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Databricks Engineer Jobs in Tennessee (NOW HIRING)

Experience with data and pipeline tools such as Databricks, Snowflake, BigQuery, dbt, or Airflow ... Participating in prompt engineering, retrieval-augmented generation (RAG), and early-stage AI ...

AI Sr. Engineer - LLMOps & MLOps

Memphis, TN · On-site

$93K - $128K/yr

AI Sr. Engineer - LLMOps & MLOps This is a high-stakes, execution-focused role within the ... Partner with teams using platforms like Palantir, Databricks, or Snowflake to ensure a high ...

Data Engineering Vice President

Brentwood, TN · On-site

$170K - $219K/yr

Drive adoption and optimization of Databricks, Fivetran, and other core platform technologies Partner Across the Data Organization * Collaborate with Analytics Engineering to ensure seamless handoff ...

Data Engineer

Afton, TN · On-site +1

$100K - $120K/yr

We are seeking a Data Engineer for our First Quality Enterprises, LLC working remotely from the ... Strong proficiency in SQL, ADF, Azure Databricks or any other ETL tools. * Deep understanding of ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

... 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 ...

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

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Showing results 1-20

Databricks Engineer information

See Tennessee salary details

$54K

$101.3K

$184.2K

How much do databricks engineer jobs pay per year?

As of Jun 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 engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer 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 engineering may earn higher compensation. Salaries can also vary based on company size and industry demand.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong career choice with good job prospects.

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.

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, and why are they important?

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.
What are popular job titles related to Databricks Engineer jobs in Tennessee? For Databricks Engineer jobs in Tennessee, the most frequently searched job titles are:
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 June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $101,319 per year, or $48.7 per hour.
Agentic Delivery Engineer

Agentic Delivery Engineer

Deloitte

Hermitage, TN • On-site

Other

Posted 12 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on 06/9/2026.

Work you'll do

As a Software Engineer II on the Sales & Service team, you will be responsible for:

  • Supporting the implementation of artificial intelligence / machine learning (AI/ML), analytics, and automation solutions within client environments
  • Participating in prompt engineering, retrieval-augmented generation (RAG), and early-stage AI prototyping under the guidance of senior team members
  • Contributing to the integration of AI/ML models, including generative artificial intelligence and large language model (LLM)-based solutions, into business processes, applications, and user workflows
  • Building and maintaining data pipelines, including data ingestion, transformation, validation, and preparation for analysis or model use
  • Applying software engineering and AI tools to support business needs

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 provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Sales & Service offering designs and implements sales and service experiences, capabilities, and architectures required to bring customer strategies to life.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, Information Systems, or a technical field
  • 1+ years of experience building reliable, maintainable, and well-documented code
  • 1+ years of experience with generative artificial intelligence tools, large language model application programming interfaces, prompt engineering, or retrieval-augmented generation applications
  • 1+ years of experience building and deploying generative artificial intelligence / large language model-powered solutions in client or production environments, including data preparation, testing, deployment, or monitoring
  • Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • 1+ years of experience working with structured and/or unstructured data in a cloud or modern data environment such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Experience with data and pipeline tools such as Databricks, Snowflake, BigQuery, dbt, or Airflow
  • Experience with business intelligence and visualization tools such as Power BI, Tableau, or Looker
  • Experience translating business or user requirements into technical workflows, outputs, or solution components
  • Experience with machine learning operations (MLOps) concepts such as model versioning, experiment tracking, or deployment workflows
  • Government consulting experience

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 $71,300 to $140,600.

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:

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on 06/9/2026.

Work you'll do

As a Software Engineer II on the Sales & Service team, you will be responsible for:

  • Supporting the implementation of artificial intelligence / machine learning (AI/ML), analytics, and automation solutions within client environments
  • Participating in prompt engineering, retrieval-augmented generation (RAG), and early-stage AI prototyping under the guidance of senior team members
  • Contributing to the integration of AI/ML models, including generative artificial intelligence and large language model (LLM)-based solutions, into business processes, applications, and user workflows
  • Building and maintaining data pipelines, including data ingestion, transformation, validation, and preparation for analysis or model use
  • Applying software engineering and AI tools to support business needs

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 provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Sales & Service offering designs and implements sales and service experiences, capabilities, and architectures required to bring customer strategies to life.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, Information Systems, or a technical field
  • 1+ years of experience building reliable, maintainable, and well-documented code
  • 1+ years of experience with generative artificial intelligence tools, large language model application programming interfaces, prompt engineering, or retrieval-augmented generation applications
  • 1+ years of experience building and deploying generative artificial intelligence / large language model-powered solutions in client or production environments, including data preparation, testing, deployment, or monitoring
  • Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • 1+ years of experience working with structured and/or unstructured data in a cloud or modern data environment such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Experience with data and pipeline tools such as Databricks, Snowflake, BigQuery, dbt, or Airflow
  • Experience with business intelligence and visualization tools such as Power BI, Tableau, or Looker
  • Experience translating business or user requirements into technical workflows, outputs, or solution components
  • Experience with machine learning operations (MLOps) concepts such as model versioning, experiment tracking, or deployment workflows
  • Government consulting experience

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 $71,300 to $140,600.

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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