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

Fortress

Principal Forward Deployed Engineer

Orlando, FL · On-site

$172 - $250/hr

Quickly understand customer processes, systems, data, cyber posture, and business constraints ... Company paid life, short- and long-term disability insurance * Employee Assistance Program * 401(k) ...

Northrop Grumman Corporation

Data Scientist

Apopka, FL · On-site

$108K - $187K/yr

The individual that fills this role will be responsible for applying data science and engineering ... In addition, Northrop Grumman provides a variety of benefits including health insurance coverage ...

Katmai

Data Analyst III

Orlando, FL · Remote

$120K - $140K/yr

... Engineering, or a related field. Master's preferred. · Eight (8) or more years of progressive data ... Eligible Benefits: Medical, Dental, Vision, Life & AD&D Insurance, Long-Term & Short-Term ...

New

Katmai

Data Analyst III

Orlando, FL · On-site +1

$120K - $140K/yr

... Engineering, or a related field. Master's preferred. • Eight (8) or more years of progressive ... Eligible Benefits: Medical, Dental, Vision, Life & AD&D Insurance, Long-Term & Short-Term ...

Apex Systems

Customer Data Platform Analyst

Orlando, FL · On-site

$80 - $95/hr

This role bridges the Marketing, Data, and Engineering teams to ensure data is accurately ingested ... other insurance plans that offer an optional layer of financial protection. We offer an ESPP ...

Versant Media

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

... feature engineering techniques, and scalable transformation processes to ensure accuracy ... insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks.

Versant Limited

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

... feature engineering techniques, and scalable transformation processes to ensure accuracy ... insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks.

Kavaliro

EDI Developer

Orlando, FL · On-site

... insurance transactions across multiple states. The developer will own end?to?end billing workflows ... This role requires close collaboration with billing operations, data teams, and compliance ...

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Showing results 21-40

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

Insurance Data Engineer information

See Orlando, FL salary details

$41.5K

$121.1K

$165.7K

How much do insurance data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for insurance data engineer in Orlando, FL is $121,092.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,900.00 and $128,400.00 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 Orlando, FL?

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

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

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

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

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

Insurance Data Engineer jobs near you

Principal Forward Deployed Engineer

Fortress Information Security

Orlando, FL • On-site, Remote

$172K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Principal Forward Deployed Engineer
Location: Remote
Compensation: $172,000 - $250,000
Employment Type: Full-Time
Travel Requirement: Regular travel between 25-50%
Clearance: Must be eligible for a U.S. Secret Clearance

What you can expect as the Principal Forward Deployed Engineer at Fortress...
The Principal Forward Deployed Engineer operates at the intersection of customer success, solution engineering, cybersecurity, data engineering, and AI-enabled automation. This role works directly with U.S. power utility and government customers to solve urgent cyber and operational risk challenges while turning those learnings into repeatable, productized capabilities. AI-assisted cyber threats are increasing demand for rapid, customer-specific analysis. Customers need to know whether their current defenses can withstand machine-speed vulnerability discovery, exploitation analysis, and attack path evaluation. This role addresses that need through embedded, hands-on engineering: quickly understanding customer processes, systems, data, cyber posture, and constraints, then delivering working solutions in approved customer or secure environments. This is a seasoned, principal-level individual contributor role reporting into Customer Success. This is an ideal opportunity for a senior technologist who wants to work on the front line of AI-era cyber defense for critical infrastructure, combining deep technical delivery with executive-level customer impact and commercial judgment. 

Responsibilities Include
  • Work directly with U.S. power utility and government customers to reduce cyber risk, improve visibility, and respond to AI-assisted threats.
  • Quickly understand customer processes, systems, data, cyber posture, and business constraints.
  • Help customers answer urgent cyber questions, such as which products, vendors, components, assets, or supply chain relationships may be impacted by a newly announced threat or vulnerability.
  • Access, export, normalize, and compare customer data across vulnerability management, endpoint detection, network topology, attack path tooling, asset inventories, software bills of materials (SBOMs), business impact analysis, and supply chain mapping.
  • Write secure, outcome-focused code, including agentic workflows and batch jobs, to surface insights quickly in approved customer or secure environments.
  • Convert bespoke customer work into product requirements that Product Management can formalize into scalable software capabilities.
  • Identify expansion opportunities by demonstrating customer value, shaping repeatable use cases, and connecting services-led problem solving to embedded platform capabilities.
  • Present findings clearly to customer executives, technical teams, and internal stakeholders.
  • Other duties as assigned.
Minimum Qualifications
  • 7-10 years experience combining software/data engineering, cybersecurity analysis, and customer-facing solution engineering at a senior or principal level.
  • Hands-on experience developing AI-agentic workflows (LLM-based automation, agent orchestration, retrieval-augmented pipelines, or similar).
  • Demonstrated ability to access, normalize, and analyze large, messy, multi-source data sets to answer urgent operational questions.
  • Ability to write pragmatic, secure, production-appropriate code (e.g., Python or similar) in constrained or regulated environments.
  • Strong executive communication skills, including presenting complex technical findings to customer leadership.
  • Ability to operate independently in embedded customer environments and manage competing priorities.
  • Must be eligible for a U.S. security clearance; successful completion of a background check is required.
Preferred Skills
  • Experience with U.S. electric utilities or other critical infrastructure sectors.
  • Familiarity with OT/ICS environments and their operational and remediation constraints.
  • Knowledge of NERC CIP or comparable regulatory frameworks.
  • Experience with vulnerability management, attack path analysis, and endpoint/security tooling.
  • Experience with supply chain risk management (SCRM), SBOM/VEX analysis, and third-party risk workflows.
  • Commercial judgment: shaping repeatable use cases and identifying expansion opportunities.
Education
  • Bachelor's degree in computer science, engineering, cybersecurity, or a related field required.
  • Advanced degree or relevant certifications (e.g., security or cloud) preferred.
Employee Benefits
  • Remote and Hybrid working environment
  • Competitive pay structure
  • Medical, dental, vision plans with employees covered up to 90% with highly progressive options for dependents and families
  • Company paid life, short- and long-term disability insurance
  • Employee Assistance Program
  • 401(k) match
  • Flexible Paid Time Off
  • Parental Leave
Employment Perks
  • We provide each employee with professional growth opportunities through succession planning, up-skilling, and certifications
  • Tuition and certification reimbursement
  • Employee Referral Programs
  • Company Sponsored Events
Fortress is proud to be an Equal Opportunity Employer. All employees and applicants will receive consideration for employment without regard to age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law. Fortress Information Security takes part in the E-Verify process for all new hires.
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will have to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

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