ZipRecruiter

Log In

1

Insurance Data Engineer Jobs in Mount Airy, NC (NOW HIRING)

Inmar

Senior Software Engineer - Informix

Winston Salem, NC

$113K - $149K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Analyze and resolve complex system issues related to configuration, software design, data accuracy ... Medical, Dental, and Vision insurance * Basic and Supplemental Life Insurance options * 401(k) ...

ZIEHL-ABEGG

IT Software Developer

Winston Salem, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build, maintain, and troubleshoot APIs, web services, data exchange processes, and interface jobs ... Company-paid Life insurance, Short and Long-Term Disability insurance, and Parental leave. * 401(k) ...

Quest Global

CMM Programmer

Winston Salem, NC

$35 - $38/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Familiarity with CAD/CAM systems and product data management systems, preferably Siemens NX ... We also offer a comprehensive benefits package, including health insurance, paid time off, and ...

Quest Global

Cmm Programmer

Winston Salem, NC · On-site

$35 - $37/hr

Familiarity with CAD/CAM systems and product data management systems, preferably Siemens NX ... Vision insurance Company Description Who We Are: Quest Global delivers world-class end-to-end ...

previous pagenext page

Showing results 21-40

All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Mount Airy, NC

Insurance Data Engineer information

See Mount Airy, NC salary details

$38.4K

$111.8K

$153K

How much do insurance data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for insurance data engineer in Mount Airy, NC is $111,814.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $118,500.00 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.

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 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.

What cities near Mount Airy, NC are hiring for Insurance Data Engineer jobs?

Cities near Mount Airy, NC with the most Insurance Data Engineer job openings:

Insurance Data Engineer jobs near you

Product Operations Analyst (Data & Insights)

INMAR, Inc.

Winston Salem, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 19 days ago

Job description

Position Summary:
As a Product Operations Analyst (Data & Insights) within our Product Organization, you will play a critical role in enabling data-driven decision-making across the product lifecycle. This role focuses on analyzing product performance, customer behavior, and business metrics to generate actionable insights that inform product strategy, operational efficiency, and growth.
You will partner cross functionally to ensure alignment between product performance and business objectives. This role requires a strong foundation in analytics, business acumen, and the ability to translate complex data into clear, compelling insights.
This position offers the opportunity to build expertise in product analytics, experimentation, and strategic planning while contributing to a fast-paced, continuously improving product organization.
Primary Accountabilities:
Product Strategy & Performance Insights (40%)
  • Support the development of product strategy and long-term objectives through data-driven insights and performance analysis.
  • Analyze product data on usage, feature adoption, customer behavior, and performance trends to identify opportunities and risks.
  • Partner with Product Managers to provide insights that support roadmap prioritization and strategic decision-making.
  • Translate complex datasets into clear insights and recommendations for product leadership and stakeholders.
Data Analysis, Metrics & Reporting (40%)
  • Define, track, and report on key performance indicators (KPIs) related to product effectiveness, customer experience, growth, and operational health.
  • Write and execute queries on large datasets to support ongoing analysis and ad hoc business questions.
  • Develop and maintain dashboards and reporting frameworks to provide visibility into product performance.
  • Monitor product and operational performance to proactively identify issues impacting adoption, retention, and profitability.
  • Deliver regular reporting and insights to stakeholders, highlighting trends, risks, and actionable recommendations.
Continuous Improvement & Experimentation (20%)
  • Support a culture of experimentation by designing, measuring, and interpreting A/B and multivariate tests.
  • Ensure analytical rigor in experimentation and clearly communicate results and implications.
  • Identify opportunities to improve product operations processes, data quality, and reporting efficiency.
  • Stay current on industry best practices in product analytics, experimentation, and data tooling.
  • Collaborate cross-functionally to drive continuous improvement across the product development lifecycle.

Qualifications:
Technical Skills and Experience:
  • Education: Bachelor's degree in Business, Data Analytics, Computer Science, Statistics, or a related field.
  • Experience:
    • 2-4+ years of experience in product analytics, business intelligence, or a related analytical role.
  • Preferred Skills:
    • Strong proficiency in querying large datasets (e.g., SQL).
    • Experience with BI and analytics tools such as Power BI, Looker, Tableau, or similar.
    • Experience designing and analyzing A/B or multivariate experiments.
    • Familiarity with Agile product development methodologies.
    • Experience aligning analytics with OKRs, planning processes, and operational reporting.
    • Exposure to data modeling, Python, R, or advanced statistical techniques is a plus.
    • Experience in SaaS, technology, or platform-based organizations preferred.

Soft Skills:
  • Analytical Thinking: Strong ability to interpret complex data and translate it into actionable business insights.
  • Communication: Excellent written and verbal communication skills, with the ability to influence stakeholders.
  • Collaboration: Ability to work cross-functionally and build strong relationships across product, engineering, and business teams.
  • Problem-Solving: Proactively identifies issues and opportunities, with a focus on measurable outcomes.
  • Adaptability: Thrives in a fast-paced, dynamic environment with evolving priorities.

Physical Demands:
  • Regularly required to operate a computer and participate in virtual and in-person meetings.
  • Occasionally required to move or lift up to 25 pounds.

As an Inmar Associate, You Will:
  • Contribute to impactful, data-driven product decisions that improve customer outcomes and business performance.
  • Develop advanced analytical and product operations skills with opportunities for career growth.
  • Collaborate with cross-functional teams to drive innovation, efficiency, and continuous improvement across the organization.

At Inmar, we put people first and that means empowering our associates to thrive at every stage of life and career. Our comprehensive and competitive benefits package is thoughtfully designed to support a wide range of lifestyles and life stages.
Eligible associates have access to:
  • Medical, Dental, and Vision insurance
  • Basic and Supplemental Life Insurance options
  • 401(k) retirement plans with company match
  • Health Spending Accounts (HSA/FSA)

We also offer:
  • Flexible time off and 11 paid holidays
  • Family-building benefits, including Maternity, Adoption, and Parental Leave
  • Tuition Reimbursement and certification support, reflecting our commitment to lifelong learning
  • Wellness and Mental Health counseling services
  • Concierge and work/life support resources
  • Adoption Assistance Reimbursement
  • Perks and discount programs

Please note that eligibility for some benefits may depend on your job classification and length of employment. Benefits are subject to change and may be governed by specific plan or program terms.
At Inmar, compensation reflects our belief in integrity, transparency, and the value of individual contributions. The hiring range for this position is:
58,762.13 - 97,936.88 USD Annual
The final offer may vary based on factors such as geographic location, job-related skills, education, certifications, work experience, and other relevant considerations.
Depending on the job level and role, it may include:
  • Annual discretionary bonuses through our Core Company Performance Bonus Plan
  • Equity grants, sign-on bonuses, and other tailored incentive opportunities
  • Additional discretionary compensation, such as:
    • Growing Revenue Incentives
    • Corporate or VIP Bonuses
    • Deferred compensation opportunities

The actual annualized salary offered at the time of hire will be communicated in the candidate's offer letter. We remain committed to fairness and transparency across all locations. Where required, including for remote-eligible roles, local pay ranges are disclosed in accordance with applicable laws and regulations.
We are an Equal Opportunity Employer, including disability/vets.
Recruitment Fraud Notice: Recruitment fraud is an increasingly common scam where individuals pose as employers to offer fictitious job opportunities. Scammers sometimes impersonate Inmar recruiters on LinkedIn and other channels. We will never ask for payment or sensitive personal information during the hiring process. Verify any role on our official Workday Careers site and learn how to spot scams in our full notice.
This position is not eligible for student visa sponsorship, including F-1 OPT or CPT. Candidates must have authorization to work in the U.S. without the need for employer sponsorship now or in the future.

Apply