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

CRC Group

Senior Data Architect

Charlotte, NC · On-site

$65.75 - $88/hr

... insurance regulations (e.g., NAIC, Privacy, HIPAA, GDPR, CFIUS). • Ensure consistency of master data across operational and analytical systems. • Collaborate with business leaders, data engineers ...

Tihinsurance

Senior Data Architect

Charlotte, NC

$65.75 - $88/hr

Databricks Certified Data Engineer Professional * Azure/AWS Certified Data Architect * Insurance Data Management Association (IDMA) certifications General Description of Available Benefits for ...

Guidehouse

Data Engineer

Charlotte, NC

$53K - $88K/yr

Guidehouse seeks a Data Engineer I to support the development, maintenance, and enhancement of data ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Guidehouse

Data Engineer

Charlotte, NC

$53K - $88K/yr

Guidehouse seeks a Data Engineer I to support the development, maintenance, and enhancement of data ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Pacific Life Insurance Company

Data Engineer II

Charlotte, NC · On-site

$111K - $134K/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 ...

The Hartford

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

Pacificlife

Data Engineer II

Charlotte, NC

$111K - $134K/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 ...

The Hartford

Data Engineer

Charlotte, NC · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

The Hartford

GCP Data Engineer

Charlotte, NC · Hybrid

$111K - $134K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

Guidehouse

Public Health Data Engineer

Charlotte, NC

$111K - $134K/yr

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Genesis10

Data Engineer - Hybrid

Charlotte, NC · On-site

$78.18/hr

Genesis10 is currently seeking a Data Engineer for a Hybrid position with a Global Financial ... Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter ...

Wipro Limited

Snowflake Data Engineer

Charlotte, NC · On-site

$60K - $135K/yr

Snowflake Data Engineer City: Charlotte State/Province: North Carolina Posting Start Date: 7/31/26 ... insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options. Applicants ...

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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 Aug 17, 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.

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.

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.

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

Senior Data Architect

CRC Group

Charlotte, NC • On-site

$65.75 - $88/hr

Full-time

Re-posted 29 days ago

Job description

Job Summary:
TIH is seeking an experienced Data Architect with deep expertise in Databricks and a strong understanding of the insurance industry. The ideal candidate will design and implement scalable data architectures that support advanced analytics, reporting, and AI/BI/ML initiatives across various insurance functions.
Responsibilities:
• Design and implement enterprise data architecture leveraging Databricks Lakehouse, Delta Lake, and Azure cloud-native services
• Define data integration, modeling, and governance frameworks tailored for insurance data domains such as agency, carrier, policy, claims, Invoicing & billing, and reinsurance.
• Create scalable and secure data pipelines that handle structured and unstructured data from internal and external sources.
• Author and maintain technological roadmap with mappings to business capabilities
• Experiment and establish adoption blueprint for emerging capabilities within Databrick and in data technology
• Secure the data with appropriate NIST cyber controls
• Lead the design of ETL/ELT pipelines using PySpark, SQL, Delta Live Tables, Lakeflow connect, Autoloader, Lake flow declarative pipelines, DBT, and Databricks Workflows.
• Partner with actuarial, underwriting, and BI teams to design semantic layers and analytics-ready datasets.
• Optimize performance and cost of Databricks clusters and workflows.
• Enable machine learning and predictive analytics by providing clean, governed, and feature-rich data sets.
• Review solution developed by the divisional teams and vendors to ensure the solution uses modern technology, built to scale, has resilience, and is cost effective to operate.
• Implement data quality, lineage, and metadata management frameworks using tools like Unity Catalog, Collibra, or Alation.
• Establish and enforce data security and compliance policies aligned with insurance regulations (e.g., NAIC, Privacy, HIPAA, GDPR, CFIUS).
• Ensure consistency of master data across operational and analytical systems.
• Collaborate with business leaders, data engineers, divisional data teams, data visualization experts, and platform head to align architecture with organizational goals.
• Mentor teams on best practices for data modeling, Databricks optimization, and cloud data architecture.
• Evaluate new technologies to continuously improve data strategy and capabilities.
Qualifications:
Required:
• Bachelor’s or master’s degree in computer science, Data Engineering, Information Systems, or related field.
• 7+ years of experience in data architecture or data engineering, with at least 4 years in Databricks.
• Strong experience with insurance data models, including policy, claims, premium, fees, agency, underwriting, accounting, and insured domains.
• Expertise in cloud platforms (AWS, Azure, or GCP) and modern data lakehouse architecture.
• Proficiency in SQL, PySpark, Delta Lake, and Databricks SQL.
• Experience integrating with BI tools (Power BI, Tableau, Looker) and data governance tools.
• Excellent communication and stakeholder management skills.
Preferred:
• Experience with streaming data frameworks (Kafka, Delta Live Tables).
• Familiarity with AI/ML pipelines in Databricks.
• Certification(s):
• Databricks Certified Data Engineer Professional
• Azure/AWS Certified Data Architect
• Insurance Data Management Association (IDMA) certifications
Company:
CRC Group is one of the largest wholesale providers of property and casualty insurance. It is a sub-organization of Truist Insurance Holdings. Founded in 1982, the company is headquartered in Charlotte, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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