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Databricks Data Engineer Jobs in Tennessee (NOW HIRING)

Data Engineer

Knoxville, TN · Remote

$120K - $155K/yr

... e.g., Databricks, Snowflake, Redshift, or equivalent). * Proven experience supporting AI/ML ... feature engineering, data preparation, or embedding pipelines. * Strong background in data ...

Data Engineer

White House, TN

$110K - $132K/yr

Position Summary VantageWorks is seeking a Data Engineer to help build and support the data ... Experience with a cloud data platform such as Microsoft Fabric, Databricks, Snowflake, Azure ...

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 ...

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 ...

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 ...

The ideal candidate will have a strong background in Azure Databricks, data engineering, and data architecture, with a focus on building scalable and secure data platforms. The successful candidate ...

Be an ML Engineer & Make a Difference in Healthcare (US Remote-First with Nashville Option) Join ... Experience with healthcare data and Databricks. * CI/CD process knowledge (GitHub). What You'll Do:

Data & AI Platform Engineer

Nashville, TN · On-site

$110K - $132K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g ...

Showing results 21-40

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.

Principal Data Engineer

Dollar General

Goodlettsville, TN • On-site

$107K - $129K/yr

Full-time

Posted 23 days ago


Dollar General rating

4.0

Company rating: 4.0 out of 10

Based on 4,613 frontline employees who took The Breakroom Quiz

39th of 39 rated national retailers


Job description

Company Overview
A Principal Data Engineer is responsible for expanding and optimizing data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. This role involves building and optimizing data systems from the ground up, ensuring that data delivery architecture is consistent throughout ongoing projects.
The Principal Data Engineer supports software developers, database architects, data analysts, and data scientists on data initiatives, ensuring optimal data delivery and architecture. This position requires expertise in data pipeline building and data wrangling, with a focus on enhancing data systems for improved efficiency and performance.
Job Details
Duties & Responsibilities: What major responsibilities does this position have and what percentage of time is spent on completing them? (Typically 5 - 7)
• Develop, construct, test, and maintain data architectures: responsible for creating and maintaining optimal data pipeline architectures necessary for the organization's operational efficiency.
65%
• Collaborate with data scientists and other stakeholders: expected to collaborate with data scientists, business analysts, IT professionals, and management to assist with data-related technical issues and support their data infrastructure needs.
10%
• Assemble and prepare large, complex data sets to meet functional business requirements: required to work with different teams to understand their data needs and ensure those needs are met.
10%
• Build analytics tools: This will involve developing tools that utilize the data pipeline to provide actionable insights into key business performance metrics. 5%
• Maintain data security and compliance: ensure systems meet industry practices and business requirements for data privacy and protection. 5%
• Identify, design, and implement internal process improvements: This includes optimizing data delivery, automating manual processes, and re-designing infrastructure for greater scalability. 3%
• Keep up-to-date with the latest technology trends: Continually learn and adapt to new technologies that could improve existing systems 2%
Knowledge, Skills and Abilities (KSAs): What KSAs are required to perform this job?
• Hands on experience with programming languages (e.g. Python, SQL, GoLang)
• Knowledge with SQL database design concepts and Data Models
• Great numerical and analytical skills
• Degree in Computer Science, IT, or similar field; a Master's is a plus
• Data engineering certification (e.g., Cloud Engineer, Data Engineer) is a plus
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including MongoDG, Postgres and/or Cassandra.
• Experience with data pipeline and workflow management tools: Airflow, Dataflow, Composer, etc.
• Experience with GCP, Snowflake, Azure cloud services: BQ, Dataflow, Redshift
• Experience with stream-processing systems: Kafka, Spark-Streaming, etc.
• Good Knowledge of software engineering principles, methodologies and current best practices.
• Able to multitask and shift priorities as needed.
• Able to use BI Tools for data analysis and data QA.
Qualifications
Work Experience &/or Education: What are the minimum education and/or experience requirements necessary to perform this job?
• 9+ years experience and a degree in information technology or computer science with additional vendor-specific certification.
• BS or MS degree in Computer Science or a related technical field
• 4+ years of Python or Java development experience
• 4+ years of SQL experience (No-SQL experience is a plus)
• 4+ years of experience with schema design and dimensional data modeling
• Ability in managing and communicating data warehouse plans to internal clients
• Experience designing, building, and maintaining data processing systems
• Experience working with a cloud platform such as Snowflake / Azure or Databricks

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About Dollar General

Sourced by ZipRecruiter

What started as a single store is now a 20+ billion dollar Fortune 119 company. With 140,000+ employees and counting, we’re growing fast and so can you. There are endless opportunities for you, including award-winning training programs and career paths in retail, distribution, transportation or corporate. The possibilities are endless!

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Goodlettsville, TN, US