1

Cloud Data Engineer Jobs in Tennessee (NOW HIRING)

Data Engineer

Afton, TN · On-site +1

$100K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... prem & cloud). * Define data storage and retrieval mechanisms, including multi-tenant data ... Follow DevOps practices across all analytics systems * Communicate complex ideas in simple terms ...

Data Engineer Location: Brentwood, TN (Hybrid) Position Type: 12-Month Contract Schedule ... Cloud-based data services * Experience with data acquisition, cleansing, parsing, transformation ...

Principal Data Engineer

Goodlettsville, TN · On-site

$107K - $129K/yr

Company Overview A Principal Data Engineer is responsible for expanding and optimizing data and ... Airflow, Dataflow, Composer, etc. • Experience with GCP, Snowflake, Azure cloud services: BQ ...

Data & AI Platform Engineer

Nashville, TN

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is an early-career engineering role focused on building, operating, and improving cloud data ... Support day-to-day operations for cloud data platforms (workspace/project setup, access requests ...

New

Principal Data Engineer

Goodlettsville, TN · On-site

$107K - $129K/yr

Company Overview A Principal Data Engineer is responsible for expanding and optimizing data and ... Airflow, Dataflow, Composer, etc. • Experience with GCP, Snowflake, Azure cloud services: BQ ...

Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

We are seeking a Nashville, TN based Data Engineer to join our dynamic Data Team. This role is ... Experience with data modeling techniques and best practices for modern cloud-based data warehouses.

Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

We are seeking a Nashville, TN based Data Engineer to join our dynamic Data Team. This role is ... Experience with data modeling techniques and best practices for modern cloud-based data warehouses.

Senior Data Engineer

Nashville, TN · On-site

$102K - $139K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Oracle Cloud Infrastructure (OCI) is seeking a Senior Data Engineer to join the Capacity Data Analytics team. This team develops the trusted data foundation, reporting platforms, self-service ...

Senior Data Engineer

Memphis, TN · On-site

$103K - $139K/yr

We are seeking an experienced Senior Data Engineer with strong expertise in Azure Databricks, Spark, and Azure data services to design and deliver scalable, cloud-based data solutions for healthcare ...

Data Engineer - Manager

Nashville, TN · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or ...

Data Engineer - Senior Manager

Nashville, TN · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate ...

Data Engineer - Senior Associate

Nashville, TN · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and ...

Data Engineer

Franklin, TN · On-site

$113K - $135K/yr

  • Medical

  • Retirement

Experience with AWS, and other cloud platforms preferred. Skills & Experience * Programming: Python & SQL * Data platforms (Snowflake, Databricks, BigQuery, Redshift) * ETL/ELT tools (ADF, Airflow ...

Data Engineer

Murfreesboro, TN · On-site

$100K - $121K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... cloud infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Showing results 21-40

Cloud Data Engineer information

See Tennessee salary details

$21

$57

$79

How much do cloud data engineer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for cloud data engineer in Tennessee is $57.08, according to ZipRecruiter salary data. Most workers in this role earn between $48.65 and $65.00 per hour, depending on experience, location, and employer.

What are some common challenges a cloud data engineer faces when migrating data to the cloud?

Cloud Data Engineers often encounter challenges such as ensuring data security and compliance during migration, optimizing data pipelines for cloud performance, and managing data integrity across distributed systems. They must work closely with cross-functional teams to minimize downtime and avoid data loss, and frequently address issues related to data format compatibility and legacy system integration. Staying up-to-date with evolving cloud technologies and best practices is also essential for successful data migration projects.

What is the difference between Cloud Data Engineer vs Data Analyst?

AspectCloud Data EngineerData Analyst
Required CredentialsCloud certifications (e.g., AWS, Azure), SQL, programming skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, big data tools, data pipelinesData visualization, reporting, business insights
Employer & Industry UsageTech companies, finance, healthcare, cloud service providersMarketing, finance, retail, business intelligence

While Cloud Data Engineers focus on building and maintaining cloud-based data infrastructure, Data Analysts interpret data to provide business insights. Both roles require SQL skills, but Cloud Data Engineers emphasize cloud platforms and data pipeline development, whereas Data Analysts focus on data visualization and reporting.

What are the key skills and qualifications needed to thrive as a cloud data engineer?

To excel as a Cloud Data Engineer, you need strong expertise in data modeling, ETL processes, programming languages like Python or SQL, and a solid understanding of cloud platforms such as AWS, Azure, or Google Cloud, often supported by a relevant degree and cloud certifications. Familiarity with tools like Apache Spark, Hadoop, cloud storage systems, and data pipeline orchestration frameworks is typically required. Strong problem-solving skills, attention to detail, and effective communication help you deliver scalable solutions and collaborate with cross-functional teams. These competencies are essential for building robust, secure, and efficient data infrastructure that supports business intelligence and analytics.

What does a cloud data engineer do?

A cloud data engineer designs, builds, and maintains data pipelines and storage solutions in cloud environments such as AWS, Azure, or Google Cloud. They work with big data tools, manage data security, and optimize data workflows to support analytics and business intelligence. Proficiency in programming, database management, and cloud services is essential for this role.

What is a cloud data engineer?

A Cloud Data Engineer is an IT professional who designs, builds, and manages scalable data infrastructure and pipelines in cloud environments. They work with cloud platforms like AWS, Google Cloud, or Azure to create systems that collect, process, store, and analyze large volumes of data. Their responsibilities include setting up data lakes and warehouses, ensuring data quality and security, and enabling data-driven applications. Cloud Data Engineers collaborate with data scientists, analysts, and other stakeholders to support business intelligence and analytics initiatives.
What cities in Tennessee are hiring for Cloud Data Engineer jobs? Cities in Tennessee with the most Cloud Data Engineer job openings:
Infographic showing various Cloud Data Engineer job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $118,718 per year, or $57.1 per hour.

Cloud Engineer- Data/AI Focused

Innovative Solutions

Nashville, TN

$100K - $160K/yr

Full-time

Re-posted 5 days ago


Job description

As a Data & AI Engineer, you’ll build and deploy modern data pipelines and generative AI solutions on AWS — from scalable ETL/ELT workflows and cloud data platforms to production-grade RAG systems and AI agents. One engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you’re building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You’ll work directly with clients to deliver end-to-end data and AI solutions that are secure, scalable, and production-ready.


What You’ll Do:

  • Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR
  • Creating and maintaining data extraction, transformation, and loading processes
  • Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB
  • Implementing data lakes using S3 and related AWS services
  • Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude
  • Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases
  • Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
  • Writing and testing SQL queries and stored procedures
  • Documenting technical solutions and providing knowledge transfer to customers
  • Supporting the implementation of data governance and security controls
  • Troubleshooting and resolving issues with data pipelines and AI services
  • Participating in code reviews and implementing feedback
  • Assisting with proof-of-concept implementations for customer engagements

Required Skills:

  • 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development
  • 2+ years of hands-on AWS experience with production deployments
  • 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)
  • Proven track record delivering production AI applications from concept to deployment
  • Strong understanding of software engineering best practices (version control, testing, code review, documentation)
  • Experience working in agile/scrum environments with distributed teams
  • Excellent problem-solving skills and ability to work independently with minimal supervision
  • Strong written and verbal communication skills for client-facing interactions

Preferred:

  • Technical familiarity with AWS data and AI/ML services and modern data engineering practices
  • Hands-on experience with ETL/ELT processes and data transformation
  • Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks
  • Ability to write and optimize SQL queries across various database platforms
  • Knowledge of data modeling concepts and best practices
  • Strong analytical and problem-solving skills
  • Eagerness to learn new technologies and keep up with cloud and AI innovations
  • Excellent communication skills with the ability to explain technical concepts clearly
  • Attention to detail and commitment to solution quality
  • Collaborative mindset with strong teamwork capabilities
  • Experience or interest in automation and infrastructure as code
The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.