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

Data Engineer I

Phoenix, AZ

$113K - $136K/yr

Comprehensive medical, dental, vision, life insurance, and disability benefits * Flexible working ... Strong programming skills in Python and experience with Apache Spark * Strong understanding of data ...

New

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 ...

Partner with engineering teams to support their detailed solutions and implementation through ... Experience with Guidewire Insurance Suite data * Azure Solutions Architect certification (nice-to ...

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineering ETL processes data wrangling and feature engineering * Insurance Reinsurance Domain Knowledge Exposure to actuarial models risk assessment and claims analytics Technical Skills: * R ...

Data Center Infrastructure Engineer We are seeking an experienced Data Center Infrastructure ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

Data Center Infrastructure Engineer We are seeking an experienced Data Center Infrastructure ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

Showing results 21-40

Insurance Data Engineer information

See Phoenix, AZ salary details

$44.2K

$128.8K

$176.2K

How much do insurance data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for insurance data engineer in Phoenix, AZ is $128,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $136,500.00 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.

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.

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 popular job titles related to Insurance Data Engineer jobs in Phoenix, AZ?

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

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

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

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

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

Infographic showing various Insurance Data Engineer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $128,797 per year, or $61.9 per hour.

Senior Data Engineer - Work From Home

Next Step Systems

Phoenix, AZ • On-site, Remote

$105K - $143K/yr

Full-time

Medical, Retirement, PTO

Re-posted 10 days ago


Job description

Senior Data Engineer - Work From Home
This Senior Data Engineer position is a 100% Remote opportunity.
We are looking for an experienced Data Engineer to join the data platform team, which is at the heart of how we generate customer value in our product suite. Your responsibilities will include creating pipelines and tooling to find new business opportunities, while strengthening current products. You'll be directly working with Data Scientists, Product Managers as well as members of the executive team.
We are looking for someone, highly organized and process-oriented who is intellectually curious, puts the team first, experienced in designing high quality products, has extensive experience in data engineering technology and processes and is interested in the cannabis industry. The job requires a self-motivated individual who is comfortable working in a startup with a fast pace and deeply committed team and enjoys learning and using technology to solve real-world problems.
Qualifications:
- 5+ years in Software Engineering, Business Intelligence and/or Data Science.
- Excellent quantitative skills.
- Expertise in cloud-based and data technologies i.e., Snowflake, Databricks, Redshift, big Query, Airflow, DBT, Looker, Tableau, Sigma.
- Fluent in SQL and Python and/or Scala.
- Familiar with infrastructure frameworks such as Terraform and k8s.
- Comfortable with Data Science practice and ML-based workflows.
Benefits include medical insurance, retirement plan, PTO, etc. Salary: 80K+ DOE. Keywords: Phoenix AZ Jobs, Senior Data Engineer, Snowflake, Databricks, Redshift, Airflow, DBT, Looker, Tableau, Sigma, SQL, Python, Scala, Business Intelligence, BI, Data Science, Quantitative, Terraform, K8s, Arizona Recruiters, Information Technology Jobs, IT Jobs, Arizona Recruiting
Looking to hire for similar positions in Phoenix, AZ or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Senior Data Engineers for jobs in Phoenix, Arizona and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Phone 630-428-0600 ext. 11 or email us at jobs@nextstepsystems.com. Click here to submit your resume for this job and others.
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