • Develop and mentor data engineers and technical leads
  • Support enterprise data, analytics, and automation initiatives
  • Perform all other duties as assigned
  • Engage the support and buy‑in of leaders within the organization by promoting the importance and value of the Business Intelligence model and processes.
  • Lead and participate in other corporate projects as assigned.
  • This position has an onsite expectation of 2 days per week and requires a full‑time work schedule. Full‑time is defined as working at least 40 hours per week, plus any additional hours as requested or as needed to meet business requirements.
REQUIRED COMPETENCIES Required Job Skills
  • Advanced leadership and consensus building skills
  • Strong expertise in ETL, data pipelines, and SQL development
  • Proficiency with BI tools including Power BI, Tableau, and Business Objects
  • Experience with cloud data platforms such as Snowflake
  • Ability to translate complex data into clear, actionable insights
  • Strong analytical and problem‑solving skills
  • Ability to manage multiple priorities and deliver results
  • Strong communication skills across all levels of the organization
Required Professional Competencies
  • Advanced leadership and consensus building skills
  • Ability to independently lead others and facilitate projects from start to finish
  • Results focused with successful record of accomplishments
  • Conceptual and tactical planning skills
  • Ability to manage multiple priorities
  • Maintain confidentiality and privacy
  • Intermediate coaching, training and mentoring skills
  • Ability to think about customer and employee needs when evaluating possible solutions
Required Leadership Experience and Competencies
  • Demonstrates political awareness and a proven track record of building effective working relationships with senior level business partners both internally and externally.
  • Ability to coordinate with stakeholders across the company and manage occasionally competing interests.
  • Ability to work with others collaboratively in a constantly changing environment.
  • Ability to motivate and empower associates at all levels and encourages innovation and risk taking.
  • Leadership and matrix management skills
PREFERRED COMPETENCIES Preferred Job Skills
  • Advanced planning and project management skills
  • Knowledge of statistical concepts and capabilities.
  • Data collection and warehousing knowledge
  • Knowledge of healthcare industry.
  • Advanced PC proficiency
  • Advanced proficiency in SQL, Tableau, Power BI, ETL (SSIS), Active Batch, Business Objects, and Splunk
Preferred Professional Competencies
  • Advanced skills in influence, persuasion, negotiation and problem resolution
  • Advanced coaching, training and mentoring skills
  • Thorough knowledge of the company’s needs, policies and culture
Preferred Leadership Experience and Competencies
  • Ability to lead others in the same or higher levels to a valuable solution that may be novel or have no known set precedence in the customer experience or operational outsourcing areas
Our Commitment

AZ Blue does not discriminate in hiring or employment on the basis of race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other protected group.

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