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Databricks Data Engineer Jobs in Tennessee (NOW HIRING)

... Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data governance frameworks - Understanding of modern cloud 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.

... Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the ...

Senior Data & AI Platform Engineer

Nashville, TN · On-site

$65 - $87/hr

Serve as the technical authority across a core platform (Fabric, Snowflake, or Databricks) plus a ... Minimum 6 years in data engineering, platform engineering, analytics engineering, or cloud ...

... Databricks Certified Data Engineer/Data Analyst/ML - Proven leadership in data-driven strategies - Demonstrating thought leadership in data governance - Collaborating on strategy and transformation ...

New

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.

Sr Engineer, Data Engineering

Knoxville, TN · On-site

$87K - $118K/yr

Research, develop, document, and modify Data Engineering processes and jobs per data architecture ... Experience with unified data platforms such as Databricks or Snowflake preferred * Strong knowledge ...

New

Sr Engineer, Data Engineering

Knoxville, TN · On-site

$87K - $118K/yr

Research, develop, document, and modify Data Engineering processes and jobs per data architecture ... Experience with unified data platforms such as Databricks or Snowflake preferred * Strong knowledge ...

New

Showing results 41-60

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 Aug 21, 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?

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 Databricks data engineer do?

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 as a Databricks data engineer?

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.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

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 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 August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $117,733 per year, or $56.6 per hour.

Data Strategy-Manager

Pwc

Nashville, TN

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics team, you will lead the development and implementation of data-driven strategies that drive business growth and enhance decision-making. As a Manager, you will motivate and inspire your team, leveraging their unique strengths to deliver exceptional client service while maintaining rigorous standards of quality and integrity. This role offers the chance to work with innovative technologies and collaborate on transformative projects that shape the future of data management and analytics.
Responsibilities
- Lead the creation and execution of data-driven strategies to enhance business performance
- Inspire and motivate team members to leverage their strengths for exceptional client service
- Maintain the delivery of quality work while adhering to ethical standards
- Collaborate on innovative projects that advance data management and analytics
- Utilize advanced technologies to refine decision-making processes
- Foster a culture of continuous improvement and professional development
- Manage project timelines and deliverables effectively
- Analyze complex data sets to derive actionable insights
What You Must Have
- Bachelor's Degree
- At least 5 years of experience
What Sets You Apart
- AWS Certified Data Analytics / Solutions Architect
- Azure Data Engineer / Azure Solutions Architect
- Google Professional Data Engineer
- DAMA CDMP (Certified Data Management Professional)
- Informatica Certified Professional
- Alation Certified Data Catalog Professional
- Collibra Certified Ranger/Steward/Expert
- SAP Certified Application Associate - SAP Master Data Governance (MDG)
- SnowPro Core / SnowPro Advanced
- Databricks Certified Data Engineer / Data Analyst / ML
- Proven leadership in data-driven strategies
- Experience in defining data governance frameworks
- Understanding of modern cloud data architectures
- Knowledge of data warehousing concepts
- Familiarity with big data engineering tools
- Proficiency in SQL and data visualization tools
- Experience in designing advanced analytics solutions
- Coaching and collaborating with team members

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK