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Remote Data Processing Jobs in Tennessee (NOW HIRING)

OneOncology

Lead Data Engineer

Nashville, TN · Remote

$99K - $130.40K/yr

... processes that support the meaningful work of community oncologists and the patients they serve ... remote. Our team members are all individually motivated, yet collaborative. We maintain a high ...

Lineage Logistics Holding, LLC

This is a REMOTE opportunity. We are not sponsoring work authorization for this role. Duties and ... Real-time and batch data processing patterns * Proven ability to coordinate delivery across ...

BIS

Database Engineer

Piney Flats, TN · On-site +1

... grows and its data processing needs change. We strive to provide our customers with software ... We do not offer full-time remote positions, candidates must be able to commute to the office or be ...

Federal Express Corporation

GCP Architect

Memphis, TN · On-site +1

$18.15K/mo

... time processing using Dataflow, Confluent Kafka, Pub/Sub, and Cloud Composer. * Advanced Data ... Domicile Information This position is eligible for remote work and may be located anywhere within ...

Pilot Flying J

Counsel, Technology

Knoxville, TN · On-site +1

This position in onsite in Knoxville, TN (Not Hybrid or Remote) In this role you will * Advise on ... SOWs), and data processing agreements (DPAs). * Provide legal guidance on cybersecurity, data ...

Pilot Company

Counsel, Technology

Knoxville, TN · On-site +1

This position in onsite in Knoxville, TN (Not Hybrid or Remote) In this role you will * Advise on ... SOWs), and data processing agreements (DPAs). * Provide legal guidance on cybersecurity, data ...

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Remote Data Processing information

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$11

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How much do remote data processing jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote 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 as a Remote Data Processing specialist, and why are they important?

To thrive as a Remote Data Processing specialist, you need strong analytical skills, attention to detail, and proficiency in data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with databases, spreadsheet software like Microsoft Excel or Google Sheets, and sometimes data processing tools such as SQL or Python is typically required. Excellent time management, self-motivation, and clear communication are essential soft skills for remote collaboration and meeting deadlines. These abilities ensure data accuracy, efficient processing, and effective teamwork in a remote work environment.

What are some common challenges faced by professionals in remote data processing roles, and how can they be overcome?

Remote data processing professionals often encounter challenges such as ensuring data accuracy, managing large datasets, and maintaining clear communication with distributed teams. To overcome these, it's important to establish strong data validation protocols, use reliable tools for data management, and schedule regular virtual meetings to stay aligned with team objectives. Additionally, setting clear expectations and using collaborative platforms can help mitigate misunderstandings and improve workflow efficiency.

What is remote data processing?

Remote data processing refers to the collection, analysis, and management of data from a location outside of a traditional office setting, often using cloud-based tools and remote access technologies. Professionals in this role handle data entry, validation, organization, and sometimes basic analytics, ensuring data integrity and accessibility for organizations. This job typically requires strong computer skills, attention to detail, and the ability to work independently while maintaining data security and privacy protocols.

What is the difference between Remote Data Processing vs Remote Data Analysis?

AspectRemote Data ProcessingRemote Data Analysis
Primary RoleHandling data input, cleaning, and preparationInterpreting data to generate insights and reports
Skills & CertificationsData management, SQL, basic scriptingStatistical analysis, data visualization, tools like Excel, R, Python
Work EnvironmentData warehouses, cloud platforms, databasesAnalysis tools, dashboards, reporting software
Industry UsageData management teams, IT departmentsBusiness intelligence, marketing, finance

Remote Data Processing focuses on preparing and managing raw data, while Remote Data Analysis involves interpreting that data to inform decisions. Both roles often require similar technical skills but differ in their core responsibilities and end goals.

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 Remote Data Processing jobs in Tennessee? For Remote Data Processing jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Data Processing jobs in Tennessee look for? The top searched job categories for Remote Data Processing jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Data Processing jobs? Cities in Tennessee with the most Remote Data Processing job openings:
Remote Data Processing jobs near you
Data Engineer (Cloud Lakehouse / ETL)

Data Engineer (Cloud Lakehouse / ETL)

NexTech Solutions

Memphis, TN • On-site, Remote

$102.20K - $122.70K/yr

Other

Posted 9 days ago

Job description

Data Engineer (Cloud Lakehouse / ETL)

Location: Remote or Memphis, TN (Hybrid)

Overview

We are seeking a hands-on Data Engineer to support enterprise data transformation, data movement, and operational data processing initiatives within a modern cloud-based data platform environment.

This role focuses on building, enhancing, and supporting large-scale ETL and data integration processes while ensuring enterprise data remains accurate, highly available, and optimized for performance. The ideal candidate will have strong experience with SQL, ETL/data pipelines, cloud technologies, and production troubleshooting within enterprise environments.

This position supports critical overnight data processing operations and requires flexibility to work an afternoon/evening schedule with occasional extended support hours as needed.

Key Responsibilities

Support and enhance enterprise ETL and nightly data load processes Develop, maintain, and optimize scalable data pipelines and integration workflows Ensure enterprise data quality, reliability, availability, and performance Contribute to the optimization and operational support of a cloud-based data platform environment Troubleshoot and resolve production data processing and pipeline issues Work across internal and external systems to extract, transform, and load enterprise data Collaborate with business analysts, technical teams, and stakeholders to support data initiatives and enhancements Participate in Agile/Scrum ceremonies and collaborate within cross-functional engineering teams Contribute to automated testing and continuous improvement initiatives Analyze existing systems and recommend improvements related to scalability, maintainability, and performance Design, develop, test, debug, document, and support data integration and application solutions

Required Qualifications

Bachelors degree in Computer Science, Information Systems, Engineering, Mathematics, or related technical field 3+ years of experience in Data Engineering, ETL Development, or related software engineering roles Strong SQL development and query optimization experience Hands-on experience with ETL/data integration solutions Experience supporting enterprise-scale data processing environments Experience troubleshooting production data pipeline and load issues Experience working in Agile/Scrum or similar collaborative development environments Strong analytical, debugging, and problem-solving skills Ability to work independently in a fast-paced operational environment

Preferred Qualifications

Experience with cloud-based data platforms or Lakehouse architectures Experience with technologies such as AWS, Redshift, S3, Lambda, DBT, or related cloud data tools Enterprise data warehouse experience Experience with SSIS or SSDT Experience with data pipeline optimization and performance tuning Exposure to CI/CD practices and automated testing Experience supporting operational or overnight data processing environments

How to Apply

Qualified candidates are encouraged to submit an updated resume for confidential consideration. We welcome candidates with strong hands-on Data Engineering, ETL, SQL, and cloud data platform experience who are interested in supporting large-scale enterprise data operations.

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