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Remote Data Platform Engineer Jobs in Tennessee (NOW HIRING)

DevSecOps Engineer

Nashville, TN · Remote

$80 - $90/hr

Supporting cloud platform engineering initiatives within a multi-account AWS environment ... remote position. Application Deadline This position is anticipated to close on Sep 2, 2026. About ...

... Engineer (PE) licensure Work Location: This position is remote/hybrid work with a preferred for ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

Employees who live more than 50 miles away are eligible for a remote work arrangement; however ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

Showing results 41-60

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 Aug 23, 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 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 key skills and qualifications needed to thrive as a remote data platform engineer?

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 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 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:

Senior Development Engineer (Remote, US)

JMT Consulting

Nashville, TN • Remote

$90K - $110K/yr

Full-time

Re-posted 24 days ago


Job description

Overview

The Senior Development Engineer – Hands-On Data Integrations is a senior individual contributor role within the Data Services team, focused on the design, build, and day-to-day operation of production data integrations for nonprofit and mission-driven clients.


This role is deeply hands-on. The specialist spends the majority of their time writing code, configuring integrations, monitoring data flows, troubleshooting issues, and delivering working solutions. Client interaction is practical and delivery-oriented, with success measured by integration stability, accuracy, and supportability—not slide decks or abstract architecture.


This role requires a continuous, fluid transition between very technical work and speaking in plain language for non-IT client staff. The Specialist must be able to translate accounting end-user experiences into a viable technical solution design that addresses all the client’s pain points, and then translate that solution design back into plain language for the clients. 

Responsibilities

Build & Run Data Integrations

  • Design, build, and maintain production-grade data integrations between CRM, ERP, finance, and operational systems.
  • Write and maintain integration code, scripts, and jobs (API calls, transformations, validation logic, scheduling).
  • Implement and support REST and SOAP API integrations, secure file transfers, and batch processes.
  • Perform hands-on debugging and root-cause analysis of integration failures and data discrepancies.
  • Monitor integrations, respond to alerts, and resolve issues to meet agreed service expectations.

Data Quality, Validation & Reconciliation

  • Implement validation rules, control totals, and reconciliation checks to ensure data accuracy across systems.
  • Identify, diagnose, and correct data mismatches and processing errors.
  • Support audit-sensitive and finance-related data flows with clear traceability and logging.

Documentation & Supportability

  • Maintain practical, usable documentation, including mappings, explanations of logic, and runbooks.
  • Ensure integrations are supportable by other team members through clear structure and standards.
  • Contribute reusable scripts, templates, and patterns to the Data Services toolkit.


Client & Team Collaboration

  • Work directly with non-profit clients to understand desired system functionality and design the appropriate solution to best meet their needs.
  • Work directly with non-profit clients to understand integration behavior, troubleshoot issues, and deliver enhancements.
  • Partner with Project Managers and Account Managers to execute the scope of integration work.
  • Provide clear, concise status updates focused on progress, risks, and resolution—not theory.
  • Assist Sales with technical feasibility and effort estimates when needed (limited, practical involvement).

Continuous Improvement

  • Improve performance, reliability, and maintainability of existing integrations.
  • Reduce manual intervention through automation and better error handling.
  • Mentor junior team members through hands-on guidance and code reviews.
  • Stay current on API changes, platform updates, and integration best practices.


Qualifications

Required Skills & Experience

  • Bachelor's degree in Computer Science, Information Systems, or a related technical field, or equivalent practical experience.
  • 5-7 years of experience in data engineering, full-stack development, or a comparable technical role with a focus on system integration and custom development.
  • Proficiency with at least one scripting/programming language (e.g., Python, C#, Java) used for data manipulation and integration
  • Extensive experience with database technologies (Postgres, SQL, NoSQL) and writing complex queries.
  • Demonstrated experience with API integration (REST, SOAP) and ETL processes/tools.
  • Previous experience with GitHub and release management processes.
  • Proven ability to manage multiple concurrent projects and deadlines in a client-facing environment.
  • Excellent communication, presentation, and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders.


Desired Qualifications

  • Experience working in a professional services or consulting capacity.
  • Familiarity with modern cloud platforms (e.g., AWS, Azure, GCP) and serverless functions.
  • Experience with CRM systems (e.g., Salesforce) and their data models.
  • Experience with ERP systems (e.g., Sage Intacct) and their implementations 



Remote, US

Base Salary: $90,000-110,000 DOE