ZipRecruiter

Log In

1

Insurance Data Engineer Jobs in Fort Mill, SC (NOW HIRING)

Tata Consultancy Service Limited

GCP Data Eng

Charlotte, NC · On-site

$90K - $120K/yr

... Programming skills and design patterns.Experience with CICD pipelines, Automated test frameworks ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional ...

AIG

AVP II, Data Platforms

Charlotte, NC

$173K - $217K/yr

Responsibilities This is not a DBA role Leads a team of data engineers/managers or works in ... Insurance domain experience. * For positions based in Jersey City, NJ, the base salary range is ...

Tata Consultancy Service Limited

Developer

Charlotte, NC · On-site

$120K - $135K/yr

Minimum 10+ years Roles & Responsibilities Seeking a Senior Big Data Engineer with 1013 years of ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional ...

next page

Showing results 1-20

All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Fort Mill, SC

Insurance Data Engineer information

See Fort Mill, SC salary details

$39.1K

$114K

$156K

How much do insurance data engineer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for insurance data engineer in Fort Mill, SC is $113,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $120,800.00 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 Fort Mill, SC? For Insurance Data Engineer jobs in Fort Mill, SC, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Fort Mill, SC look for? The top searched job categories for Insurance Data Engineer jobs in Fort Mill, SC are:
Insurance Data Engineer jobs near you
Data Engg. Solution Architect

Data Engg. Solution Architect

Diverse Lynx

Charlotte, NC • On-site

Other

Posted 5 days ago

Job description

Senior Data Engineer / Solution Architect

Charlotte, NC or Jersey City, NJ (In-Person Interview) Best in Market C2C Seeking a Senior Data Engineer with 10+ years of experience in ETL pipelines, AWS data platforms, and modern data architecture. Strong experience with AWS Glue, PySpark, S3, IAM, Apache Iceberg, and ETL frameworks. Expertise in MySQL, PostgreSQL, Db2, Snowflake, JSON, and Parquet. Experience building scalable data pipelines and data lake solutions. Ability to lead teams and communicate with stakeholders. Generative AI experience for automation/testing/documentation. Insurance domain experience. AWS certification. Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

Diverse Lynx logo

About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

Social media

FacebookTwitter

View All Diverse Lynx Jobs

Apply