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Insurance Data Engineer Jobs (NOW HIRING)

Data Engineer

Miami, FL ยท On-site

$109.50K - $131.50K/yr

Data Engineer Location: Miami, FL Reports to: Director of Data Department: Engineering About eMed ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off * Short Term & Long Term Disability

Data Engineer

Charlotte, NC

$111.80K - $134.30K/yr

Direct Client Data Engineer Charlotte, NC 6-month - W2 contract-to-permanent / FTE role HYBRID in ... Power BI, Azure ML, insurance, or complex enterprise data ecosystem experience would be a plus. 1. ...

Manager, Data Engineer (Remote)

Home, PA ยท Remote

$100.50K - $174K/yr

You will also guide engineers and reinforce strong delivery practices, while advancing the team ... Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity ...

New

Manager, Data Engineer (Remote)

Jersey City, NJ ยท Remote

$100.50K - $174K/yr

You will also guide engineers and reinforce strong delivery practices, while advancing the team ... Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity ...

New

Manager, Data Engineer (Remote)

New York, NY ยท Remote

$100.50K - $174K/yr

You will also guide engineers and reinforce strong delivery practices, while advancing the team ... Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity ...

New

Manager, Data Engineer (Remote)

Raleigh, NC ยท Remote

$100.50K - $174K/yr

You will also guide engineers and reinforce strong delivery practices, while advancing the team ... Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity ...

New

Manager, Data Engineer (Remote)

White Plains, NY ยท Remote

$100.50K - $174K/yr

You will also guide engineers and reinforce strong delivery practices, while advancing the team ... Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity ...

New

Manager, Data Engineer (Remote)

White Plains, NY ยท Remote

$100.50K - $174K/yr

You will also guide engineers and reinforce strong delivery practices, while advancing the team ... Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity ...

New

Manager, Data Engineer (Remote)

Raleigh, NC ยท Remote

$100.50K - $174K/yr

You will also guide engineers and reinforce strong delivery practices, while advancing the team ... Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity ...

New

Data Engineer

Grand Rapids, MI ยท On-site

$110K - $132.10K/yr

Job Title Azure Data Engineer Candidates needed with strong Azure data engineering experience ... insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Manager, Data Engineer (Remote)

Jersey City, NJ ยท Remote

$100.50K - $174K/yr

You will also guide engineers and reinforce strong delivery practices, while advancing the team ... Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity ...

New

Data Engineer II

Charlotte, NC

$111.80K - $134.30K/yr

As a Data Engineer II, you will contribute to the design, development, and support of Pacific Life ... Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If ...

Manager, Data Engineer (Remote)

New York, NY ยท Remote

$100.50K - $174K/yr

You will also guide engineers and reinforce strong delivery practices, while advancing the team ... Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity ...

New

Manager, Data Engineer (Remote)

Home, PA ยท Remote

$100.50K - $174K/yr

You will also guide engineers and reinforce strong delivery practices, while advancing the team ... Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity ...

New

Data Engineer

Conshohocken, PA ยท On-site

$100K - $120K/yr

DATA ENGINEER Position Summary The Data Engineer plays a crucial role in designing, developing, and ... Life/ AD&D Insurance * Paid Parental Leave * Long and short term disability * Retirement Plan ...

Data Engineer

Hartford, CT ยท On-site

$70 - $80/hr

Hartford Insurance Group, CT, 06155 Duration: 6+ Months Pay: $70-$80/hr on W2 Key Responsibilities Serve as subject matter expert and/or technical lead for large-scale data products. Drive end-to-end ...

Senior Data Engineer

Overland Park, KS ยท On-site

$103.10K - $140.10K/yr

The insurance industry has not evolved with innovation like other major industries. We're here to ... Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to ...

Data Engineer

Detroit, MI ยท On-site

$108.10K - $129.80K/yr

Comprehensive medical insurance options * Employer-paid benefits including dental, vision, life ... Data Engineering & Pipeline Development * Design, develop, and maintain scalable ETL/ELT pipelines ...

Data Engineer

Grand Rapids, MI

$110K - $132.10K/yr

Job Title Azure Data Engineer Candidates needed with strong Azure data engineering experience ... insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Data Engineer

Detroit, MI

$108.10K - $129.80K/yr

Comprehensive medical insurance options * Employer-paid benefits including dental, vision, life ... Data Engineering & Pipeline Development * Design, develop, and maintain scalable ETL/ELT pipelines ...

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Showing results 1-20

Insurance Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do insurance data engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for insurance data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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.

More about Insurance Data Engineer jobs
What cities are hiring for Insurance Data Engineer jobs? Cities with the most Insurance Data Engineer job openings:
What states have the most Insurance Data Engineer jobs? States with the most job openings for Insurance Data Engineer jobs include:
What job categories do people searching Insurance Data Engineer jobs look for? The top searched job categories for Insurance Data Engineer jobs are:
Infographic showing various Insurance Data Engineer job openings in the United States as of May 2026, with employment types broken down into 59% Full Time, 34% Part Time, and 7% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

eMed LLC

Miami, FL โ€ข On-site

$109.50K - $131.50K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Data Engineer
Location: Miami, FL
Reports to: Director of Data
Department: Engineering
About eMed
eMed is a pioneering digital-health leader built on its Empathetic AIโ„ข Population Health Platform. Our primary mission is to provide large employers, state/federal governments, unions, and payers with unique healthcare solutions aimed at reducing obesity, improving employee health, and lowering company healthcare costs. Our integrated GLP-1 medication weight management program utilizes state-of-the-art at-home blood collection kits and connected clinical telehealth services to screen, onboard, and manage qualified candidates, ensuring medication adherence and effective management of side effects through continuous telehealth support.
Description
We are looking for an experienced Data Engineer to join our team. You will use various methods to transform raw data into useful data systems. For example, you'll create algorithms and conduct statistical analysis. Overall, you'll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods. If you are detail-oriented, with excellent organizational skills and experience in this field, we'd like to hear from you.
Responsibilities
  • Analyze and organize raw data
  • Build data systems and pipelines
  • Interpret trends and patterns
  • Conduct complex data analysis and report on results
  • Prepare data for prescriptive and predictive modeling
  • Build algorithms and prototypes
  • Combine raw information from different sources
  • Explore ways to enhance data quality and reliability
  • Develop analytical tools and programs
  • Collaborate with data scientists and architects on several projects

Requirements
  • 2-4 years experience as a Data Engineer or in a similar role
  • Technical expertise with data models, data mining, and segmentation techniques
  • Knowledge of programming languages (e.g. Python and Javascript preferred)
  • Hands-on experience with SQL
  • Great numerical and analytical skills
  • Degree in Computer Science, IT, or similar field; a Master's is a plus
  • Experience working for a fast-moving start-up or for a health tech company is a plus
  • Experience with event sourcing and event-driven architecture is a plus
  • Experience with AWS-hosted data lakes and data tools is a plus

Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off
  • Short Term & Long Term Disability
  • Training & Development
  • Catered breakfast and lunch daily, snacks
  • Wellness Resources