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Insurance Data Engineer Jobs in Tennessee (NOW HIRING)

U.S. Xpress, Inc.

Engineer, Data II

Chattanooga, TN · On-site

$82K - $103K/yr

Pet Insurance Primary Position Purpose: The Data Engineer II works with new and legacy systems to lead the way for high-quality decisions. The Engineer II contributes to the design and implementation ...

Revecore

Senior Data Engineer-JT0224

Franklin, TN · Remote

$102K - $138K/yr

Our medical, dental, vision, and life insurance benefits are available from the first day of ... The Senior Data Engineer will join the Technology function, solving complex data problems for the ...

Starbucks

data engineer sr- ST; Nashville, TN

Nashville, TN · On-site

$53.75 - $71.25/hr

Now Brewing - Data Engineers sr #tobeapartner From the beginning, Starbucks set out to be a ... insurance benefits. Partners have access to short-term and long-term disability, paid parental ...

Starbucks

data engineer sr- ST; Nashville, TN

Nashville, TN · On-site

$53.75 - $71.25/hr

Now Brewing - Data Engineers sr #tobeapartner From the beginning, Starbucks set out to be a ... insurance benefits. Partners have access to short-term and long-term disability, paid parental ...

Raymondjames

Lead Cloud Data Engineer

Memphis, TN · Hybrid

$99K - $131K/yr

Summary We are seeking a highly skilled Lead Cloud Data Engineer to join our team. The ideal ... insurance; critical illness insurance and accident insurance; disability benefits; retirement ...

Revecore

Data Operations Analyst

Franklin, TN · Remote

Our medical, dental, vision, and life insurance benefits are available from the first day of ... Collaborate with Data Engineering to support data ingestion, file processing, and pipeline ...

FOCUSPOINT

Data Analyst

Nashville, TN · On-site

$40 - $57/hr

You'll work directly with stakeholders, engineers, operators, and senior leaders to uncover trends ... Vision insurance

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Insurance Data Engineer information

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 Tennessee? For Insurance Data Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Tennessee look for? The top searched job categories for Insurance Data Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Insurance Data Engineer jobs? Cities in Tennessee with the most Insurance Data Engineer job openings:
Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Tennessee as of July 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, 14% Hybrid, and 6% Remote job distribution.
Sr Engineer, Data Prsnliztn

Sr Engineer, Data Prsnliztn

Tractor Supply Company

Brentwood, TN • On-site

$108K - $130K/yr

Other

Medical, Dental, Vision, Life

Re-posted 20 days ago

Tractor Supply rating

5.7

Company rating: 5.7 out of 10

Based on 1,293 frontline employees who took The Breakroom Quiz

459th of 724 rated retailers

Job description

Overall Job Summary

The Senior Data Engineer for Data Personalization and Analytics is pivotal in executing our customer data personalization strategy using advanced analytics and engineering techniques. Specializing in SQL, Python, Adobe suite, Alteryx, and Azure, this role is at the heart of our data engineering efforts to model insights and support targeted campaigns. The Senior Data Engineer will also take a leading role in managing our digital analytics across various channels, ensuring data-driven decisions that enhance customer satisfaction and business growth.

Essential Duties and Responsibilities (Min 5%)
  • Develop and maintain scalable data/deployment pipelines, integrating various data sources using SQL, Python, and Alteryx, ensuring high data quality and accessibility.
  • Work closely with analytics and business teams to assist with data-related technical issues and support data infrastructure needs.
  • Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
  • Manage the deployment of analytics solutions on the Adobe platform.
  • Collaborate with cross-functional teams to align data personalization efforts, reporting measurable outcomes from digital and social campaigns.
  • Contribute to the management of the budget and resources dedicated to data personalization projects.
  • Foster an environment of continuous learning and development within the data analytics and personalization team.
     
Required Qualifications

Experience: 5+ years of experience in a data engineering role, with a strong background in SQL, Python, and data pipeline development.

Education:  Bachelor's degree in Computer Science, Engineering, or related field.

High Demand IT Specialized skills:  

  • Expertise in Python programming , SQL,  Alteryx and Tableau.
  • Experience with personalization suits like Adobe Campaign, Adobe Target, AEM.
  • Experience with cloud-based analytical tools (MS Azure, Snowflake, or similar).
     
Preferred knowledge, skills or abilities
  • Direct experience with large-volume customer data sets.
  • Experience connecting multiple disparate data sources in the course of analysis.
  • Strong analytical and problem-solving skills, with the ability to translate business objectives into analytical projects and solutions.
     
Working Conditions
  • Normal office working conditions
Physical Requirements
  • Sitting
  • Standing (not walking)
  • Walking
  • Kneeling/Stooping/Bending
  • Reaching overhead
  • Lifting up to 20 pounds
Disclaimer

This job description represents an overview of the responsibilities for the above referenced position.  It is not intended to represent a comprehensive list of responsibilities.  A team member should perform all duties as assigned by his/ her supervisor.

Company Info

At Tractor Supply and Petsense by Tractor Supply, our Team Members are the heart of our success. Their dedication, passion, and hard work drive everything we do, and we are committed to supporting them with a comprehensive and accessible total reward package. We understand the evolving needs of our Team Members and their families, and we strive to offer meaningful, competitive, and sustainable benefits that support their well-being today and in the future.
Our benefits extend beyond medical, dental, and vision coverage, including company-paid life and disability insurance, paid parental leave, tuition reimbursement, and family planning resources such as adoption and surrogacy assistance, for all full-time Team Members and all part-time Team Members. Part time new hires gain eligibility for TSC Benefits by averaging at least 15 hours per week during their 90-day lookback period. The lookback period starts the first of the month following the date of hire. If the 15-hour requirement was met, the benefits eligibility date will be the first day of the month following 4 months of continuous service.
Please visit this link for more specific information about the benefits and leave policies applicable to the position you're applying for.
 

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