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Remote Data Platform Engineer Jobs in Tennessee (NOW HIRING)

3B Staffing LLC

AI Platform Engineer

Memphis, TN · On-site +1

Memphis, TN (If Local Candidates (Memphis / Nashville Need onsite visit))or REMOTE Duration: 18 ... Building and optimizing backend AI infrastructure, cloud services, and data pipelines, OR

3B Staffing LLC

AI Platform Engineer II

Memphis, TN · On-site +1

AI Platform Engineer II Terms: 6+ month contract will continue to extend Interviews: Virtual ... Participate in the integration of AI solutions with enterprise systems and data sources.

Revecore

Senior Data Engineer

Franklin, TN · Remote

$102K - $138K/yr

Remote-USA Revecore is embarking on re-architecting and modernizing its core platform. The Data ... The Senior Data Engineer will join the Technology function, solving complex data problems for the ...

Surgery Partners

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Data Engineer - Hybrid / Remote Opportunity * Hybrid for candidates in Nashville and surrounding ... Core Responsibilities Platform & Architecture * Architect and implement scalable data processing ...

Surgery Partners

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Data Engineer - Hybrid / Remote Opportunity * Hybrid for candidates in Nashville and surrounding ... Core Responsibilities Platform & Architecture * Architect and implement scalable data processing ...

Beacon Talent

Software Engineer

La Vergne, TN · Remote

Software Engineer, Data Privacy & De-Identification About the Company - Series A A rapidly growing healthcare AI infrastructure company is building a large-scale platform that enables the responsible ...

Medisolv, Inc

$99K - $119K/yr

... Data Engineer/Analyst to join our growing team ... We empower over 1,800 hospitals and 15,000 providers with our all-in-one ENCOR platform, helping ...

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All JobsData Platform Engineer JobsRemote Data Platform Engineer JobsRemote Data Platform Engineer Jobs in Tennessee

Remote Data Platform Engineer information

See Tennessee salary details

$40.4K

$117.7K

$161.1K

How much do remote data platform engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote data platform engineer in Tennessee is $117,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $124,800.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Platform Engineer vs Data Engineer?

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

What are the key skills and qualifications needed to thrive as a Remote Data Platform Engineer, and why are they important?

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a Remote Data Platform Engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

What is a Remote Data Platform Engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.
What are the most commonly searched types of Data Platform Engineer jobs in Tennessee? The most popular types of Data Platform Engineer jobs in Tennessee are:
What are popular job titles related to Remote Data Platform Engineer jobs in Tennessee? For Remote Data Platform Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Data Platform Engineer jobs in Tennessee look for? The top searched job categories for Remote Data Platform Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Data Platform Engineer jobs? Cities in Tennessee with the most Remote Data Platform Engineer job openings:
Remote Data Platform Engineer jobs near you
AI Platform Engineer

AI Platform Engineer

3B Staffing LLC

Memphis, TN • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: AI Platform Engineer II Preferred domain Fundraising
Location: Memphis, TN (If Local Candidates (Memphis / Nashville Need onsite visit))or REMOTE
Duration: 18 Months + Extensions (Long-term contract w/ no end date. Could possibly go perm if candidate desires)
Job Description:
The AI Platform Engineer II supports the design, development, and delivery of AI solutions, focusing on either AI infrastructure (LLM platform, backend systems, cloud engineering) or AI application development (end-user experiences, integrations). This role works independently on moderate features and short projects, collaborates with cross-functional teams, and contributes to secure, scalable, and impactful AI solutions. Candidates are expected to demonstrate strong skills in one area, with opportunities to broaden their expertise through collaboration and learning. This role requires independent ownership of end-to-end feature delivery and mentoring of Engineer I-level peers.
Essential Job Functions
Platform & Application Development

  • Contribute to the development and maintenance of LLM gateways, retrieval-augmented generation platforms, or AI-powered applications.
  • Depending on specialization, focus on either:
    • Building and optimizing backend AI infrastructure, cloud services, and data pipelines, OR
    • Designing and implementing AI-powered user experiences, integrations, and APIs.
  • Participate in the integration of AI solutions with enterprise systems and data sources.
  • Independently develops APIs and automation scripts for data integration and platform scalability.
Security, Governance, and Observability
  • Support the implementation of security, compliance, and governance controls for AI systems.
  • Assist with logging, monitoring, and reporting for auditability and usage insights.
Engineering & DevOps
  • Develop and deploy AI applications using CI/CD pipelines and containerized environments (Docker, Kubernetes).
  • Apply DevOps practices such as dependency management, vulnerability scanning, and role-based access as appropriate to project scope.
Collaboration & Delivery
  • Work with business/product stakeholders to translate requirements into AI features or applications.
  • Collaborate with senior engineers and platform teams to adopt new capabilities and provide feedback.
  • Participate in agile development processes (Scrum) to deliver projects efficiently.
  • Mentoring or reviewing work from Analyst and Engineer I-level team members
Learning & Growth
  • Expand expertise in either AI infrastructure or application development, with opportunities to learn from senior engineers and cross-functional teams.
  • Share knowledge and support peer learning within the team.
Qualifications
  • Bachelor's in Computer Science, Software Engineering, Infrastructure Engineering, Cloud Engineering, or related field (or equivalent experience).
  • 5-7+ years of experience in software development, infrastructure engineering, or cloud engineering, with demonstrated proficiency in either AI infrastructure or AI application development.
  • Experience building backend applications and APIs (REST/GraphQL/gRPC) or developing user-facing AI applications.
  • Familiarity with GenAI frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.) or cloud-native development (AWS, Azure, GCP).
  • Proficiency in at least one modern programming language (Python, Java, TypeScript, etc.).
  • Experience with CI/CD pipelines and containerization (Docker, Kubernetes) is preferred.
  • Strong problem-solving and collaboration skills.
  • Excellent written and verbal communication skills.
Nice to Have:
  • Experience with vector databases, retrieval-augmented generation, or embedding models.
  • Exposure to enterprise security and compliance frameworks.
  • Familiarity with monitoring/observability stacks (Splunk, AWS CloudTrail, ScienceLogic).
  • Experience building chatbots, virtual assistants, or integrating AI into production systems.

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