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Databricks Data Engineer Jobs in Tennessee (NOW HIRING)

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

DevOps Engineer

Brentwood, TN · On-site

$50 - $68.25/hr

... data platform. Responsibilities : • Develop and maintain CI/CD pipelines in Azure DevOps to deploy notebooks, jobs, and workflows to Azure Databricks. • Integrate Databricks Repos with Azure ...

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

Hands-on experience with Databricks, including data engineering workflows. * Familiarity with ETL processes and best practices in data migration. * Excellent problem-solving and communication skills.

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 ...

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 ...

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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 Jul 2, 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:
Infographic showing various Databricks Data Engineer job openings in Tennessee as of June 2026, with employment types broken down into 1% Internship, 2% As Needed, 88% Full Time, and 9% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $117,733 per year, or $56.6 per hour.
Databricks Manager

Databricks Manager

Deloitte

Hermitage, TN • On-site, Remote

Other

Posted 11 days ago


Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

71st of 146 rated financial services


Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Databricks Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Databricks Manager on the AI & Data team, you will be responsible for...

  • Lead solution reviews and design update discussions to drive architecture decisions and secure design approvals
  • Translate approved designs into technical delivery plans and support the delivery team in building Databricks environments across Microsoft Azure, Amazon Web Services, and Google Cloud Platform, including integrations
  • Provide hands-on support for Databricks development, platform configuration, and infrastructure setup
  • Coordinate technical execution across the global delivery team to support quality delivery and issue resolution
  • Support data science and model teams with platform needs, environment enablement, and deployment readiness

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or equivalent experience.
  • 8+ years of experience with Databricks platform implementation, configuration, or development
  • Experience leading solution reviews, design updates, and architecture approval activities for cloud data platforms
  • Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services, or Google Cloud Platform, including integrations
  • Experience with Databricks MLOps or infrastructure setup
  • Experience coordinating delivery teams from a technical lead perspective and communicating designs, status, issues, and decisions to clients and project stakeholders
  • Limited immigration sponsorship may be available.
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience in consulting, including experience serving healthcare industry clients

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $147,600 to $174,600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Databricks Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Databricks Manager on the AI & Data team, you will be responsible for...

  • Lead solution reviews and design update discussions to drive architecture decisions and secure design approvals
  • Translate approved designs into technical delivery plans and support the delivery team in building Databricks environments across Microsoft Azure, Amazon Web Services, and Google Cloud Platform, including integrations
  • Provide hands-on support for Databricks development, platform configuration, and infrastructure setup
  • Coordinate technical execution across the global delivery team to support quality delivery and issue resolution
  • Support data science and model teams with platform needs, environment enablement, and deployment readiness

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or equivalent experience.
  • 8+ years of experience with Databricks platform implementation, configuration, or development
  • Experience leading solution reviews, design updates, and architecture approval activities for cloud data platforms
  • Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services, or Google Cloud Platform, including integrations
  • Experience with Databricks MLOps or infrastructure setup
  • Experience coordinating delivery teams from a technical lead perspective and communicating designs, status, issues, and decisions to clients and project stakeholders
  • Limited immigration sponsorship may be available.
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience in consulting, including experience serving healthcare industry clients

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $147,600 to $174,600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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