Senior Full Stack Engineer Jobs in Tennessee
Senior Full Stack Engineer jobs in Tennessee are in strong and consistent demand, concentrated in fintech, healthcare IT, logistics technology, and enterprise SaaS, with openings ranging from mid-level through principal and staff engineer. Nashville, Memphis, and Chattanooga lead hiring activity, anchored by employers such as HCA Healthcare, FedEx, and Asurion, all of which maintain significant engineering teams in the state. The most sought-after specializations include React and Node.js development, cloud-native architecture on AWS, and API integration within health data and supply chain platforms. Find a role that fits below and apply directly.
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Showing 5 of 15+ Senior Full Stack Engineer jobs
We are seeking a Full Stack Data Engineer to join our Data & Analytics team. This role is for someone who is genuinely strong with databases and great at connecting things together: you will design and tune the SQL and Snowflake models at the heart of our platform, build and orchestrate the pipelines that move data between systems on AWS, and stitch applications, warehouse, and reporting layers into one coherent, reliable flow.
What makes this role different is the domain. Our data comes off the tunnel point-of-sale and site controller systems such as DRB, membership and RFID plate-recognition data, wash counts, chemical and equipment telemetry, labor and payroll feeds, and marketing and CRM sources across a multi-brand, multi-site portfolio. You will be the person who turns that operational exhaust into trustworthy numbers the field and the executive team run on. Prior exposure to car wash operating platforms is a meaningful advantage; genuine curiosity about how a wash makes money is required.
Just as important, you bring real analytics under your belt you can interrogate data, spot what matters, and turn it into Power BI dashboards and analyses the business trusts. You will also use modern AI tooling, including LLM-based workflows and MCP servers, to make the platform smarter and more automated. With roughly three years of professional experience, you will partner with senior engineers and business stakeholders to deliver production-grade data products from ingestion through insight.
Requirements:
KEY RESPONSIBILITIES
Data Engineering
? Design, build, and maintain ELT pipelines that ingest, clean, and transform data from multiple internal and external source systems into Snowflake.
? Build and maintain reliable ingestion from car wash operating platforms — including DRB and comparable POS and site controller systems — handling site-level variation, historical restatements, and late-arriving transactions.
Data Modeling & Transformation
? Develop well-structured, tested, and documented dbt models; write performant SQL for complex transformations across the warehouse.
? Model core car wash domain concepts consistently across brands and sites — membership lifecycle, churn and retention, capture rate, average ticket, labor hours per wash, and site-level profitability — so a metric means the same thing everywhere it appears.
Pipeline Orchestration
? Own the scheduling, dependency management, and monitoring of engineering pipelines end to end — so jobs run in the right order, failures are caught early, and data lands fresh and on time for open-of-business reporting.
Systems Integration
? Connect things together: build the integrations that move data between source applications, APIs, the Snowflake warehouse, and downstream consumers across AWS, keeping the whole data flow coherent and reliable.
? Support integration work tied to acquisitions and new site openings, including onboarding newly acquired locations and reconciling legacy platform data into the standard model.
Analytics
? Go beyond reporting — dig into the data to answer real business questions, validate assumptions, and surface trends and anomalies; bring sound analytical judgment to every dataset you touch.
? Investigate operational questions that matter to the field, such as why membership conversion differs between comparable sites or how a promotion moved volume and retention.
Reporting & BI
? Build and maintain Power BI dashboards and semantic models that stakeholders rely on daily, with clean data models, solid DAX, and clear visual design.
Applied AI
? Use AI and LLM tooling — including MCP servers and AI-assisted development workflows — to automate data tasks, integrate AI capabilities into the platform, and prototype intelligent data services.
Engineering Practices & Collaboration
? Write clean, well-documented, version-controlled code; participate in code reviews; and uphold data quality, testing, and monitoring standards across the stack.
? Work closely with senior engineers, analysts, and business partners — including Operations and Finance — to scope problems, present findings, and iterate on solutions.
REQUIRED QUALIFICATIONS
? Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field — or equivalent practical experience.
? Approximately three years of professional experience in data engineering, analytics engineering, or a comparable technical role.
? Deep database skills: expert SQL — confident writing, optimizing, and debugging complex queries — plus a solid grasp of relational design, indexing and clustering, and query performance.
? Hands-on experience with Snowflake, or a comparable cloud data warehouse with willingness to go deep on Snowflake.
? Experience building and maintaining dbt models, including testing and documentation.
? Working experience with AWS and its core data services (S3, Lambda, Glue, IAM), and a track record of integrating applications, APIs, and data stores into orchestrated, dependable pipelines.
? Strong analytics under your belt: proven ability to analyze data rigorously and communicate findings, with hands-on Power BI experience covering data models, DAX, and well-designed dashboards.
? Working knowledge of modern AI tooling — LLM APIs, AI-assisted workflows, and familiarity with MCP (Model Context Protocol) servers or similar integration patterns.
? Familiarity with Git and collaborative development workflows.
? Solid problem-solving skills, with the ability to communicate technical results to non-technical audiences.
PREFERRED QUALIFICATIONS
Car Wash and Multi-Site Retail Domain
? Hands-on experience working with car wash operating platforms and their data — DRB, Sonny’s, Washify, or comparable point-of-sale, site controller, and unlimited-membership systems.
? Experience extracting, reconciling, or reporting on POS transaction and membership data in a multi-site environment.
? Background in car wash, convenience retail, quick-service restaurant, fitness, or another high-volume, subscription- or membership-based multi-unit business.
? Experience supporting data integration for acquisitions, conversions, or new site openings.
Technical
? Experience with orchestration tools such as Airflow, Dagster, or dbt Cloud jobs.
? Python for pipeline development, automation, and scripting.
? Exposure to containerization (Docker) and infrastructure-as-code such as Terraform.
? Experience building or integrating MCP servers, agents, or AI APIs into data workflows.
? Familiarity with dimensional modeling and warehouse design best practices.
? Experience administering or optimizing Snowflake, including warehouses, roles, and cost management.
We are seeking a Full Stack Data Engineer to join our Data & Analytics team. This role is for someone who is genuinely strong with databases and great at connecting things together: you will design and tune the SQL and Snowflake models at the heart of our platform, build and orchestrate the pipelines that move data between systems on AWS, and stitch applications, warehouse, and reporting layers into one coherent, reliable flow.
What makes this role different is the domain. Our data comes off the tunnel point-of-sale and site controller systems such as DRB, membership and RFID plate-recognition data, wash counts, chemical and equipment telemetry, labor and payroll feeds, and marketing and CRM sources across a multi-brand, multi-site portfolio. You will be the person who turns that operational exhaust into trustworthy numbers the field and the executive team run on. Prior exposure to car wash operating platforms is a meaningful advantage; genuine curiosity about how a wash makes money is required.
Just as important, you bring real analytics under your belt you can interrogate data, spot what matters, and turn it into Power BI dashboards and analyses the business trusts. You will also use modern AI tooling, including LLM-based workflows and MCP servers, to make the platform smarter and more automated. With roughly three years of professional experience, you will partner with senior engineers and business stakeholders to deliver production-grade data products from ingestion through insight.
Requirements:
KEY RESPONSIBILITIES
Data Engineering
? Design, build, and maintain ELT pipelines that ingest, clean, and transform data from multiple internal and external source systems into Snowflake.
? Build and maintain reliable ingestion from car wash operating platforms — including DRB and comparable POS and site controller systems — handling site-level variation, historical restatements, and late-arriving transactions.
Data Modeling & Transformation
? Develop well-structured, tested, and documented dbt models; write performant SQL for complex transformations across the warehouse.
? Model core car wash domain concepts consistently across brands and sites — membership lifecycle, churn and retention, capture rate, average ticket, labor hours per wash, and site-level profitability — so a metric means the same thing everywhere it appears.
Pipeline Orchestration
? Own the scheduling, dependency management, and monitoring of engineering pipelines end to end — so jobs run in the right order, failures are caught early, and data lands fresh and on time for open-of-business reporting.
Systems Integration
? Connect things together: build the integrations that move data between source applications, APIs, the Snowflake warehouse, and downstream consumers across AWS, keeping the whole data flow coherent and reliable.
? Support integration work tied to acquisitions and new site openings, including onboarding newly acquired locations and reconciling legacy platform data into the standard model.
Analytics
? Go beyond reporting — dig into the data to answer real business questions, validate assumptions, and surface trends and anomalies; bring sound analytical judgment to every dataset you touch.
? Investigate operational questions that matter to the field, such as why membership conversion differs between comparable sites or how a promotion moved volume and retention.
Reporting & BI
? Build and maintain Power BI dashboards and semantic models that stakeholders rely on daily, with clean data models, solid DAX, and clear visual design.
Applied AI
? Use AI and LLM tooling — including MCP servers and AI-assisted development workflows — to automate data tasks, integrate AI capabilities into the platform, and prototype intelligent data services.
Engineering Practices & Collaboration
? Write clean, well-documented, version-controlled code; participate in code reviews; and uphold data quality, testing, and monitoring standards across the stack.
? Work closely with senior engineers, analysts, and business partners — including Operations and Finance — to scope problems, present findings, and iterate on solutions.
REQUIRED QUALIFICATIONS
? Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field — or equivalent practical experience.
? Approximately three years of professional experience in data engineering, analytics engineering, or a comparable technical role.
? Deep database skills: expert SQL — confident writing, optimizing, and debugging complex queries — plus a solid grasp of relational design, indexing and clustering, and query performance.
? Hands-on experience with Snowflake, or a comparable cloud data warehouse with willingness to go deep on Snowflake.
? Experience building and maintaining dbt models, including testing and documentation.
? Working experience with AWS and its core data services (S3, Lambda, Glue, IAM), and a track record of integrating applications, APIs, and data stores into orchestrated, dependable pipelines.
? Strong analytics under your belt: proven ability to analyze data rigorously and communicate findings, with hands-on Power BI experience covering data models, DAX, and well-designed dashboards.
? Working knowledge of modern AI tooling — LLM APIs, AI-assisted workflows, and familiarity with MCP (Model Context Protocol) servers or similar integration patterns.
? Familiarity with Git and collaborative development workflows.
? Solid problem-solving skills, with the ability to communicate technical results to non-technical audiences.
PREFERRED QUALIFICATIONS
Car Wash and Multi-Site Retail Domain
? Hands-on experience working with car wash operating platforms and their data — DRB, Sonny’s, Washify, or comparable point-of-sale, site controller, and unlimited-membership systems.
? Experience extracting, reconciling, or reporting on POS transaction and membership data in a multi-site environment.
? Background in car wash, convenience retail, quick-service restaurant, fitness, or another high-volume, subscription- or membership-based multi-unit business.
? Experience supporting data integration for acquisitions, conversions, or new site openings.
Technical
? Experience with orchestration tools such as Airflow, Dagster, or dbt Cloud jobs.
? Python for pipeline development, automation, and scripting.
? Exposure to containerization (Docker) and infrastructure-as-code such as Terraform.
? Experience building or integrating MCP servers, agents, or AI APIs into data workflows.
? Familiarity with dimensional modeling and warehouse design best practices.
? Experience administering or optimizing Snowflake, including warehouses, roles, and cost management.
See All 15 Senior Full Stack Engineer Jobs in Tennessee
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Find JobsSenior Full Stack Engineer Jobs by City in Tennessee
Where Tennessee roles are concentrated, by current openings.
Senior Full Stack Engineer Job Market in Tennessee
A snapshot from current Tennessee openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Banking & Financial Services
What Tennessee Employers Look For
The qualifications that appear most often in senior full stack engineer jobs across Tennessee.
- Five or more years of professional full stack development experience with modern JavaScript frameworks
- Strong proficiency in both front-end technologies such as React or Vue and back-end services
- Experience designing and consuming RESTful or GraphQL APIs in production environments
- Demonstrated ability to architect scalable cloud-based systems, preferably on AWS or Azure
- Familiarity with CI/CD pipelines, containerization tools such as Docker, and DevOps practices
- Bachelor's degree in computer science, software engineering, or a closely related technical field
Senior Full Stack Engineer Jobs in Tennessee: Frequently Asked Questions
How do you become a senior full stack engineer in Tennessee?
Senior full stack engineer roles in Tennessee do not require a state-issued license or certification, so the path centers on technical credentials and experience. Most Tennessee employers expect a bachelor's degree in computer science or software engineering, though a strong portfolio and relevant certifications in cloud platforms or frameworks carry real weight. Candidates typically progress through junior and mid-level roles at Nashville or Chattanooga technology companies before reaching senior consideration, and contributing to open-source projects or earning AWS certifications accelerates that timeline.
How much do senior full stack engineers make in Tennessee?
Senior full stack engineers in Tennessee earn a median of about $122,430 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $75,280 for the lowest 10% to over $166,380 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior full stack engineers in Tennessee?
Employers hiring senior full stack engineers in Tennessee right now include SpaceX, ITR, and Sonar, based on current listings on Migrate Mate as of August 2026. Tennessee's deep concentration of healthcare systems, logistics firms, and insurance technology companies means many of the most active engineering teams are embedded within large enterprises rather than pure software startups.
Which Tennessee cities have the most senior full stack engineer jobs?
Memphis, Nashville, and Knoxville account for the largest share of senior full stack engineer openings in Tennessee. Nashville drives the majority of demand through its dense cluster of healthcare IT, fintech, and enterprise software companies, while Memphis draws roles tied to logistics and supply chain technology, and Chattanooga benefits from a growing startup scene and the presence of large manufacturing and insurance technology employers.
Are there remote senior full stack engineer jobs in Tennessee?
Yes, and more than most fields. Full stack engineering is highly compatible with remote and hybrid arrangements because the work is software-based with no requirement for physical presence. About 86% of senior full stack engineer openings tied to Tennessee are remote or hybrid as of August 2026, reflecting the broader industry norm. Back-end and API-focused roles tend to be the most fully remote, while positions involving close collaboration with product or design teams often follow a hybrid schedule.
How can I get hired as a senior full stack engineer in Tennessee with little or no experience?
The most realistic entry path is an associate or junior software engineer role at a Tennessee technology employer, where structured mentorship and code review exposure build the depth required for senior consideration. Companies such as HCA Healthcare and Asurion run new-graduate and rotational engineering programs that place candidates without extensive experience onto product teams in Nashville. Building a public portfolio of full stack projects, earning an AWS Certified Developer credential, and contributing to local coding communities or Nashville Software School programs all give early-career candidates a concrete edge when applying.
Where can I find and apply to senior full stack engineer jobs in Tennessee?
You can find and apply to senior full stack engineer jobs in Tennessee on Migrate Mate, which lists current openings across the state. Search the available roles, find the ones that match your experience and preferred location, and apply directly to the employers posting them.
See All 15 Senior Full Stack Engineer Jobs in Tennessee
Find roles in Tennessee that match your experience and apply in just a few clicks.
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