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Data Engineering Jobs in Tennessee (NOW HIRING)

FOCUSPOINT

Senior Data Engineer

Brentwood, TN · On-site

$55 - $65/hr

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

Cracker Barrel

Sr Manager Data Engineering

Lebanon, TN · On-site

What You'll Do - You'll Make the Moment Responsible for leading and managing the team designing data centralization/warehouse and architect that supplies information for the entire organization ...

Pwc

Data Engineer - Senior Manager

Nashville, TN

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Geosyntec Consultants, Inc.

Senior Data Engineer

Harriman, TN · On-site

$95K - $129K/yr

We are seeking a motivated Senior Data Engineer to contribute to our mission supporting our work at ... Geosyntec is an innovative, international engineering and consulting firm serving private and ...

New

LP Building Solutions

Data Scientist

Nashville, TN · On-site

While this role does not require hands-on data engineering responsibilities, it demands close collaboration with the Data Engineering team. Candidates should have a solid understanding of core data ...

Lucent Health Solutions LLC

Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Familiarity with CI/CD practices for data engineering and ETL workloads * Experience supporting large‑scale, mission‑critical data platforms in regulated or compliance‑driven environments Equal ...

Geosyntec Consultants, Inc.

Senior Data Engineer

Harriman, TN · On-site

$95K - $129K/yr

Geosyntec is an innovative, international engineering and consulting firm serving private and ... Build scalable data solutions supporting reporting, analytics, and AI initiatives. * Design and ...

New

Staffing Agency Recruitment

Data Scientist

Franklin, TN · Remote

$125K - $150K/yr

While this role does not require hands-on data engineering responsibilities, it demands close collaboration with the Data Engineering team. Candidates should have a solid understanding of core data ...

Simarn Solutions

Lead Data Architect

Memphis, TN · On-site

Seeking a Lead Data Architect with 10+ years of experience in data engineering, cloud migration, and architecture design. The role involves leading end-to-end data modernization projects across AS400 ...

Bespoke Labs

Data Engineer

Jackson, TN · On-site

$100K - $120K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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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.

Senior Data Engineer

FOCUSPOINT

Brentwood, TN • On-site

$55 - $65/hr

Full-time

Posted 9 days ago

Job description

Senior Data Engineer (Azure / Databricks)

Location: Multiple U.S. locations (client sites vary) 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 across multiple U.S. locations. 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.