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Insurance Data Engineer Jobs in Brandon, FL (NOW HIRING)

Slide Insurance

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or equivalent experience * 3+ years of Data Engineering experience in the Property & Casualty (P&C) insurance industry.

Fintech

Data Engineer - Databricks

Tampa, FL · Hybrid

$108K - $129K/yr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business ... Company Paid Medical Insurance Option for Employee and Dependent Children * Company Paid Dental ...

Fintech

Data Engineer - Databricks

Tampa, FL · On-site

$108K - $129K/yr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business ... Company Paid Medical Insurance Option for Employee and Dependent Children * Company Paid Dental ...

Contact Government Services, LLC

Data Engineer

Tampa, FL

$108K - $129K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

Arbitration Forums Inc.

Senior Cloud Data Engineer

Tampa, FL · Remote

$108K - $147K/yr

Lead Cloud Data Engineer FLSA STATUS: Exempt EMPLOYMENT TYPE: Full-Time JOB PURPOSE: This role at ... Auto Insurance claims industry experience preferred. AMERICANS WITH DISABILITY SPECIFICATIONS ...

Raymondjames

Sr. Data Privacy Engineer

Saint Petersburg, FL · Hybrid

$100K - $136K/yr

Summary The Senior Data Engineer is a key member of the Enterprise Data Privacy & Protection team ... insurance; critical illness insurance and accident insurance; disability benefits; retirement ...

Raymondjames

Lead Cloud Data Engineer

Saint Petersburg, FL · Hybrid

$96K - $127K/yr

Summary We are seeking a highly skilled Lead Cloud Data Engineer to join our team. The ideal ... insurance; critical illness insurance and accident insurance; disability benefits; retirement ...

Worth AI

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... Life Insurance * Flexible Paid Time Off * 9 paid Holidays * Family Leave * Work From Home * Free ...

Worth AI

Data Platform Engineer

Tampa, FL · Remote

$117K - $140K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... Life Insurance * Flexible Paid Time Off * 9 paid Holidays * Family Leave * Work From Home * Free ...

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All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Brandon, FL

Insurance Data Engineer information

See Brandon, FL salary details

$38.7K

$112.7K

$154.2K

How much do insurance data engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for insurance data engineer in Brandon, FL is $112,714.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $119,500.00 per year, depending on experience, location, and employer.

How much do insurance engineers make?

Insurance data engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL can command higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What engineers make $500,000?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. High compensation is often associated with seniority, complex data systems, and working in competitive markets or large organizations.

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 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.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.

What engineers make 300,000 a year?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. High-level roles often involve leadership, complex data architecture, and strategic decision-making, typically in large organizations or with specialized expertise.
What are popular job titles related to Insurance Data Engineer jobs in Brandon, FL? For Insurance Data Engineer jobs in Brandon, FL, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Brandon, FL look for? The top searched job categories for Insurance Data Engineer jobs in Brandon, FL are:
What cities near Brandon, FL are hiring for Insurance Data Engineer jobs? Cities near Brandon, FL with the most Insurance Data Engineer job openings:
Insurance Data Engineer jobs near you

Data Engineer

Slide Insurance

Tampa, FL • On-site

$108K - $129K/yr

Other

Posted 14 days ago

Job description

As an Azure Databricks Data Engineer at Slide, you will build and support data pipelines using Azure Data Factory, Databricks, PySpark, and Spark SQL. You'll partner with engineering and business teams to deliver reliable data for reporting, analytics, and operational decision-making.

What You'll Do

Build Data Pipelines

  • Build and maintain ETL/ELT pipelines using Azure Data Factory and Databricks.
  • Develop PySpark and Spark SQL workloads to ingest, transform, and publish enterprise data.
  • Implement Delta Lake tables using a layered lakehouse architecture.

Optimize and Scale Data Solutions

  • Design scalable data models and processing frameworks for batch and incremental workloads.
  • Optimize Spark workloads, SQL queries, and storage solutions for performance and cost efficiency.
  • Implement data quality, monitoring, and observability practices across the platform.

Support Data Operations

  • Monitor, troubleshoot, and support production data pipelines.
  • Partner with analytics and business teams to deliver trusted, analytics-ready datasets.
  • Contribute to data engineering standards, governance, and platform improvements.
What You Bring
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or equivalent experience
  • 3+ years of Data Engineering experience in the Property & Casualty (P&C) insurance industry.
  • Hands-on experience building and supporting ETL/ELT pipelines using Azure Data Factory and Databricks.
  • Strong SQL skills, including writing and optimizing queries against large datasets.
  • Production experience with PySpark, Spark SQL, Delta Lake, and Databricks Lakehouse architectures.
  • Experience implementing and supporting scalable cloud-based data solutions in Azure.
  • Alignment with Slide's Core Values and collaborative culture

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