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Remote Data Platform Engineer Jobs in Tennessee (NOW HIRING)

Federal Express Corporation

GCP Architect

Memphis, TN · On-site +1

$18K/mo

End-to-End Pipeline Engineering: Architect and optimize automated, robust data ingestion and ... Platform Modernization & Migration: Drive the strategic transition from legacy on-premise or hybrid ...

Deloitte

GCP Manager

Memphis, TN · On-site +1

The practice helps clients modernize technology and data platforms and apply engineering to mission ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Deloitte

GCP Manager

Nashville, TN · On-site +1

The practice helps clients modernize technology and data platforms and apply engineering to mission ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Deloitte

GCP Manager

Hermitage, TN · On-site +1

The practice helps clients modernize technology and data platforms and apply engineering to mission ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Deloitte

AI and Data Science Engineer III

Nashville, TN · On-site +1

$110K - $132K/yr

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

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 ...

New

First Quality Retail Services

Data Engineer

Afton, TN · On-site +1

$100K - $120K/yr

... data warehouse platform (on-prem & cloud). * Define data storage and retrieval mechanisms ... Follow DevOps practices across all analytics systems * Communicate complex ideas in simple terms ...

ITR

Kubernetes Platform Systems Engineer

Oak Ridge, TN · On-site +1

Kubernetes Platform Systems Engineer The Department of Energy facility delivers scientific ... This position can be remote, but it'd require you to come on-site twice a year. * Must be eligible ...

Revecore

Data Operations Analyst

Franklin, TN · Remote

Remote-USA Revecoreis embarking on re-architecting and modernizing its core platform. The Data ... Collaborate with Data Engineering to support data ingestion, file processing, and pipeline ...

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Showing results 1-20

All 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 Jun 10, 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

Salesforce Data Cloud Engineer III (Memphis TN or Remote in the USA)

American Lebanese Syrian Associated Charities

Memphis, TN • On-site, Remote

$111K - $133K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Job description

At ALSAC you do more than make a living; you make a difference.
We like people who are different...because we're different, too. As one of the world's most iconic and respected nonprofits, we know what it's like to stand out. That's why we're looking at you. Your background, perspective, and desire to make an impact set you apart. As we work to help St. Jude cure childhood cancer, we're calling on the game-changers, innovators and visionaries to join our family. Not just for the kids of St. Jude, but also for you. Because at ALSAC, we develop and celebrate our employees. So, bring your whole, authentic self and become part of our shared mission: Finding cures. Saving children.®
Job Description
The Salesforce Data Cloud Engineer (Software Engineer III) provides technical leadership and hands-on engineering expertise in designing, developing, implementing, and supporting scalable enterprise data and application solutions. This role is a key contributor and mentor within the engineering team, serving as a subject matter expert across Salesforce Data Cloud, identity resolution, data governance, APIs, and multi-layered application development.
This position drives the architecture and delivery of Data Cloud pipelines, customer identity unification, and privacy-safe activation across enterprise platforms. The engineer continually evaluates emerging technologies, ensures adherence to secure development practices, and documents solutions through clear technical artifacts including diagrams, flowcharts, metadata definitions, and code documentation.
Primary Responsibilities
Salesforce Data Cloud & Unified Profile Engineering
  • Design, develop, and optimize Data Cloud pipelines-including Data Streams, Data Model Objects (DMOs), Data Graphs, Calculated Insights-to build a scalable unified Profile System with high-quality identity resolution and golden records.
  • Define, tune, and maintain identity resolution rulesets (deterministic and probabilistic) for accuracy, precision/recall, and measurable profile completeness.
  • Build and optimize Segments and Activation across Marketing Cloud, Advertising platforms, Sales/Service Cloud, and Commerce using privacy-safe matching and deduplication.
  • Implement data governance, consent modeling, and privacy controls (GDPR/CCPA) across ingestion, unification, storage, and activation.
  • Partner with Marketing, Product, Analytics, and CRM teams to translate business use cases into Data Cloud data models, insights, and event-driven activations.
Data Engineering, Integrations & Platform Reliability
  • Establish and maintain CI/CD pipelines, automated data quality checks, operational monitoring, data lineage visibility, and SLA reporting across ingestion and activation flows.
  • Collaborate on Lakehouse Federation and Zero-Copy architecture patterns with Amazon Redshift, Databricks, and other enterprise data platforms for analytics, ML integration, and model operationalization (Einstein Studio or external).
  • Architect and implement ETL/ELT processes using SQL, streaming platforms (Kafka/Kinesis), APIs, and microservices aligned to enterprise engineering standards.
  • Analyze and resolve complex technical issues across interconnected systems; perform root cause analysis, implement fixes, and prevent recurrence.
Application Development & Engineering Leadership
  • Apply software engineering best practices across front-end, back-end, and data layers while conforming to internal coding standards and secure development practices.
  • Create, modify, test, debug, document, and maintain complex application programs supporting enterprise systems.
  • Work directly with users, business analysts, and cross-functional teams to understand requirements, validate user needs, and drive enhancements.
  • Mentor and support Software Engineer I and II team members through code reviews, technical guidance, and skill development.
Continuous Learning & Technical Governance
  • Stay current with industry trends, emerging technologies, and Salesforce ecosystem advancements; participate in education, certifications, and learning opportunities.
  • Maintain thorough documentation (flowcharts, diagrams, layouts, data dictionaries, design specifications) to support system understanding and operational continuity.
Minimum Qualifications
  • 5+ years of experience in data engineering, CRM, or Customer Data Platforms (CDP).
  • 2+ years hands-on with Salesforce Data Cloud or an equivalent enterprise CDP.
  • Bachelor's degree in Information Systems, Engineering, Mathematics, Computer Science, or related field; 5-8 years technical and programming experience.
  • Strong SQL proficiency and hands-on expertise with Data Cloud entities (DMOs, Data Streams, Data Graphs, Calculated Insights, Segments, Activation).
  • Proven experience activating audiences across Marketing Cloud, Advertising platforms, Sales/Service Cloud, or Commerce Cloud.
  • Experience with ETL/ELT pipelines, streaming technologies (Kafka/Kinesis), REST/GraphQL APIs, and Git-based CI/CD.
  • Strong understanding of consent management, data privacy, PII/PHI protection, and compliance frameworks (GDPR/CCPA).
  • Professional experience developing across multiple layers of the application stack (front-end, back-end, data, APIs).
  • Experience in structured, cross-functional environments with established roles and processes.
  • Preferred skills include experience with Python, dbt, MDM platforms, Reverse ETL, enterprise data warehouses (e.g., Amazon Redshift), Einstein Studio or ML model operationalization, and Copado or similar Salesforce DevOps tooling.

Benefits & Perks
The following Benefits & Perks apply toFull-Time Roles Only
We're dedicated to ensuring children and their families have every opportunity to enjoy life's special moments. We're also committed to giving our staff excellent benefits so they can do the same.
  • Core Medical Coverage: (low cost low deductible Medical, Dental, and Vison Insurance plans)
  • 401K Retirement Plan with 7% Employer Contribution
  • Exceptional Paid Time Off
  • Maternity / Paternity Leave
  • Infertility Treatment Program
  • Adoption Assistance
  • Education Assistance
  • Enterprise Learning and Development
  • And more

ALSAC is an equal employment opportunity employer.
ALSAC does not discriminate against any individual with regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, transgender status, disability, veteran status, genetic information or other protected status.
No Search Firms:
ALSAC does not accept unsolicited assistance from search firms for employment opportunities. All resumes submitted by search firms to any ALSAC employee or ALSAC representative via email, the internet or in any form and/or method without being contacted and approved by our Employee Experience team and without a valid written search agreement in place will result in no fee being paid if a referred candidate is hired by ALSAC.

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