1

Databricks Data Engineer Jobs in Tennessee (NOW HIRING)

Azure Data Architect

Nashville, TN · On-site

$66.05 - $76.05/hr

Provide architectural leadership for Snowflake and Databricks-based solutions. * Collaborate with BI, data engineering, and analytics teams to ensure architectural alignment. * Establish data ...

DevOps Engineer

Brentwood, TN · On-site

$50 - $68.25/hr

Store and manage Databricks secrets, tokens, and configuration securely within Azure Key Vault and DevOps variable groups. * Understand and apply DevOps practices in a data platform context. Position ...

... g., Snowflake, Databricks, Azure, or similar technologies) * Strong knowledge of Software ... Strong understanding of data engineering frameworks, including ETL/ELT pipelines, data lakes, and ...

... g., Snowflake, Databricks, Azure, or similar technologies) * Strong knowledge of Software ... Strong understanding of data engineering frameworks, including ETL/ELT pipelines, data lakes, and ...

... g., Snowflake, Databricks, Azure, or similar technologies) * Strong knowledge of Software ... Strong understanding of data engineering frameworks, including ETL/ELT pipelines, data lakes, and ...

DevOps Engineer

Brentwood, TN · On-site

$50 - $68.25/hr

Store and manage Databricks secrets, tokens, and configuration securely within Azure Key Vault and DevOps variable groups. * Understand and apply DevOps practices in a data platform context. Position ...

Must have experience in architecting and implementing data architecture, data engineering ... Databricks or similar technologies. Advanced Analytics and Data Visualizations * Extensive ...

next page

Showing results 1-20

Databricks Data Engineer information

See Tennessee salary details

$40.4K

$117.7K

$161.1K

How much do databricks data engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for databricks data engineer in Tennessee is $117,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $124,800.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

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

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What are the most commonly searched types of Databricks Data Engineer jobs in Tennessee? The most popular types of Databricks Data Engineer jobs in Tennessee are:
What are popular job titles related to Databricks Data Engineer jobs in Tennessee? For Databricks Data Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Databricks Data Engineer jobs in Tennessee look for? The top searched job categories for Databricks Data Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Databricks Data Engineer jobs? Cities in Tennessee with the most Databricks Data Engineer job openings:
Manager of Data Engineering & Architecture - Hybrid / Remote

Manager of Data Engineering & Architecture - Hybrid / Remote

Surgery Partners

Brentwood, TN • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Surgery Partners rating

7.6

Company rating: 7.6 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

187th of 871 rated healthcare providers


Job description

  • Hybrid for candidates in Nashville and surrounding areas.
  • Remote option available for candidates outside of surrounding areas. 

Key Responsibilities

Leadership & Team Development

  • Lead, mentor, and develop a team of data, architectural engineers across onshore and offshore resources
  • Support workforce planning, hiring, onboarding, coaching, and performance management
  • Foster a culture of accountability, continuous improvement, and technical excellence

Data Platform & Architecture

  • Provide architectural direction for the enterprise data warehouse and data lake, ensuring alignment with healthcare data standards and regulatory requirements (e.g., HIPAA)
  • Design and optimize scalable, secure data pipelines using Azure Databricks, Apache Spark, and Azure-native data services
  • Guide integration of data from multiple healthcare sources, including EMRs, claims systems, and patient portals
  • Ensure solutions are designed for scalability, reliability, cost efficiency, and long-term maintainability

Delivery & Collaboration

  • Partner with clinical, operational, analytics, and IT teams to deliver trusted, self-service data and insights
  • Oversee strategic data initiatives and projects, ensuring alignment with business priorities and organizational goals
  • Promote and institutionalize Agile and iterative development practices within the data engineering organization

Governance, Quality & Compliance

  • Establish and enforce data governance, privacy, security, and quality standards across platforms and pipelines
  • Ensure compliant handling of healthcare data, including PHI, in accordance with HIPAA and internal policies
  • Support data stewardship, documentation, and auditability across the data ecosystem

Innovation & Strategy

  • Stay current with industry trends in data engineering, process automation, cloud platforms, DataOps, and MLOps
  • Identify opportunities to modernize tooling, architecture, and delivery practices to improve outcomes and efficiency
  • Contribute to long-term data and analytics strategy and roadmap development

Required Qualifications

  • Bachelor’s or master’s degree in computer science, Computer Engineering, Information Systems, or a related field (or equivalent experience)
  • 5+ years of experience in data engineering, automation or related technical roles
  • 3+ years of experience in leadership or people management capacity
  • Strong background in SQL, data modeling, and ETL/ELT development
  • Hands-on experience with Azure Databricks, including:
    • Building Spark-based data pipelines
    • Managing cluster performance and cost optimization
    • Integrating with Azure Data Factory and Azure Data Lake Storage
  • Deep understanding of Azure cloud architecture and healthcare-specific data challenges
  • Proven ability to design and architect data and analytics solutions across project, product, and program levels

Preferred Qualifications

  • Familiarity with healthcare data formats and standards such as HL7, FHIR, and claims data
  • Experience with BI and analytics tools such as Power BI, Tableau, or Sigma
  • Strong communication skills with the ability to collaborate effectively across technical and non-technical stakeholders
  • Experience operating in regulated environments with a focus on security, privacy, and compliance

Benefits:

  • Comprehensive health, dental, and vision insurance
  • Health Savings Account with an employer contribution
  • Life Insurance 
  • PTO
  • 401(k) retirement plan with a company match
  • And more! 

ENVIRONMENTAL/WORKING CONDITIONS: Normal busy office environment with much telephone work. Possible long hours as needed. The description is intended to provide only basic guidelines for meeting job requirements. Responsibilities, knowledge, skills, abilities and working conditions may change as needs evolve.

*If you are viewing this role on a job board such as Indeed.com or LinkedIn, please know that pay bands are auto assigned and may not reflect the true pay band within the organization.

*No Recruiters Please


What Surgery Partners employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom