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Insurance Data Processing Jobs in Tennessee (NOW HIRING)

Intellivo

Senior Data Engineer

Memphis, TN · On-site

$103K - $140K/yr

... insurance data. Responsibilities : • Design and build data ingestion pipelines from multiple ... processing and restrictions on data persistence or model training. • Implement multi-tenant data ...

NTT DATA, Inc.

AWS ETL Data Engineer - HYBRID

Memphis, TN · On-site

$97.72 - $162.88/hr

Build and support ETL/ELT processes across AWS platforms, including S3, Hive, Apache Iceberg, and ... This position is eligible for company benefits including medical, dental, and vision insurance with ...

Intellivo

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

... raw healthcare, legal, and insurance data into structured intelligence signals used for ... Establish alerting and escalation processes for pipeline failures and data anomalies. * Cross ...

Intellivo

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

... raw healthcare, legal, and insurance data into structured intelligence signals used for ... Establish alerting and escalation processes for pipeline failures and data anomalies. * Cross ...

Intellivo

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

... raw healthcare, legal, and insurance data into structured intelligence signals used for ... Establish alerting and escalation processes for pipeline failures and data anomalies. * Cross ...

UnitedHealth Group

Sr Data Analyst

Brentwood, TN · Remote

$91K - $163K/yr

... insurance domains * Support the adoption of advanced analytics and AI capabilities (including LLM-assisted workflows) to improve data processing, reporting efficiency, and decision-making with an ...

Greystone

Insurance Analyst - Post Closing

Memphis, TN · On-site

$19.50 - $26.50/hr

Preparation of insurance processing documentation, insurance payments, and maintaining insurance data. Primary Duties and Responsibilities: * Maintain evidence and invoice tracking in our servicing ...

Oracle Corporation

Principal Data Engineer

Nashville, TN

$110K - $132K/yr

... life insurance, and retirement options. We also encourage employees to give back to their ... We're committed to including people with disabilities at all stages of the employment process. If ...

Oracle

Principal Data Engineer

Nashville, TN

$110K - $132K/yr

... life insurance, and retirement options. We also encourage employees to give back to their ... We're committed to including people with disabilities at all stages of the employment process. If ...

Oracle

Principal Data Engineer

Nashville, TN

$110K - $132K/yr

... life insurance, and retirement options. We also encourage employees to give back to their ... We're committed to including people with disabilities at all stages of the employment process. If ...

Humana

Senior Data Engineer - NBA

Nashville, TN · On-site +1

$110K - $132K/yr

Experience building batch and streaming data processing pipelines. Strong understanding of data ... Background in healthcare, insurance, or another regulated industry with PHI/HIPAA handling ...

New

Humana

Senior Data Engineer - NBA

Nashville, TN · On-site +1

$110K - $132K/yr

Experience building batch and streaming data processing pipelines. Strong understanding of data ... Background in healthcare, insurance, or another regulated industry with PHI/HIPAA handling ...

Posted today

Capgemini

Lead Data Engineer - GCP

Nashville, TN · On-site

$130 - $170/hr

Hands‑on experience with distributed data processing frameworks: Apache Spark, Apache Beam ... Life and disability insurance * Employee assistance programs * Other benefits as provided by local ...

Posted today

American Bureau of Shipping

Data Engineer

Knoxville, TN · Remote

$120K - $155K/yr

Proficient in Python and SQL, with familiarity in Spark and distributed data processing ... These benefits include, but are not limited to, medical insurance (PPO and HD), dental and vision ...

Oracle

Principal Data Engineer

Nashville, TN

Leverages advanced knowledge of Extract, Transform, and Load (ETL) processes to design, develop ... Voluntary benefits including auto, homeowner and pet insurance The role will generally accept ...

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All JobsInsurance Data Processing JobsInsurance Data Processing Jobs in Tennessee

Insurance Data Processing information

What is insurance data processing?

Insurance Data Processing refers to the collection, entry, management, and analysis of data related to insurance policies, claims, customers, and transactions. Professionals in this field use specialized software and systems to ensure that insurance information is accurate, up-to-date, and secure. Their work supports the smooth operation of insurance companies by helping to process claims, issue policies, and generate reports for decision-making. Accuracy and attention to detail are crucial in this role due to the sensitive nature of insurance data.

What are the key skills and qualifications needed to thrive as an insurance data processing specialist?

To thrive as an Insurance Data Processing Specialist, you need strong attention to detail, proficiency in data entry, and a solid understanding of insurance terminology, typically supported by a high school diploma or relevant associate degree. Familiarity with insurance management software, claims processing systems, and database tools such as Microsoft Excel is commonly required. Excellent organizational skills, problem-solving abilities, and effective communication help you excel in managing large volumes of sensitive information. These skills ensure accuracy, minimize errors, and support efficient operations within insurance organizations.

What are some common challenges faced in an insurance data processing role and how can they be addressed?

One of the main challenges in Insurance Data Processing is managing large volumes of sensitive data accurately and efficiently, especially when dealing with tight deadlines and evolving regulatory requirements. Errors in data entry or processing can impact claims or policy management, making attention to detail and strong organizational skills essential. To address these challenges, many teams rely on robust data management software, regular training, and collaborative workflows to ensure accuracy and compliance. Proactively seeking feedback and staying updated on industry best practices can also help professionals excel in this role.

What is the difference between Insurance Data Processing vs Insurance Claims Processing?

AspectInsurance Data ProcessingInsurance Claims Processing
Required CredentialsTypically high school diploma or equivalent; some roles may require certifications in data managementHigh school diploma or equivalent; often requires knowledge of claims procedures and insurance policies
Work EnvironmentOffice setting, working with databases and data entry systemsOffice environment, interacting with claim documents and insurance systems
Employer & Industry UsageInsurance companies, third-party administrators, data service providersInsurance companies, claims adjusters, third-party claims processors

Insurance Data Processing involves managing and organizing insurance-related data, focusing on data accuracy and database management. Insurance Claims Processing centers on evaluating and processing insurance claims submitted by policyholders, ensuring proper documentation and compliance. While both roles support insurance operations, Data Processing emphasizes data management, whereas Claims Processing focuses on claim evaluation and settlement.

What are popular job titles related to Insurance Data Processing jobs in Tennessee?

For Insurance Data Processing jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Insurance Data Processing jobs in Tennessee look for?

The top searched job categories for Insurance Data Processing jobs in Tennessee are:

What cities in Tennessee are hiring for Insurance Data Processing jobs?

Cities in Tennessee with the most Insurance Data Processing job openings:

Insurance Data Processing jobs near you

Senior Data Engineer

Intellivo

Memphis, TN • On-site

$103K - $140K/yr

Full-time

Re-posted 6 days ago

Job description

Job Summary:
Intellivo is a company focused on transforming raw data into structured intelligence signals. They are seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and platform infrastructure within a medallion architecture, while ensuring compliance and data governance across healthcare, legal, and insurance data.
Responsibilities:
• Design and build data ingestion pipelines from multiple structured and unstructured sources including healthcare claims, P&C insurance data, and legal filings into the Bronze layer of the medallion architecture.
• Optimize ingestion workflows for reliability, throughput, and compliance across regulated production environments.
• Implement error handling, retry logic, and dead-letter patterns to ensure pipeline resilience.
• Develop Silver layer transformation logic including normalization, deduplication, entity resolution, and schema enforcement within Microsoft Fabric and OneLake.
• Build Gold layer aggregations and enriched datasets that support ML scoring models and embedded analytics reporting.
• Maintain Feature Store pipelines that produce machine learning-ready feature sets for model training and inference.
• Enforce data contractual constraints from third-party data providers, including requirements for stateless processing and restrictions on data persistence or model training.
• Implement multi-tenant data isolation patterns including partitioning, access controls, and governed data handling across a large number of client contracts.
• Document data lineage, transformations, and data contracts to support governance, audit readiness, and operational clarity.
• Build and maintain data quality validation scripts to detect schema drift, completeness gaps, and business-rule violations across pipeline stages.
• Implement monitoring on pipeline health, data freshness, and operational exceptions to maintain high-confidence production data.
• Establish alerting and escalation processes for pipeline failures and data anomalies.
• Partner with ML Engineering and Data Science to deliver features that support model retraining, scoring pipelines, and identification engine capabilities.
• Collaborate with Software Engineering, Analytics, and business stakeholders to translate operational needs into reliable, production-ready data solutions.
• Contribute to architectural decisions and technical documentation that support the broader data platform strategy.
Qualifications:
Required:
• B.S. or B.A. in Computer Science, Information Systems, Mathematics, or a related field.
• 7+ years of professional data engineering experience, preferably within Azure-based or Microsoft Fabric environments.
• Hands-on experience designing enterprise data pipelines, ETL/ELT workflows, and medallion or lakehouse architecture patterns.
• Strong programming skills in Python, with advanced SQL experience and data quality validation logic.
• Experience with Microsoft Fabric, OneLake, Azure Data Factory, or equivalent cloud data orchestration tools.
• Working knowledge of CI/CD practices for data pipelines and infrastructure-as-code concepts.
• Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar) to accelerate pipeline development, code generation, and debugging workflows.
Preferred:
• Familiarity with healthcare data formats (claims, eligibility, EDI 837/835) and HIPAA compliance requirements.
• Experience with multi-tenant data architectures and governed data handling in regulated environments.
• Exposure to ML feature engineering, Feature Store design, or data pipelines supporting model training workflows.
• Experience with dbt, PySpark, or similar transformation frameworks.
Company:
Recovery Intelligence for health plans. Intellivo detects more reimbursement opportunities with no member abrasion. Founded in 1999, the company is headquartered in Memphis, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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