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Insurance Data Engineer Jobs in Palm Harbor, FL (NOW HIRING)

Data Engineer

Tampa, FL

$108K - $129K/yr

A data engineer has a deep understanding of performance optimization and data pipelining. In ... Life Insurance STEMBoard is committed to hiring and retaining a diverse workforce. All qualified ...

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

A data engineer has a deep understanding of performance optimization and data pipelining. In ... Life Insurance STEMBoard is committed to hiring and retaining a diverse workforce. All qualified ...

Data Engineer

Tampa, FL · On-site

$112K - $135K/yr

Graham Technologies is seeking a highly skilled Data Engineer to design, develop, and maintain ... Comprehensive Health, Dental, Vision, and Life Insurance * 401(k) Plan with Annual Employer ...

Data Engineer - Databricks

Tampa, FL · On-site

$100 - $130/hr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business ... Company Paid Vision Insurance for Employee * Company Paid Long and Short‑Term Disability

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 ...

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 ...

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 ...

Lead Data Engineer

Saint Petersburg, FL · Hybrid

$96K - $127K/yr

This position plays a key role in supporting Annuity and Life Insurance initiatives, including ... The Lead Data Engineer will lead technical design, development, implementation, troubleshooting ...

SQL Data Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

... insurance companies to manage their specialty line of Surety Bonds. This position is open only to ... Role Summary We are seeking a Database Developer/Administrator with strong development and ...

Data Engineer - PySpark

Tampa, FL · On-site

$60K - $135K/yr

Data Engineer - PySpark City: Tampa State/Province: Florida Posting Start Date: 7/31/26 Wipro ... insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options. Applicants ...

Data Engineer (PySpark)

Tampa, FL · On-site

$108K - $129K/yr

Life and disability insurance * Employee assistance programs * Other benefits as provided by local ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Data Engineer (PySpark)

Tampa, FL · On-site

$108K - $129K/yr

Life and disability insurance * Employee assistance programs * Other benefits as provided by local ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

... auto insurers in the United States. When you join our company, we want you to feel valued ... The Senior Contact Center Data Engineer I is a senior individual contributor responsible for ...

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Showing results 1-20

Insurance Data Engineer information

See Palm Harbor, FL salary details

$39.2K

$114.2K

$156.3K

How much do insurance data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for insurance data engineer in Palm Harbor, FL is $114,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $121,100.00 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 Palm Harbor, FL?

For Insurance Data Engineer jobs in Palm Harbor, FL, the most frequently searched job titles are:

What job categories do people searching Insurance Data Engineer jobs in Palm Harbor, FL look for?

The top searched job categories for Insurance Data Engineer jobs in Palm Harbor, FL are:

What cities near Palm Harbor, FL are hiring for Insurance Data Engineer jobs?

Cities near Palm Harbor, FL with the most Insurance Data Engineer job openings:

Data Engineer

STEMboard

Tampa, FL

$108K - $129K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

STEMBoard is a technology solutions company that creates smart systems and software solutions for government and large-scale private sector clients. We are growing fast and need passionate, innovative people who love working with technology and are ready to make an impact.

Here’s what you can expect from us:

  • You will work with great people who love what they do: our team includes published authors, patent holders, and internationally renowned engineers.
  • We care about our employees: we invest in professional development and reward creativity.
  • Starting day one, every employee is bonus eligible and receives 20 days of paid leave.
  • We invest in the community: STEMBoard boasts a lively education and outreach program that teaches engineering to the historically underserved.


Principal Duties and Responsibilities:

A data engineer has a deep understanding of performance optimization and data pipelining. In addition to the baseline skills of a data analyst, data engineers can make raw data more useful for the enterprise. Data engineers can create and integrate application programming interfaces (APIs). Their technical skills generally include multiple programming languages and a deep knowledge of SQL database design.

The data engineer role requires a more in-depth knowledge in programming for integrating complex models and using advanced software library frameworks to distribute large, clustered data sets. Data engineers collect and arrange data in a form that is useful for analytics. A basic knowledge in machine learning is also required to build efficient and accurate data pipelines to meet the needs for downstream users such as data scientists to create the models and analytics that produce insight.


The Data Engineer shall perform the following tasks:


  • Developing, maintaining, and testing infrastructures for data generation to transform data from various structured and unstructured data sources.
  • Develop complex queries to ensure accessibility while optimizing the performance of NoSQL and or big data infrastructure. Create and maintain optimal data pipeline architecture.
  • Build and maintain the infrastructure to support extraction, transformation, and loading (ETL) of data from a wide variety of data sources. Extract data from multiple data sources, relational SQL and NoSQL databases, and other platform APIs, for data ingestion and integration.
  • Configure and manage data analytic frameworks and pipelines using databases and tools such as NoSQL, SQL, HDInsight, MongoDB, Cassandra, Neo4j, GraphDB, OrientDB, Spark, Hadoop, Kafka, Hive, and Pig.
  • Apply distributed systems concepts and principles such as consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms.
  • Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service (AWS).
  • Coordinate with stakeholders, including product, data and design teams to assist with data-related technical issues and support their data infrastructure needs.


Requirements:


  • Experience: 1+ years of experience with software engineering, data science or related experience.
  • Education: Bachelors or degree in STEM with a preference towards Computer Science or Software Engineering.
  • Tools: Proficient with one or more programming languages (Java, C++, Python, R, etc.)
  • Security Clearance: minimum TOP SECRET level
  • Verifiable work experience working with data structures, database management, distributed computing, and API driven architectures using SQL and No-SQL engines.
  • Proficient in modeling frameworks like Universal Modeling Language (UML), Agile Development, and Git Operations. 


Benefits:


  • Healthcare, Vision, and Dental Insurance
  • 20 Days of PTO
  • 401K Matching
  • Training/Certification Reimbursement
  • Short term/Long term disability
  • Parental/Maternity Leave
  • Military Leave
  • Life Insurance


STEMBoard is committed to hiring and retaining a diverse workforce. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information. Selected applicant will be subject to a background investigation. STEMBoard is an Equal Opportunity/Affirmative Action employer.