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Database Engineer Jobs in Tennessee (NOW HIRING)

Community Health Systems

Senior Data Engineer

Franklin, TN · On-site

$104K - $142K/yr

The Senior Data Engineer designs, builds, and optimizes scalable data pipelines and cloud-based ... Strong SQL skills and deep knowledge of relational databases and data warehousing * Proficiency in ...

Career Search

Senior Data Engineer

Brentwood, TN · On-site

$100K - $136K/yr

Advanced SQL proficiency with experience in complex query optimization and database design * Python programming skills for data manipulation, automation, and analytics * Power BI expertise including ...

Ndimensions IT

Database Administrator 3

Nashville, TN · Hybrid

Automation DevOps Enablement Develop automation using Shell, Python, Ansible, Terraform, or OCI Resource Manager. Integrate database operations into CI/CD pipelines. Standardize provisioning ...

LHH US

Database Administrator

Hendersonville, TN

$70K/yr

Database Administrator (DBA) II (Mid-Level) Location: Nashville, TN Employment Type: Full-Time, ... Collaborate with application developers, infrastructure teams, and business stakeholders. * Support ...

LHH US

Database Administrator

Hendersonville, TN

$70K/yr

Database Administrator (DBA) II (Mid-Level) Location: Nashville, TN Employment Type: Full-Time, ... Collaborate with application developers, infrastructure teams, and business stakeholders. * Support ...

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Showing results 21-40

All JobsDatabase Engineer JobsDatabase Engineer Jobs in Tennessee

Database Engineer information

See Tennessee salary details

$54.9K

$110.8K

$152K

How much do database engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for database engineer in Tennessee is $110,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,300.00 and $127,100.00 per year, depending on experience, location, and employer.

What is a database engineer?

As a database engineer, you work to develop and maintain data solutions and information systems for a company in any industry that requires processing and storage of large amounts of information, including healthcare providers or financial service firms. Because you often deal with sensitive data, you must be familiar with appropriate data protection and encryption processes, as well as relevant regulatory frameworks like HIPAA.

What does a database engineer do?

A Database Engineer is responsible for designing, implementing, and maintaining databases that store and organize data for organizations. They ensure that databases are reliable, secure, and optimized for performance. Their duties often include developing database architecture, writing scripts to automate tasks, troubleshooting issues, and collaborating with other IT professionals. Database Engineers play a key role in managing large volumes of data and supporting business operations through data integrity and availability.

What are the key skills and qualifications needed to thrive as a database engineer?

To thrive as a Database Engineer, you need expertise in database design, management, and optimization, often supported by a degree in computer science or a related field. Proficiency with database platforms like MySQL, PostgreSQL, Oracle, or SQL Server, as well as experience with tools such as SQL, ETL processes, and relevant certifications (e.g., Microsoft Certified: Azure Database Administrator Associate) are typical requirements. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with developers and stakeholders. These skills are crucial for ensuring data integrity, system performance, and supporting business operations through reliable data management.

What are some common challenges faced by database engineers when working with large-scale databases?

Database Engineers working with large-scale databases often encounter challenges such as optimizing query performance, ensuring data consistency across distributed systems, and managing database scalability as data volumes grow. They also need to implement robust backup and recovery solutions to minimize downtime in case of failures. Collaborating closely with application developers and system administrators is essential to address these challenges and maintain database reliability and security.

What is the difference between Database Engineer vs Database Administrator?

AspectDatabase EngineerDatabase Administrator
Primary RoleDesigns, develops, and implements database systems and solutionsMaintains, monitors, and manages existing databases for performance and security
Skills & CertificationsSQL, database design, scripting, certifications like Microsoft Certified: Azure Database Administrator AssociateSQL, backup and recovery, security, certifications like Oracle Certified Professional
Work EnvironmentOften involved in development teams, working on new database solutionsTypically in operations teams, ensuring database stability and performance
Employer & Industry UsageTech companies, finance, healthcare, where database design is neededOrganizations requiring ongoing database management and support

While both roles work with databases, Database Engineers focus on designing and building new database systems, whereas Database Administrators manage and maintain existing databases to ensure optimal performance and security.

Are database engineers in demand?

Database engineers are in high demand due to the increasing reliance on data management and storage across industries. They often require skills in SQL, database design, and familiarity with tools like Oracle, MySQL, or PostgreSQL, making their expertise valuable in many organizations. The role is expected to grow as data-driven decision-making becomes more critical.
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Database Engineer jobs near you
Infographic showing various Database Engineer job openings in Tennessee as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $110,831 per year, or $53.3 per hour.

Senior Data Engineer

Community Health Systems

Franklin, TN • On-site

$104K - $142K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Community Health Systems rating

6.9

Company rating: 6.9 out of 10

Based on 276 frontline employees who took The Breakroom Quiz

456th of 888 rated healthcare providers

Job description


Summary:
The Senior Data Engineer designs, builds, and optimizes scalable data pipelines and cloud-based data infrastructure. This role is critical to managing and organizing structured and unstructured data across the organization to enable outcomes analysis, insights, compliance, reporting, business intelligence, and data science. The Senior Engineer ensures data quality, security, and performance across platforms while providing technical leadership and mentorship to junior engineers.
Essential Duties & Responsibilities:
  • Design and build efficient, scalable data pipelines using cloud services
  • Maintain and refactor complex SQL and ETL processes in enterprise data platforms
  • Develop automation scripts, APIs, and infrastructure components
  • Collaborate with architects, analysts, and stakeholders to translate requirements
  • Ensure strong data quality, integrity, and security controls across platforms
  • Troubleshoot complex data issues and lead root cause analysis

Skills & Competencies:
  • Advanced SQL and strong data modeling expertise
  • Proficiency in Python or JVM languages for data engineering and automation
  • Deep knowledge of cloud-based data patterns, distributed systems, and modern data architectures
  • Strong analytical reasoning and problem-solving abilities
  • Ability to lead delivery efforts and mentor junior team members
  • Clear communication skills with the ability to explain technical concepts to non-technical audiences
  • Ability to work independently and collaborate effectively in cross-functional environments

Minimum Qualifications:
  • Bachelor's degree in Information Systems, Computer Science, Data Management, or related field preferred
  • 5-8 years of experience in data engineering or a similar role
  • Strong SQL skills and deep knowledge of relational databases and data warehousing
  • Proficiency in Python or JVM languages (e.g., Java, Scala, Kotlin) for data manipulation and automation
  • Hands-on experience with cloud data platforms (e.g., AWS, Azure, or Google Cloud Platform)
  • Solid understanding of ETL/ELT processes, data modeling, and data architecture
  • Track record of owning and leading technical projects
  • Experience with Agile methodologies and version control

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