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Cloud Data Engineer Jobs in Tennessee (NOW HIRING)

Vital Services

Senior Data Engineer

Oak Ridge, TN · On-site +1

$110K - $130K/yr

As a Senior Data Engineer, you will work closely with our customer's department leads and project ... Cloud Infrastructure: Hands-on experience with cloud data storage architectures (e.g., AWS, Azure ...

Intellivo

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 ...

Intellivo

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 ...

Intellivo

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 ...

CereCore

Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Contract Contract Length: 12-months Position Summary The Data Engineer as part of the Data ... cloud data services * Specific expertise/experience building scalable pipelines, data models ...

The Providence Groups

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 ...

Capgemini

Lead Data Engineer - GCP

Nashville, TN · On-site

$130 - $170/hr

Architect and manage BigQuery, Cloud Storage, and Data Fusion for efficient data ingestion, transformation, and storage. * Team Leadership: Mentor junior engineers, review code, and establish data ...

Providence Groups LLC

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. • ...

Providence Groups LLC

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. · ...

American Bureau of Shipping

Data Engineer

Knoxville, TN · On-site

$102K - $122K/yr

Develop, implement, and maintain scalable ETL/ELT workflows using modern data platforms, cloud-native technologies, and data engineering best practices. * Ensure data quality, pipeline reliability ...

Parallon

Staff Data Engineer

Franklin, TN · On-site

Deploy and support cloud-native data pipelines in Google Cloud Platform (GCP), including BigQuery ... Azure Data Engineer or AWS Certified Data Analytics preferred Parallon, offers a total rewards ...

Parallon

Staff Data Engineer

Nashville, TN · On-site

Deploy and support cloud-native data pipelines in Google Cloud Platform (GCP), including BigQuery ... Azure Data Engineer or AWS Certified Data Analytics preferred Parallon, offers a total rewards ...

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How much do cloud data engineer jobs pay per hour?

As of Aug 24, 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 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 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 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 does a cloud data engineer do?

A cloud data engineer designs, builds, and maintains data pipelines and infrastructure in cloud environments such as AWS, Azure, or Google Cloud. They work with big data tools, manage data storage, and ensure data quality and security to support analytics and business decision-making.

What are popular job titles related to Cloud Data Engineer jobs in Tennessee?

For Cloud Data Engineer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Cloud Data Engineer jobs in Tennessee look for?

The top searched job categories for Cloud Data Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Cloud Data Engineer jobs?

Cities in Tennessee with the most Cloud Data Engineer job openings:

Cloud Data Engineer jobs near you
Infographic showing various Cloud Data Engineer job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $118,718 per year, or $57.1 per hour.

Senior Data Engineer

Oak Ridge, TN • On-site, Remote

Vital Services
See more jobs at Vital Servicesexternal

$110K - $130K/yr

Full-time

Posted 5 days ago

Job description

Summary
Vital Services is seeking a talented and experienced Senior Data Engineer to join our growing Information Technology team. This is an extraordinary opportunity to be a part of, and play an integral role in, the development of our Data & Reports team!
As a Senior Data Engineer, you will work closely with our customer's department leads and project coordinators to evaluate business needs and develop reports and dashboards to support strategic goals. The core focus of this role is to architect, build, and optimize robust data pipelines and storage solutions that ensure secure, high-performance data delivery, reporting accuracy, and seamless data synchronization across multiple core systems. You will also collaborate with other members of the Data and Information Technology teams to plan, design, develop, test, and deploy business intelligence data solutions.
The core focus of this role is to architect, build, and optimize robust data pipelines and storage solutions that ensure secure, high-performance data delivery, reporting accuracy, and seamless data synchronization across multiple core systems. A successful candidate will understand and fulfil their responsibility to develop and support databases, data structures, and data flow, with a focus on data integrity and reliability.
Responsibilities of the Senior Data Engineer Include:
In our organization, success in this seat means own-and-deliver execution on these five core areas:
  • Pipeline Architecture & ETL/ELT Execution: Design, build, and maintain scalable data infrastructure and automated pipelines to ingest, transform, and move high-volume data securely.
  • Database & Schema Modeling: Define and optimize data models, relational/non-relational database structures, and query performance to support reporting and operational applications.
  • Data Integrity & Governance: Own the monitoring and validation of data flows to ensure complete accuracy, quality, and compliance.
  • Complexity & Integration Management: Map out and resolve data dependencies across disparate external APIs, legacy databases, and cloud infrastructure, translating data "unknowns" into structured execution plans.
  • Operational Discipline & Reporting Support: Partner with the data and development teams to ensure pristine task estimating, technical documentation, and delivery data updates.
Skills & Experience of the Senior Data Engineer Include:
  • Experience: 5+ years of dedicated data engineering experience working with large-scale production databases and high-compliance distributed data environments.
  • Data & API Engineering: Proven mastery in building complex data pipelines, working with heavy data orchestration tools, and extracting data from complex third-party API networks.
  • Advanced Database Knowledge: Deep expertise in SQL/NoSQL query tuning, data warehousing principles, schema evolution, and index optimization.
  • Cloud Infrastructure: Hands-on experience with cloud data storage architectures (e.g., AWS, Azure) and modern practices for data pipelines.
  • Problem-Solving under Complexity: A clear track record of debugging mismatched data architectures, handling breaking schema changes, and optimizing slow, multi-system data jobs.
Measurables of the Senior Data Engineer:
To give you complete transparency, here are the numbers this role is accountable for keeping "in the green":
  • Pipeline Success Rate: Greater than 99% uptime and successful execution on automated core data pipelines.
  • Sprint Say/Do Ratio: Greater than 80% predictability on committed sprint tasks and complexity points.
  • Jira & Documentation Hygiene: 100% weekly compliance on task logging, estimation, and database schema documentation in Confluence.
Qualifications of the Senior Data Engineer:
  • A minimum of 5 years of experience in data engineering, analytics, or reporting roles.
  • At least 3 years of work experience in Business Intelligence is preferred.
  • Bachelor's degree in Mathematics, Economics, Computer Science, or other quantitative degrees preferred.
  • Strong knowledge of SQL, SSRS, MS Excel, Power BI, Oracle, Tableau, and other Business Intelligence tools.
  • Knowledgeable and experienced with different data sources, such as, MS SQL, Excel files, Azure SQL, Azure Cosmos DB, AS400, DB2, and Cloud Data Sources.
  • Deep understanding of SQL databases and query language.
  • Advanced Excel skills.
  • Familiarity with data storage, retrieval, and manipulation methods within both relational and non-relational database architectures.
  • Knowledge and experience in the Commercial (P&C) Insurance industry is a plus.
Compensation & Culture
  • Salary Range: $110,000 - $130,000
    • Final offer will be commensurate with experience and technical assessment results.
  • Hybrid Flexibility: We value our in-office culture, but offer a flexible hybrid schedule based on team project needs rather than a rigid "clock-in" or "in-office" requirement.
  • Growth Path: This position was opened due to new client projects and initiatives. As we provide white-glove MSP and SaaS services to our clients, this allows their businesses to grow and in turn allows us to grow. We invest in our employees and our client relationships, which has allowed us to continue to scale up and increase our capacity and growth trajectory.

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