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Insurance Data Engineer Jobs in Cornelius, NC (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 · 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 ...

Data Engineer

Charlotte, NC · On-site

$108K - $120K/yr

You will be a valued member of the Data Engineering team and work collaboratively with architects ... Medical/Dental/Vision/Life Insurance * Paid holidays plus Paid Time Off * 401(k) plan and ...

New

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 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 ...

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 ...

New

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 ...

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 ...

New

Strong hands-on experience in Data Engineering development using Python and Pyspark as an ETL tool ... Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA ...

Strong hands-on experience in Data Engineering development using Python and Pyspark as an ETL tool ... Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account (HSA)

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Showing results 1-20

Insurance Data Engineer information

See Cornelius, NC salary details

$41.2K

$120K

$164.3K

How much do insurance data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for insurance data engineer in Cornelius, NC is $120,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $127,200.00 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 cities near Cornelius, NC are hiring for Insurance Data Engineer jobs? Cities near Cornelius, NC with the most Insurance Data Engineer job openings:
Infographic showing various Insurance Data Engineer job openings in Cornelius, NC as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $120,035 per year, or $57.7 per hour.

$65.75 - $88/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 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 (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 unitsand/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.

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