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Data Engineering Jobs in Tennessee (NOW HIRING)

Deloitte

Databricks Data Engineer

Nashville, TN

$110K - $132K/yr

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL) * Support the modernization of enterprise data ...

First Quality Retail Services

Data Engineer

Afton, TN · On-site +1

$100K - $120K/yr

Bachelor's degree in computer science, Information Technology, Engineering, or a related field. * 3 years of experience in designing and implementing data engineering solutions on-prem/cloud.

Kforce Technology Staffing

Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

DE III: 7+ years of experience in data engineering * DE II: 3-7+ years of experience in data engineering * Advanced to expert-level SQL with a consistent track record of designing and optimizing ...

Deloitte

Sr Databricks Data Engineer

Nashville, TN

$110K - $132K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Senior Consultant ...

United IT

Azure Data Engineer

Memphis, TN · On-site

$102K - $122K/yr

Job Posting Minimum of 10+ years of experience in data engineering, with a focus on Azure Data Factory. Strong background in ETL processes, data integration, and data warehousing. Proficiency in ...

Stifel

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Stifel

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Stifel

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

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Showing results 1-20

All JobsData Engineering JobsData Engineering Jobs in Tennessee

Data Engineering information

See Tennessee salary details

$41.8K

$149.8K

$221K

How much do data engineering jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data engineering in Tennessee is $149,773.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,200.00 and $154,300.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What jobs make $1,000,000 a year?

In data engineering, earning $1,000,000 annually is rare and typically involves senior roles such as lead data engineers or those working in high-paying industries like finance or technology, often with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Most high earners in this field also supplement income through equity, bonuses, or consulting. Such compensation levels are uncommon and usually require a combination of expertise, strategic position, and company size.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Tennessee? The most popular types of Data Engineering jobs in Tennessee are:
What are popular job titles related to Data Engineering jobs in Tennessee? For Data Engineering jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Tennessee look for? The top searched job categories for Data Engineering jobs in Tennessee are:
What cities in Tennessee are hiring for Data Engineering jobs? Cities in Tennessee with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Tennessee as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $149,773 per year, or $72 per hour.
Data Engineer - Remote in Nashville, TN

Data Engineer - Remote in Nashville, TN

TechniPros, LLC

Nashville, TN • On-site

$110K - $132K/yr

Other

Posted 2 days ago

Job description

Job Title: Data Engineer
Location: Remote in Nashville, TN
Long Term Contact
Can do Only W2, No C2C


Job Summary:

  • Kforce is seeking an experienced Data Engineer to support a modern cloud data environment. The ideal candidate will have exceptional SQL expertise and proven experience designing, building, and optimizing scalable, complex data transformation pipelines.
  • This role requires strong hands-on experience with SQL, Snowflake, Data Warehousing, Data Modeling, and Data Engineering practices. The candidate will work independently, support production-grade data workflows, and collaborate with cross-functional teams to deliver reliable analytics solutions.

Key Responsibilities:

  • Design, develop, and optimize complex SQL-based data transformation pipelines at enterprise scale.
  • Translate business requirements and logic into efficient, maintainable, and scalable SQL workflows.
  • Perform advanced SQL development including:
  • Query optimization
  • Analytical functions
  • Set-based operations
  • Complex transformations
  • Build and maintain enterprise data warehouse solutions using modern data engineering practices.
  • Develop and implement data models including:
  • Star schema
  • Snowflake schema
  • Denormalized data models
  • Design, develop, and maintain scalable data processing workflows.
  • Implement data quality frameworks, automated validation processes, and testing strategies.
  • Support production-grade data pipelines, monitoring, troubleshooting, and issue resolution.
  • Work with orchestration and scheduling frameworks for automated data workflows.
  • Collaborate with business stakeholders, analysts, and engineering teams to simplify complex technical concepts.
  • Follow Git-based development workflows and CI/CD practices.
  • Ensure data integrity, reliability, performance, and availability across platforms.

Required Skills:

  • 7+ years of experience in Data Engineering (DE III level)
  • 3+ years of experience in Data Engineering (DE II level)
  • Advanced to expert-level SQL development experience.
  • Strong experience designing and optimizing complex SQL transformation logic.
  • Hands-on experience with Snowflake in enterprise data warehouse or analytics environments.
  • Strong knowledge of:
  • Data Engineering concepts
  • Data Warehousing
  • Data Modeling
  • Dimensional Modeling
  • Data Processing
  • Analytics platforms
  • Experience with:
  • Snowflake Tasks
  • Data pipeline orchestration
  • Workflow scheduling
  • Production data workflows
  • Experience with Git-based workflows (GitHub preferred).
  • Strong understanding of:
  • Data quality frameworks
  • Automated testing
  • Data validation processes
  • Familiarity with:
  • COPY INTO
  • Snowflake-native ingestion patterns
  • Snowflake scheduling and orchestration capabilities
  • Strong analytical and problem-solving skills.
  • Ability to work independently and manage production systems.

Preferred Qualifications:

  • Hands-on experience with Python for:
  • Data processing
  • Automation
  • Pipeline development
  • Experience with CI/CD implementation patterns.
  • Experience with GitHub Actions.
  • Experience with AWS cloud services, including:
  • Amazon S3
  • AWS Glue
  • Exposure to:
  • Apache Airflow DAG development
  • Managed Airflow environments (MWAA)
  • Experience working in large-scale enterprise data ecosystems.
  • Experience with:
  • SRE-style automation
  • Monitoring
  • Observability frameworks
  • Healthcare domain experience including:
  • PHI/PII data handling
  • Healthcare claims lifecycle
  • EDI 835/837 formats
  • Exposure to Artificial Intelligence and modern analytics environments.

Best Regards:

Bindu M
Phone:
Email:

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