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Insurance Data Engineer Jobs in Arizona (NOW HIRING)

KUBRA

Data Engineer

Tempe, AZ · On-site

$109.70K - $131.70K/yr

... insurance, and government entities. From billing and payments to mapping and proactive ... About the Role We're looking for a Data Engineer to join our Product Development - Business ...

KUBRA

Data Engineer

Tempe, AZ

$109.70K - $131.70K/yr

... insurance, and government entities. From billing and payments to mapping and proactive ... About the Role We're looking for a Data Engineer to join our Product Development - Business ...

KUBRA

Data Engineer

Tempe, AZ · On-site

$109.70K - $131.70K/yr

... insurance, and government entities. From billing and payments to mapping and proactive ... About the Role We're looking for a Data Engineer to join our Product Development - Business ...

KUBRA

Data Engineer

Tempe, AZ · On-site

$111.40K - $133.80K/yr

... insurance, and government entities. From billing and payments to mapping and proactive ... About the Role We're looking for a Data Engineer to join our Product Development - Business ...

Tata Consultancy Services

Data Engineer

Chandler, AZ · On-site

$120K - $130K/yr

We are looking for an accomplished and experienced Data Engineer with the following skills ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional ...

EXL Service

Principle Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Insurance, Health, Analytics, and Emerging businesses. Required Skills: Python, Pyspark/Spark, SQL, Data Lake (ON Prem or cloud) AWS, Snowflake. Job Summary: The Data Engineer's role is to play a ...

Genesis10

Sr Data Engineer

Scottsdale, AZ · On-site

$78.18/hr

Genesis10 is currently seeking a Sr Data Engineer for a hybrid position with a Major Financial ... Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF ...

Apex Systems

Test Data Engineer

Phoenix, AZ

$55 - $60/hr

Job#: 3028567 Test Data Engineer Location: Phoenix, Arizona (Partial Remote) Employment Type ... other insurance plans that offer an optional layer of financial protection. We offer an ESPP ...

Indeed

Data Engineer II

Scottsdale, AZ · On-site

$115.80K - $139.10K/yr

... about data and learning new technologies * Demonstrated experience in software engineering ... insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based ...

Genesis10

Senior Data Engineer - Hybrid

Scottsdale, AZ · Hybrid

$70 - $80/hr

Senior Data Engineer - Hybrid Genesis10 is currently seeking a Senior Data Engineer - Hybrid for a ... Voluntary Term Life Insurance * 401K * Sick Pay (for applicable states/municipalities) * Commuter ...

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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.

Data Engineer

KUBRA

Tempe, AZ • On-site

$109.70K - $131.70K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

About Us

KUBRA provides customer experience management solutions to some of North America's largest utility, insurance, and government entities. From billing and payments to mapping and proactive communications, our solutions help organizations deliver seamless, reliable customer experiences at scale.

With a strong focus on innovation, security, and data-driven insights, KUBRA empowers millions of customers every day. Joining KUBRA means being part of a collaborative, forward-thinking team that values technology, continuous improvement, and delivering meaningful impact.

About the Role

We're looking for a Data Engineer to join our Product Development - Business Intelligence team. In this role, you'll design, build, and maintain scalable data infrastructure and cloud-based data pipelines that enable reliable data processing, reporting, and insights.

You'll work closely with BI Analysts, product teams, and cross-functional partners to ensure data is high-quality, accessible, and structured for analysis. This role supports business intelligence efforts by developing data models, improving ETL processes, automating manual workflows, and helping deliver reliable client-facing reporting solutions.

How You'll Contribute
  • Design, build, and maintain scalable cloud-based data pipelines and ETL processes to support BI and reporting solutions
  • Develop and maintain data infrastructure across SQL Server, AWS, and cloud-based data platforms
  • Build, troubleshoot, and optimize data pipelines using PySpark, Databricks, SQL, and cloud data services
  • Design and implement data models optimized for analytics, warehousing, and reporting use cases
  • Partner with BI Analysts to manage client reporting requirements and support data-driven insights
  • Automate manual data processes to improve efficiency, consistency, and data quality
  • Maintain and improve existing data infrastructure, pipelines, and reporting data flows
  • Work with the product Technical Writer to document data infrastructure, pipelines, models, and processes
  • Collaborate with Product, BI, Engineering, and Data Analytics teams to support reliable reporting and analytics solutions
  • Share technical knowledge with coworkers and contribute to continuous improvement of data systems and processes
  • Stay current with modern data engineering technologies, including Databricks, PySpark, cloud platforms, data modeling, and streaming data tools
  • Participate in client-facing sessions when needed, including design discussions, technical presentations, and training
Strengths That Shine in This Role
  • Strong problem-solving mindset with a focus on data quality, reliability, and continuous improvement
  • Ability to translate BI and reporting requirements into scalable technical data solutions
  • Strong communication skills and professionalism when working with internal teams and clients
  • Collaborative approach with the ability to build relationships across technical and non-technical teams
  • Ability to influence others, manage conflicts, and support productive technical discussions
  • Proactive and self-driven, with the ability to work independently in a results-focused environment
  • Strong organization and time management skills, especially when balancing multiple priorities
  • Comfortable troubleshooting issues, handling pressure, and supporting business-critical reporting needs
  • Willingness to share knowledge, document work clearly, and contribute to a cohesive team environment
Skills That Matter in This Role
  • Bachelor's or Master's degree in Computer Science, Statistics, Analytics, Data Engineering, or a related field
  • 3-5 years of cloud data engineering experience on a major cloud platform, preferably AWS
  • Hands-on experience building data pipelines in cloud environments
  • Demonstrable experience with PySpark
  • Hands-on experience with Databricks
  • Strong proficiency in SQL and experience working with SQL Server or similar relational databases
  • Hands-on knowledge of data modeling, data warehousing, and BI reporting concepts
  • Experience designing data models that support analytics, reporting, and business intelligence use cases
  • Familiarity with BI tools and reporting environments such as Power BI or Tableau
  • Experience maintaining, troubleshooting, and optimizing ETL/data pipeline processes
  • Experience with streaming data tools such as Kafka, Kinesis, or similar technologies is an asset
  • Experience documenting technical processes, data infrastructure, and pipeline logic
  • Ability to participate in occasional client-facing design sessions, presentations, or training as needed
Why You'll Love Working Here
  • Thrive in an award-winning, innovation-driven culture that champions growth, embraces diversity, and fosters inclusion for all. See our awards
  • Earn competitive pay with annual performance-based bonuses that recognize your impact
  • Invest in your future with our 401(k) plan featuring company matching
  • Stay healthy with comprehensive medical, dental, and vision coverage, plus HSA and FSA options
  • Recharge with paid vacation and sick days - and a paid day off for your birthday
  • Make an impact with two paid volunteer days to give back to your community
  • Advance your skills with free access to LinkedIn Learning and our education reimbursement program
  • Prioritize your mental health with a free premium Headspace membership
  • Stay active with our on-site fitness center (Tempe office only)
  • Refuel at fully stocked refreshment stations with complimentary drinks and snacks
  • Enjoy exclusive perks with access to "Tickets at Work" discounts and memberships
KUBRA is an equal opportunity employer dedicated to building an inclusive and diverse workforce. We will provide accommodations during the recruitment process upon request by emailing [email protected]. Information received relating to accommodation will be addressed confidentially. We thank all applicants for their interest; however, only candidates under consideration will be contacted.
 
#LI-AA1

While we value the skills and experiences listed in our job requirements, we also recognize that talent comes in many forms, and welcome applications from candidates who meet most but not all specified requirements. If you possess a strong desire to learn and grow in a dynamic work environment, apply now!
 
KUBRA is a fast-growing company that delivers customer communications solutions to some of the largest utility, insurance, and government entities across North America. KUBRA offers billing and payments, mapping, mobile apps, proactive communications, and artificial intelligence solutions for customers. With more than 1.5 billion customer interactions annually, KUBRA services reach over 40% of households in the U.S. and Canada. KUBRA is an operating subsidiary of Hearst.
 
Our office is small enough to allow creative individuals to flourish, yet large enough to provide long-term stability. We place a tremendous amount of responsibility on our team members to be productive, focused and self-motivated. We offer a casual work environment, competitive compensation and a stellar benefits program. 
 
KUBRA does not typically provide immigration-related assistance, including employment-based work visa (e.g. H-1B) sponsorship, work permit applications and extensions, permanent residence (green card) sponsorship, LMIA applications or permanent residency nominations. Candidates must ensure they have legal authorization to work in the U.S/ Canada. All sponsorship determinations are case by case based on business need.
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