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Databricks Engineer Jobs in Tennessee (NOW HIRING)

Data Engineer

Franklin, TN · On-site

$113K - $135K/yr

Data platforms (Snowflake, Databricks, BigQuery, Redshift) * ETL/ELT tools (ADF, Airflow, dbt) * Streaming technologies (Kafka, Event Hubs) * DevOps and CI/CD principles KPIs * Pipeline reliability ...

Data Engineer

White House, TN · On-site

$110K - $132K/yr

Position Summary VantageWorks is seeking a Data Engineer to help build and support the data ... Fabric, Databricks, Snowflake, Azure Synapse, or equivalent. · Experience building ETL/ELT ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

Data Engineer

Franklin, TN · Hybrid

$113K - $135K/yr

Data platforms (Snowflake, Databricks, BigQuery, Redshift) * ETL/ELT tools (ADF, Airflow, dbt) * Streaming technologies (Kafka, Event Hubs) * DevOps and CI/CD principles KPIs * Pipeline reliability ...

Data Engineer

White House, TN · On-site

$110K - $132K/yr

Position Summary VantageWorks is seeking a Data Engineer to help build and support the data ... Fabric, Databricks, Snowflake, Azure Synapse, or equivalent. • Experience building ETL/ELT ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Senior AI Solutions Engineer

Nashville, TN · On-site

$53.25 - $68.75/hr

... Engineer to build and deliver AI-powered tools that integrate with enterprise data and APIs. The ... Databricks, or enterprise data warehouses (integration focus). • Exposure to investment ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Familiarity with modern data engineering tools such as Databricks, Delta Lake, or Snowflake preferred. * Exposure to master data management (MDM) or enterprise data governance frameworks preferred.

Work closely with business stakeholders and data engineering teams to define requirements, validate data, and ensure reporting aligns with operational processes. * Use SQL and Azure Databricks to ...

Showing results 41-60

Databricks Engineer information

See Tennessee salary details

$54K

$101.3K

$184.2K

How much do databricks engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for databricks engineer in Tennessee is $101,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,100.00 and $120,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.
What cities in Tennessee are hiring for Databricks Engineer jobs? Cities in Tennessee with the most Databricks Engineer job openings:
Infographic showing various Databricks Engineer job openings in Tennessee as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $101,319 per year, or $48.7 per hour.

Senior Software Engineer - Data Engineering

UnitedHealth Group

Brentwood, TN • Remote

$91K - $163K/yr

Full-time

Retirement

Posted 4 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

186th of 887 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. 

You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

  • Design, build, and operate scalable data engineering platforms using modern ETL/ELT frameworks, including Azure Data Factory, Delta Lake, and cloud-native pipelines
  • Architect modular, reusable data systems that support batch and streaming workloads, advanced analytics, and AI/ML use cases
  • Influence overall data and AI platform architecture, including lakehouse design, metadata management, and data quality frameworks
  • Develop and optimize PL/SQL, Python, and Unix-based data processing solutions for high-volume, low-latency data pipelines
  • Enable Generative AI use cases by designing structured and unstructured data pipelines to support NLP, prompt engineering, vectorization, and inference workflows
  • Drive code reusability and standardized data patterns across teams through shared frameworks, libraries, and design standards
  • Ensure mature DevOps and DataOps practices, including CI/CD, automated testing, monitoring, incident response, and cost optimization
  • Deeply analyze ambiguous business and data problems, translating them into robust data engineering and AI solutions that deliver measurable business value
  • Lead adoption of best practices in data modeling, pipeline design, security, and governance, especially in regulated environments
  • Continuously assessing and modernizing existing data platforms, improving performance, reliability, scalability, and AI readiness
  • Partner with business, analytics, data science, and product leaders to manage delivery in an agile framework, rapidly delivering insights and AI-enabled capabilities
  • Mentor and coach engineers in data engineering, cloud, and Generative AI technologies, raising overall team capability
  • Attract and grow talent through strong technical leadership, effective interviewing, community engagement, and training junior interviewers
  • Communicate complex data and AI concepts clearly to both technical and non-technical stakeholders, including leadership presentations and solution demos

Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI 

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Bachelor's degree in CS or IT or Software Engineering related field 
  • 7 years of Data Engineering experience building enterprise-scale ETL/ELT solutions (e.g., ADF, DataStage, Talend, or equivalent)
  • 4 years of experience with Azure public cloud including Databricks and Snowflake
  • 3 years of hands-on experience with Unix/Linux shell scripting for data processing and automation
  • 3 years of experience with Oracle PL/SQL development for data transformation, performance tuning, and production workloads
  • 3 years of production support experience, including on-call rotations, incident resolution, and root cause analysis
  • 2 years of experience with high-level programming languages, such as Python, Java, or Node.js, with Python preferred

Preferred Qualifications: 

  • Excellent written and verbal communication skills, with the ability to explain data and AI concepts clearly
  • Prior technical or people leadership experience, including ownership of complex systems
  • Demonstrated experience mentoring and developing junior Engineers

 *All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. 

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. 

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

#RPO #GREEN


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