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Cloud Data Engineer Jobs in Tennessee (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

Data Engineer

Afton, TN · On-site +1

$100K - $120K/yr

... 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

Knoxville, TN · On-site

$120K - $155K/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 ...

Data Engineer

Knoxville, TN · Remote

$120K - $155K/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 ...

Data & AI Platform Engineer

Nashville, TN · On-site

$110K - $132K/yr

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 ...

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 ...

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 ...

Senior Data Engineer

Nashville, TN · On-site

$102K - $139K/yr

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 ...

AWS Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Master's degree in Data Engineering, Cloud Computing, or AI (Preferred) * AWS Certifications such as: * AWS Certified Data Engineer - Associate * AWS Certified Solutions Architect * AWS Machine ...

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 ...

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 Sep 2, 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 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, 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 Associate Data Engineer L1

Raise

Knoxville, TN • On-site

$101K - $137K/yr

Other

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Senior Associate Data Engineer L1

  • Contract Length: 6 Months
  • Location: East Coast OR Knoxville, Tennessee
  • Target Start Date: Immediately
  • Location: East Coast preferred- PS office locations OR Knoxville, TN (client site)- Atlanta, Arlington, Boston, Chicago, Minneapolis, Dallas, Houston
  • Interview Process: 2-3 rounds
  • About the role: job description attached


Raise is currently hiring a Senior Associate Data Engineer on behalf of our client. They’re expanding their team to meet growing needs, making this a unique opportunity to work with an industry leader. Our Client is a technology company that combines decades of industry expertise with next-generation AI technology that helps organizations reinvent how they build, operate and deliver by pairing human ingenuity with agentic systems that scale intelligence across the enterprise.


Description

The Associate People Senior Associate in Data Engineering, will translate client requirements into technical design and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution


Your Impact:

  • Data Ingestion, Integration and Transformation
  • Data Storage and Computation Frameworks, Performance Optimizations
  • Analytics & Visualizations
  • Infrastructure & Cloud Computing
  • Data Management Platforms
  • Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time
  • Build functionality for data analytics, search and aggregation


Qualifications

  • 3 to 6 years with Minimum 3 years of relevant experience in Big Data technologies
  • Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.
  • Strong experience in at least of the programming language Java, Scala, Python. Java preferable
  • Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc.
  • Well-versed and working knowledge with data platform related services on AWS
  • Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience
  • Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc
  • Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures
  • Performance tuning and optimization of data pipelines
  • Education and Certifications
  • Bachelor’s degree and year of work experience of 6 to 8 years or any combination of education, training and/or experience that demonstrates the ability to perform the duties of the position
  • Cloud data specialty and other related Big data technology certifications