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

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 ...

Senior Data Architect

Charlotte, NC · On-site

$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 ...

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 ...

Data Engineer

Charlotte, NC · On-site

$111K - $134K/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 ...

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Data Engineer

Charlotte, NC · On-site

$111K - $134K/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 ...

GCP Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Key Responsibilities Data Engineering & Pipeline Development • Design, build, and maintain ... Life and disability insurance * Employee assistance programs * Other benefits as provided by local ...

New

Data Engineer

Charlotte, NC · On-site

$105K - $126K/yr

Medical / Dental / Vision Insurance * Employer paid Life Insurance and Long-Term Disability ... The Data Management Engineer will be a significant contributor and often the lead technical ...

Data Engineer II

Charlotte, NC · On-site

$108K - $136K/yr

... self-insured employers, * Judi Health™ , which offers full-service health benefit management ... Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented ...

Lead Data Engineer- Investments

Charlotte, NC · On-site

$111K - $134K/yr

We're seeking talented Lead Data Engineer to join our Pacific Life Investments Data Team onsite in ... Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If ...

The Personal Insurance Loss and Demand Modeling Team is looking for a skilled Sr Staff Data Engineer to join our team. This role will focus on positioning our loss modeling frameworks for the future ...

Big Data Engineer - Onsite

Charlotte, NC · On-site

$63.94 - $71.94/hr

Genesis10 is currently seeking a Big Data Engineer for an onsite position located in Charlotte, NC ... Voluntary Term Life Insurance * 401K * Sick Pay (for applicable states/municipalities) * Commuter ...

The Knowledge / Data Engineer is responsible for building the semantic bridge between process ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

Senior Data Engineer

Charlotte, NC · On-site

$60 - $65/hr

A client of Innova Solutions is immediately hiring for a Senior Data Engineer Position Type ... Medical & pharmacy coverage, Dental/vision insurance, 401(k), Health saving account (HSA) and ...

Azure Data Engineer - Hybrid

Charlotte, NC · On-site

$63.94 - $73.94/hr

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

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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:
Senior Data Architect

$65.75 - $88/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

The position is described below. If you want to apply, click the Apply button at the top or bottom of this page. You'll be required to create an account or sign in to an existing one.

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (careers@crcgroup.com?subject=Accommodation%20request) (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st Shift (United States of America)

Please review the following job description:

We are 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 Broking, Binding, underwriting, claims, actuarial, and policy management functions.

Key Responsibilities:

Data Architecture & Strategy

  • 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

Data Engineering & Analytics Enablement

  • 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.

Governance & Quality

  • 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.

Collaboration & Leadership

  • 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.

Required Qualifications:

  • 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 Skills:

  • 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

General Description of Available Benefits for Eligible Employees of CRC Group: At CRC Group, we're committed to supporting every aspect of teammates' well-being – physical, emotional, financial, social, and professional. Our best-in-class benefits program is designed to care for the whole you, offering a wide range of coverage and support. Eligible full-time teammates enjoy access to medical, dental, vision, life, disability, and AD&D insurance; tax-advantaged savings accounts; and a 401(k) plan with company match. CRC Group also offers generous paid time off programs, including company holidays, vacation and sick days, new parent leave, and more. Eligible positions may also qualify for restricted stock units and/or a deferred compensation plan.

CRC Group supports a diverse workforce and is an Equal Opportunity Employer that does not discriminate against individuals on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status or other classification protected by law. CRC Group is a Drug Free Workplace.

EEO is the Law (https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf) Pay Transparency Nondiscrimination Provision E-Verify (https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf)

Join CRC Group, a leader in specialty wholesale insurance, and take your career to new heights. We're a dynamic team dedicated to innovation, collaboration, and excellence.

Why CRC Group?

• Growth: Advance your career with our learning and leadership development programs.

• Innovation: Work in a forward-thinking environment that values new ideas.

• Community: Be part of a supportive team that celebrates success together.

• Benefits: Enjoy competitive compensation, health benefits, and retirement plans.

Who We’re Looking For

We seek passionate individuals who thrive in a fast-paced, collaborative environment. If you value integrity and are driven to succeed, CRC Group is the place for you.