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Insurance Data Engineer Jobs in Tennessee (NOW HIRING)

Who you are As a Senior Data Engineer at Metropolis, you will play a key role in shaping data ... basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite ...

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 ...

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 ...

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 ...

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 ...

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 ...

Senior Data Analyst

Nashville, TN · On-site

$103K - $139K/yr

Collaborate with engineering teams to define service level agreements (SLAs) for data products ... basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-CM1 #LI-Onsite ...

Collaborate with engineering teams to define service level agreements (SLAs) for data products ... basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-CM1 #LI-Onsite ...

Collaborate with engineering teams to define service level agreements (SLAs) for data products ... insurance, a lucrative stock option plan, bonus plans, and more. #LI-CM1 #LI-Onsite

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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Showing results 1-20

Insurance Data Engineer information

What health insurance covers Wegovy?

As an Insurance Data Engineer, understanding insurance coverage is essential. Coverage for Wegovy, a prescription weight management medication, varies by insurance plan and provider. Many health insurance plans, including some employer-sponsored plans and Medicare, may cover Wegovy if prescribed for approved indications, but prior authorization is often required.

What is the best cheapest insurance?

As an Insurance Data Engineer, evaluating the cheapest insurance involves analyzing data from multiple providers to identify affordable options that meet coverage needs. Comparing quotes, understanding policy details, and using data analysis tools can help find cost-effective insurance plans. However, the cheapest option may not always offer the best coverage, so balancing cost and coverage is essential.

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.

Does health insurance cover a pacemaker?

As an Insurance Data Engineer, you should know that health insurance typically covers pacemaker implantation and related procedures if deemed medically necessary, though coverage details vary by plan. Patients usually need prior authorization, and coverage may include device costs, surgery, and follow-up care. It is important to review specific policy terms and provider networks for accurate coverage information.

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.

Who does the cheapest insurance?

Insurance Data Engineers analyze data to help insurance companies identify cost-effective policies and pricing strategies. The cheapest insurance options typically depend on factors like coverage needs, customer profile, and provider discounts, rather than a specific role. Consumers should compare quotes from multiple providers to find the most affordable coverage.

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 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:
Infographic showing various Insurance Data Engineer job openings in Tennessee as of June 2026, with employment types broken down into 61% Full Time, 35% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Senior Data Engineer

Senior Data Engineer

Metropolis

Nashville, TN

$160K - $220K/yr

Full-time

Medical, Life, Retirement

Posted 6 days ago


Job description

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do
  • Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
  • Design and own data architecture for large-scale projects while managing operational trade-offs
  • Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
  • Define and manage Service Level Agreements (SLAs) for all owned data sets
  • Implement data security models, ensure privacy compliance, and evolve data governance processes
  • Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
  • Maintain production processes by optimizing complex code using advanced algorithmic concepts
  • Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
  • Mentor team members through actionable feedback to foster collective skill growth
  • Maintain flexibility with availability during evening hours
What we're looking for
  • Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
  • master's degree is preferred
  • 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
  • 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
  • Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
  • Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
  • Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
  • Ability to deliver high standards of code quality, system reliability, and performance
  • Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
  • Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS
While not required, these are a plus:
  • Experience with Spark and PySpark
  • Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.