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Remote Data Processing Jobs in Tennessee (NOW HIRING)

Humana

Senior Cybersecurity Engineer

Nashville, TN · Remote

$110K - $151K/yr

Designed, tested, and optimized Python scripts for data processing and workflow automation within ... Additional Information Remote/WAH requirements: * WAH requirements: Must have the ability to ...

Humana

Senior Cybersecurity Engineer

Nashville, TN · Remote

$110K - $151K/yr

Designed, tested, and optimized Python scripts for data processing and workflow automation within ... Additional Information Remote/WAH requirements: * WAH requirements: Must have the ability to ...

Humana

Senior Cybersecurity Engineer

Nashville, TN · Remote

$110K - $151K/yr

Designed, tested, and optimized Python scripts for data processing and workflow automation within ... Additional Information Remote/WAH requirements: * WAH requirements: Must have the ability to ...

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All JobsRemote Data Processing JobsRemote Data Processing Jobs in Tennessee

Remote Data Processing information

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 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 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 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
Infographic showing various Remote Data Processing job openings in Tennessee as of June 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.
Senior Data Scientist / AI Engineer (3878)

Senior Data Scientist / AI Engineer (3878)

Navarro Inc.

Oak Ridge, TN • Remote

Full-time

Posted 16 days ago

Job description

Navarro Research and Engineering is recruiting a Senior Data Scientist / AI Engineer (3878). This is a remote position. Citizenship is required.

Navarro Research & Engineering is an award-winning federal contractor dedicated to partnering with clients to advance clean energy and deliver effective solutions for complex challenges in the nuclear and environmental fields. Joining Navarro means being a part of an exceptional team committed to quality and safety while also looking for innovative strategies to create value for the client's success. Headquartered in Oak Ridge, Tennessee, Navarro has active programs in place across the nation for DOE/NNSA, NASA, and the Department of Defense.

We are seeking a Senior Data Scientist / AI Engineer to design, develop, deploy, and maintain machine learning and generative AI solutions within a government environment. This role will support both locally hosted AI systems and cloud-based AI services within Microsoft Azure Government, including Azure AI Foundry and related Azure AI services.

The ideal candidate has hands-on experience building production AI systems, deploying and operating open-source large language models (LLMs), implementing secure MLOps practices, and developing AI applications that meet government security and compliance requirements.

Key Responsibilities

AI/ML Solution Development

  • Design, build, train, evaluate, and deploy machine learning and generative AI solutions.
  • Develop and maintain predictive analytics, NLP, computer vision, and LLM-based applications.
  • Implement Retrieval-Augmented Generation (RAG), agentic workflows, and knowledge management solutions.
  • Evaluate commercial, open-source, and custom AI models for mission-specific use cases.

Local and On-Premises AI Infrastructure

  • Deploy and operate local/open-source models in secure environments.
  • Configure and optimize inference environments using GPUs and containerized deployments.
  • Manage model serving platforms and inference frameworks.
  • Implement monitoring, performance tuning, and lifecycle management for locally hosted models.
  • Support disconnected, restricted, or air-gapped operational environments.

Azure Government AI Platforms

  • Design and deploy AI solutions within Azure Government.
  • Build and manage solutions using Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Azure Kubernetes Service (AKS), and related services.
  • Implement secure model deployment, monitoring, and governance controls.
  • Integrate AI services with enterprise systems and data platforms.

Data Engineering and Analytics

  • Develop data pipelines supporting AI and analytics workloads.
  • Perform data exploration, feature engineering, model evaluation, and performance analysis.
  • Work with structured, semi-structured, and unstructured data sources.
  • Ensure data quality, lineage, and governance standards are maintained.

MLOps and DevSecOps

  • Implement CI/CD pipelines for machine learning and AI workloads.
  • Develop automated testing, validation, and deployment processes.
  • Establish model monitoring, drift detection, and performance reporting.
  • Apply security controls and compliance requirements throughout the AI lifecycle.

Stakeholder Support

  • Collaborate with mission owners, analysts, engineers, cybersecurity personnel, and leadership.
  • Translate operational requirements into technical AI solutions.
  • Prepare technical documentation, architecture diagrams, and presentations.

Apply