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Data Engineering Jobs in Tennessee (NOW HIRING)

Senior Data Engineer (Remote)

Nashville, TN Β· On-site

$110K - $132K/yr

Responsibilities Data Engineering & Architecture * Design and build end‑to‑end data solutions on Azure. * Develop lakehouse architectures using Azure Databricks , Delta Lake , and medallion ...

Analytics Data Engineer

Chattanooga, TN Β· On-site

$65K - $75K/yr

You will collaborate across data engineering, analytics, and business intelligence teams, using modern tools and frameworks to ensure data accuracy, scalability, and accessibility. By preparing and ...

Analytics Data Engineer

Chattanooga, TN Β· On-site

$104K - $125K/yr

You will collaborate across data engineering, analytics, and business intelligence teams, using modern tools and frameworks to ensure data accuracy, scalability, and accessibility. By preparing and ...

Analytics Data Engineer

Chattanooga, TN Β· On-site

$65K - $75K/yr

You will collaborate across data engineering, analytics, and business intelligence teams, using modern tools and frameworks to ensure data accuracy, scalability, and accessibility. By preparing and ...

Data Engineer

Afton, TN Β· 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.

Data Engineer

Farragut, TN Β· On-site

$100K - $120K/yr

The Geospatial Science & Engineering Division (GSED), of the National Security Sciences Directorate (NSSD), is seeking a highly motivated Data Engineer to support the automation of image processing ...

Data Engineer

Oak Ridge, TN Β· On-site

$109K - $131K/yr

The Geospatial Science & Engineering Division (GSED), of the National Security Sciences Directorate ... This position requires a strong background in image processing, data engineering, workflow ...

Data Engineer

Nashville, TN Β· On-site

$110K - $132K/yr

Qualifications Required : * 1-3+ years of experience in data engineering, analytics engineering, or software development with substantial data work. * Bachelor's or advanced degree in a relevant ...

New

Data Platform Engineer

Knoxville, TN Β· On-site

$109K - $131K/yr

Serve as a subject matter expert for data platforms, database technologies, Microsoft Fabric, data engineering, and analytics * Lead platform modernization, cloud adoption, and enterprise data ...

Sr Databricks Data Engineer

Nashville, TN Β· On-site

$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 Databricks Engineer ...

Senior Data Engineer

Nashville, TN Β· On-site

$102K - $139K/yr

In this role, you will partner closely with engineering, business, finance, and operations stakeholders to design and deliver scalable data solutions that transform complex operational data into ...

Senior Data Engineer

Nashville, TN Β· On-site

$102K - $139K/yr

In this role, you will partner closely with engineering, business, finance, and operations stakeholders to design and deliver scalable data solutions that transform complex operational data into ...

Data Engineer III

Memphis, TN Β· 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 ...

Data Engineer III

Memphis, TN Β· 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 ...

Showing results 21-40

Data Engineering information

See Tennessee salary details

$41.8K

$149.8K

$221K

How much do data engineering jobs pay per year?

As of Sep 14, 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.

What is data engineering?

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 does a data engineer do?

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 skills and qualifications are needed to thrive as a data engineer?

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.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

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 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:

Infographic showing various Data Engineering 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 $149,773 per year, or $72 per hour.

Senior Data Engineer (Remote)

Nashville, TN β€’ On-site

FOCUSPOINT
Business Management ConsultingΒ β€’Β 1 - 10 employees

$110K - $132K/yr

Full-time

Re-posted 8 days ago


Job description

Senior Data Engineer (Azure / Databricks)

Location: Remote Employment Type: Full time Compensation: Commensurate with experience

FocusPoint is actively building a pipeline of Senior Data Engineers for ongoing contract opportunities with enterprise clients. These roles focus on Azure, Databricks, PySpark, ADF, and Azure SQL in large, complex data environments.

Responsibilities

Data Engineering & Architecture

  • Design and build end‑to‑end data solutions on Azure.

  • Develop lakehouse architectures using Azure Databricks, Delta Lake, and medallion layers.

  • Create data models, integration patterns, and documentation.

Pipeline Development

  • Build and maintain production pipelines in Azure Data Factory (ADF) and Databricks.

  • Develop Python and PySpark transformations.

  • Integrate data from ERP, project management, cost systems, APIs, and SFTP sources.

Data Quality & Governance

  • Implement data quality checks, validation rules, and monitoring.

  • Use Unity Catalog for RBAC, lineage, and data governance.

  • Maintain data freshness, SLA tracking, and observability.

Production Support

  • Monitor pipelines, troubleshoot issues, and perform root‑cause analysis.

  • Optimize Databricks, ADF, and Azure SQL performance and cost.

  • Maintain runbooks and operational documentation.

Stakeholder Collaboration

  • Translate business requirements into technical designs.

  • Present solutions to technical and non‑technical teams.

  • Support engineering standards, CI/CD, and reusable patterns.

Required Experience
  • 10+ years of data engineering experience.

  • 5+ years working with Azure Data Platform.

  • Expert‑level Databricks, PySpark, Delta Lake, Unity Catalog.

  • Strong experience with Azure Data Factory (ADF).

  • Advanced SQL (Azure SQL or Synapse).

  • Strong Python and PySpark engineering skills.

  • Experience with ADLS Gen2, Managed Identity, Key Vault, RBAC.

  • Hands‑on Azure DevOps (branching, PRs, testing, pipelines).

  • Experience with data quality, lineage, and governance at scale.

Why Work With FocusPoint
  • Access to ongoing Senior Data Engineer contract roles.

  • Direct relationships with enterprise clients.

  • Confidential, candidate‑first process.

  • Clear communication and support throughout each engagement.

How to Be Considered

Apply. All inquiries are confidential. We review Senior Data Engineer candidates on an ongoing basis for upcoming Azure/Databricks opportunities.


About FocusPoint:
FocusPoint specializes in connecting top-tier professionals with exceptional opportunities in accounting, technology, healthcare, and leadership. We prioritize building meaningful connections, ensuring candidates find roles that align with their skills, goals, and passions.
 
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