1

Cloud Data Engineer Jobs in Tennessee (NOW HIRING)

Data Engineer

Brentwood, TN

$108K - $130K/yr

OPPORTUNITY We are seeking an experienced Data Engineer with 2-3+ years of hands-on experience to ... Azure cloud platform experience including Azure Data Factory, Azure SQL, and related services

Data Engineering & Integration * Design, develop, and maintain enterprise data integration ... Cloud Modernization & Architecture * Lead modernization initiatives that migrate legacy data ...

Data Engineering & Integration * Design, develop, and maintain enterprise data integration ... Cloud Modernization & Architecture * Lead modernization initiatives that migrate legacy data ...

Data Engineering & Integration * Design, develop, and maintain enterprise data integration ... Cloud Modernization & Architecture * Lead modernization initiatives that migrate legacy data ...

Data Engineering & Integration * Design, develop, and maintain enterprise data integration ... Cloud Modernization & Architecture * Lead modernization initiatives that migrate legacy data ...

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

Senior Data Engineer Role Summary The Senior Data Engineer is responsible for designing, building ... The role requires deep experience with cloud data platforms, strong Python and SQL skills, and the ...

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

Senior Data Engineer Role Summary The Senior Data Engineer is responsible for designing, building ... The role requires deep experience with cloud data platforms, strong Python and SQL skills, and the ...

Senior Data Engineer

Memphis, TN

$95K - $129K/yr

Senior Data Engineer Role Summary The Senior Data Engineer is responsible for designing, building ... The role requires deep experience with cloud data platforms, strong Python and SQL skills, and the ...

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

Senior Data Engineer Role Summary The Senior Data Engineer is responsible for designing, building ... The role requires deep experience with cloud data platforms, strong Python and SQL skills, and the ...

Data Engineer

White House, TN · On-site

$110K - $132K/yr

Position Summary VantageWorks is seeking a Data Engineer to help build and support the data ... Integrate data from APIs, flat files, cloud platforms, and operational systems. Clean, validate ...

New

Data Engineer

White House, TN · On-site

$110K - $132K/yr

Position Summary VantageWorks is seeking a Data Engineer to help build and support the data ... cloud platforms, and operational systems. • Clean, validate, transform, and document data. • ...

Data Engineer

White House, TN · On-site

$110K - $132K/yr

Position Summary VantageWorks is seeking a Data Engineer to help build and support the data ... cloud platforms, and operational systems. · Clean, validate, transform, and document data. · ...

Sr Databricks Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

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

Lead Data Engineer

Nashville, TN · On-site

$99K - $130K/yr

Bachelor's degree 6+ years of experience delivering data engineering, analytics, or cloud data ... platform solutions 3+ years of experience with Databricks and Apache Spark 3+ years of experience ...

next page

Showing results 1-20

Cloud Data Engineer information

See Tennessee salary details

$21

$57

$79

How much do cloud data engineer jobs pay per hour?

As of Aug 4, 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 July 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $118,718 per year, or $57.1 per hour.

$108K - $130K/yr

Full-time

Re-posted 29 days ago


Job description

OPPORTUNITY

We are seeking an experienced Data Engineer with 2-3+ years of hands-on experience to design, build, and maintain robust data solutions within our Azure/Microsoft-centric technology stack. The ideal candidate will thrive in a collaborative yet independent work environment, delivering high-quality analytics solutions that drive business insights and decision-making.

SCOPE OF WORK

  • Design and implement scalable data models and pipelines using modern data engineering practices
  • Develop and maintain production-grade analytics solutions within Azure ecosystem
  • Build comprehensive dashboards and reports using Power BI to support business stakeholders
  • Collaborate with cross-functional teams to translate business requirements into technical solutions
  • Optimize SQL queries and data processing workflows for performance and reliability
  • Support and enhance existing data infrastructure while implementing new analytics capabilities
  • Participate in code reviews and maintain high standards for data quality and documentation
  • Respond quickly to critical data issues and provide solutions under tight deadlines

IDEAL CANDIDATE PROFILE

Required Qualifications

  • 2-3+ years of experience in analytics engineering, data engineering, or similar role
  • Advanced SQL proficiency with experience in complex query optimization and database design
  • Python programming skills for data manipulation, automation, and analytics
  • Power BI expertise including dashboard development, DAX, and data visualization best practices
  • Azure cloud platform experience including Azure Data Factory, Azure SQL, and related services
  • Data modeling experience with dimensional modeling, star/snowflake schemas, and ETL/ELT processes
  • Production environment experience including deployment, monitoring, and maintenance of data systems
  • Strong communication skills with ability to explain technical concepts to non-technical stakeholders
  • Proven ability to work independently and manage multiple priorities effectively
  • Experience working under pressure with quick turnaround requirements

Preferred Qualifications

  • Snowflake and/or Databricks experience with modern cloud data platforms
  • Private equity or financial services background - understanding of investment data, portfolio management, or financial reporting
  • Machine Learning experience including model development, deployment, or MLOps practices
  • Experience with additional Azure services (Synapse, Logic Apps, Power Platform)
  • Knowledge of data governance and compliance frameworks
  • Experience with version control (Git) and CI/CD practices
  • Advanced Python libraries experience (pandas, scikit-learn, etc.)