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Data Processing Jobs in Tennessee (NOW HIRING)

Surgery Partners

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Architect and implement scalable data processing pipelines using: * Databricks Runtime (Apache Spark, Spark SQL, MLflow, Delta Lake) * Delta Lake ACID transactions, Z-Ordering, OPTIMIZE, and Change ...

Deloitte

Databricks Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

... data processing workflows • Experience working with at least one cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) • Ability to travel 50%, on average ...

Pwc

Data Engineer - Senior Associate

Nashville, TN

$77K - $202K/yr

Responsibilities - Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis - Developing and maintaining data pipelines, integration, and ...

PNC Bank

$65K - $186K/yr

Directs the data gathering, data processing and data mining of large and complex datasets. * Leads the development of algorithms using advanced mathematical and statistical techniques like machine ...

PNC Bank

$80K - $209K/yr

Directs the data gathering, data processing and data mining of large and complex datasets. Provides deep technical expertise to advance the data science capabilities of analytics teams. * Serves as a ...

PALNAR

AI/ML Architect

Nashville, TN

$61.50 - $79.25/hr

Proficiency in data processing, feature engineering, and model deployment. * Excellent communication skills and the ability to collaborate effectively with cross-functional teams. * Demonstrated ...

Kforce Technology Staffing

Data Engineer

Nashville, TN

$110K - $132K/yr

Hands-on Python for data processing and automation * Familiarity with CI/CD patterns (GitHub Actions preferred) * Experience with AWS (S3, Glue) * Exposure to Airflow DAG development * Experience in ...

Palnar

AI/ML Architect

Nashville, TN · On-site

$61.50 - $79.25/hr

Proficiency in data processing, feature engineering, and model deployment. * Excellent communication skills and the ability to collaborate effectively with cross-functional teams. * Demonstrated ...

U.S. Xpress, Inc.

Engineer, Data II

Chattanooga, TN · On-site

$82K - $103K/yr

Experience with data modeling, ETL processes, and data warehousing * Experience with a programming language (Python, Java, C#) • Transportation, Logistics, and/or Tech industry experience a plus ...

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How much do data processing jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for data processing in Tennessee is $18.39, according to ZipRecruiter salary data. Most workers in this role earn between $14.62 and $20.29 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Processing position, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the typical daily responsibilities of someone working in Data Processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

Is a data processor a good job?

A data processing job involves organizing, inputting, and managing data using tools like spreadsheets and database software. It can offer steady employment and requires attention to detail, but may have repetitive tasks and limited advancement opportunities depending on the organization. Overall, it can be a suitable entry-level role for those interested in data management.

What is a Data Processing job?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

How can I make 2000 a week working from home?

Data processing jobs can pay varying rates depending on experience, complexity, and workload, with some freelancers earning $2000 or more weekly by taking on multiple projects or clients. To reach this income level, strong skills in data entry, analysis, or software tools are essential, along with efficient time management and possibly certification. Building a reliable client base and working consistently are key factors in achieving higher weekly earnings from home.

How much does data processing make?

Data processing jobs typically pay between $35,000 and $70,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with skills in data management and software tools can earn higher salaries.
What are the most commonly searched types of Data Processing jobs in Tennessee? The most popular types of Data Processing jobs in Tennessee are:
What are popular job titles related to Data Processing jobs in Tennessee? For Data Processing jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Data Processing jobs in Tennessee look for? The top searched job categories for Data Processing jobs in Tennessee are:
What cities in Tennessee are hiring for Data Processing jobs? Cities in Tennessee with the most Data Processing job openings:
Data Processing jobs near you
Infographic showing various Data Processing job openings in Tennessee as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 5% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $38,259 per year, or $18.4 per hour.
Data Engineer - Hybrid / Remote

Data Engineer - Hybrid / Remote

Surgery Partners

Brentwood, TN • On-site, Remote

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Surgery Partners rating

7.6

Company rating: 7.6 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

189th of 872 rated healthcare providers

Job description

Data Engineer - Hybrid / Remote Opportunity
  • Hybrid for candidates in Nashville and surrounding areas.
  • Remote option available for candidates outside of surrounding areas.

This role requires a highly technical Data Engineer with expert-level proficiency in Azure Databricks, distributed data pipelines, and large-scale healthcare data processing. This role focuses on designing and implementing high-throughput ingestion pipelines, transactional lakehouse layers, and secure PHI data flows using Azure-native services and Databricks runtime optimizations.
You will build and operate production-grade data pipelines that meet rigorous requirements for security, lineage, compliance (HIPAA), observability, and operational SLAs, supporting analytics, AI, and clinical insights across the organization.
Core Responsibilities
Platform & Architecture
  • Architect and implement scalable data processing pipelines using:

    • Databricks Runtime (Apache Spark, Spark SQL, MLflow, Delta Lake)
    • Delta Lake ACID transactions, Z-Ordering, OPTIMIZE, and Change Data Feed (CDF)
    • Unity Catalog for governance, lineage, RBAC, and audit controls

  • Design and enforce a medallion (Bronze/Silver/Gold) architecture with schema evolution, Delta Live Tables (DLT), and robust error-handling patterns
  • Build high-performance ingestion frameworks for:

    • FHIR and HL7 message streams
    • X12 837/835 healthcare claims data
    • EHR/EMR source systems
    • Batch, real-time, and event-driven data sources

Azure Cloud Engineering
  • Develop and operate data pipelines leveraging:

    • Azure Data Lake Storage Gen2 (hierarchical namespace, ACLs, POSIX permissions)
    • Azure Data Factory or Synapse Pipelines (parameterization, dynamic pipelines, triggers)
    • Azure Event Hubs and/or Service Bus for streaming ingestion
    • Azure SQL Database and Azure Synapse (Dedicated and Serverless pools)
    • Azure Functions for lightweight orchestration and automation
    • Azure Monitor, Log Analytics, and Application Insights for observability

  • Implement enterprise-grade security including:

    • VNet integration and private endpoints
    • Secrets and key management using Azure Key Vault
    • Managed identities and least-privilege access controls

Distributed Data Engineering
  • Develop optimized PySpark and/or Scala pipelines using advanced Spark techniques:

    • Catalyst optimizer tuning
    • Cluster sizing and autoscaling strategies
    • Adaptive Query Execution (AQE)
    • Efficient join strategies (broadcast vs. shuffle)

  • Build and maintain:

    • High-volume batch ETL pipelines (100M+ records)
    • Low-latency streaming pipelines using Spark Structured Streaming

  • Implement CI/CD for Databricks environments, including:

    • Git-integrated DEV/QA/PROD workspaces
    • Automated job and workflow deployments
    • Unit testing using pytest and Databricks testing frameworks

Healthcare Data & Compliance
  • Design and implement secure PHI pipelines compliant with:

    • HIPAA Privacy and Security Rules
    • SOC 2 and HITRUST-aligned controls

  • Build pipelines supporting healthcare data standards including:

    • FHIR R4 resources (Patient, Encounter, Observation, Claim, etc.)
    • HL7 v2.x messages (ADT, ORU, ORM)
    • X12 EDI transactions (837, 835, 270/271)

  • Ensure end-to-end lineage tracking, auditability, and data retention across all lakehouse layers

Required Qualifications
  • 5+ years of experience in modern data engineering roles
  • Expert-level proficiency in:

    • PySpark and Spark SQL
    • Databricks (Jobs, Workflows, Repos, Delta Live Tables)
    • Delta Lake architecture and transactional design patterns
    • Azure Data Factory or Azure Synapse Pipelines
    • Cloud-native data security (RBAC, ABAC, privilege boundary enforcement)

  • Strong experience working with healthcare data formats and standards:

    • FHIR (JSON)
    • HL7 v2/v3
    • X12 EDI claims data

  • Deep understanding of distributed systems, data partitioning strategies, concurrency, and cluster resource tuning

Preferred Qualifications
  • Experience implementing Unity Catalog at enterprise scale
  • Familiarity with MLOps workflows and Databricks MLflow
  • Experience using dbt with Databricks SQL
  • Relevant certifications, including:
  • Databricks Data Engineer Professional
  • Microsoft Azure DP-203
  • HL7 or FHIR certification (nice to have)

Benefits:
  • Comprehensive health, dental, and vision insurance
  • Health Savings Account with an employer contribution
  • Life Insurance
  • PTO
  • 401(k) retirement plan with a company match
  • And more!

ENVIRONMENTAL/WORKING CONDITIONS: Normal busy office environment with much telephone work. Possible long hours as needed. The description is intended to provide only basic guidelines for meeting job requirements. Responsibilities, knowledge, skills, abilities and working conditions may change as needs evolve.
*If you are viewing this role on a job board such as Indeed.com or LinkedIn, please know that pay bands are auto assigned and may not reflect the true pay band within the organization.
*No Recruiters Please
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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