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Data Processing Jobs in Tennessee (NOW HIRING)

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 ...

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 ...

Nissan Motor Co., Ltd.

Data Engineer

Franklin, TN · On-site

$113K - $135K/yr

Cost efficiency of data processing What You'll Look Forward to at Nissan: Career Growth and Continuous Learning Opportunities: Benefit from diverse career paths, cross-departmental moves, and ...

Nissan Motor Manufacturing UK

Data Engineer

Franklin, TN · Hybrid

$113K - $135K/yr

Cost efficiency of data processing What You'll Look Forward to at Nissan: Career Growth and Continuous Learning Opportunities: Benefit from diverse career paths, cross-departmental moves, and ...

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 ...

Pwc

Data Engineer - Senior Manager

Nashville, TN · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

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Data Processing information

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How much do data processing jobs pay per hour?

As of Jul 12, 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.

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.

Is AI replacing data entry jobs?

AI is automating many data entry tasks by using machine learning and optical character recognition, which can increase efficiency and reduce manual labor. However, data processing jobs still require human oversight for complex or unstructured data, and roles involving data validation, analysis, and management remain essential. Professionals in data processing should develop skills in AI tools and data management to stay relevant.

What is the highest paying job in data?

In data-related fields, roles such as Data Science Director, Chief Data Officer, or Senior Data Architect tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with extensive experience and relevant certifications.
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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $38,259 per year, or $18.4 per hour.

Data Analyst - Physical Infrastructure

xAI

Memphis, TN • On-site

Full-time

Re-posted 22 days ago

Job description

Job Summary:
xAI is a company focused on creating AI systems that enhance humanity's understanding of the universe. They are seeking a Data Analyst to join their Infrastructure team to analyze performance data and deliver insights that optimize their physical infrastructure for AI supercomputing.
Responsibilities:
• Collect, clean, integrate, and analyze high-volume power, cooling, and energy usage data from datacenter facilities and power plants
• Build and refine forecasting models for electricity, water, and other utility consumption to support budgeting, planning, and procurement
• Design, develop, and maintain interactive business intelligence dashboards and reports (using tools such as Seeq, Tableau, Power BI, Looker, or similar)
• Identify trends, anomalies, inefficiencies, and optimization opportunities in power distribution and cooling systems
• Partner with mechanical, electrical, and facilities engineering teams to translate analytical findings into engineering and operational improvements
• Support infrastructure expansion planning through scenario analysis, capacity modeling, and cost projections
• Automate data collection pipelines and reporting processes to enable real-time visibility and decision making
• Present clear, actionable insights and recommendations to cross-functional teams and leadership
Qualifications:
Required:
• 4+ years of professional experience in data analysis, business intelligence, or analytics engineering
• Strong SQL skills and proficiency in Python (pandas, scikit-learn, or similar) or R for data analysis and modeling
• Hands-on experience building dashboards and visualizations with Tableau, Power BI, Looker, or equivalent
• Solid foundation in statistics, time-series analysis, and forecasting techniques
• Experience working with large datasets and building scalable reporting solutions
• Excellent written and verbal communication skills
Preferred:
• Background in energy, utilities, datacenters, critical infrastructure, or industrial facilities
• Familiarity with SCADA systems, building management systems (BMS), or IoT sensor data
• Experience with cloud data platforms (Snowflake, BigQuery, AWS/GCP/Azure data services)
• Knowledge of power systems, HVAC/cooling efficiency metrics (PUE, WUE, etc.), or energy modeling
• Advanced degree in Data Science, Statistics, Engineering, Operations Research, or related quantitative field
Company:
xAI develops AI software and computational infrastructure designed for scientific discovery, automated reasoning, and data processing It is a sub-organization of SpaceX. Founded in 2023, the company is headquartered in Palo Alto, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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