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Databricks Engineer Jobs in Tennessee (NOW HIRING)

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Data Engineer

Brentwood, TN

$108K - $130K/yr

OPPORTUNITY We are seeking an experienced Data Engineer with 2-3+ years of hands-on experience to ... Snowflake and/or Databricks experience with modern cloud data platforms * Private equity or ...

Pwc

Data Engineer - Manager

Nashville, TN

$99K - $232K/yr

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... Databricks and Snowflake - Guiding team members in data architecture development and database ...

Geosyntec Consultants, Inc.

Senior Data Engineer

Harriman, TN · On-site

$95K - $129K/yr

Experience with Microsoft Fabric, Azure Synapse, Databricks, Denodo, Snowflake, or similar platforms. * Experience supporting AI and machine learning initiatives. * Relevant cloud or data engineering ...

First Quality Retail Services

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 ...

United IT Solutions

Data SME

Memphis, TN · On-site

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.

Pwc

GenAI Python Systems Engineer-Manager

Nashville, TN

$99K - $232K/yr

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 ...

Nissan Motor Co., Ltd.

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 ...

Nissan Motor Manufacturing UK

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 ...

Pwc

Data Engineer - Senior Associate

Nashville, TN

$77K - $202K/yr

... 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 ...

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Databricks Engineer information

See Tennessee salary details

$54K

$101.3K

$184.2K

How much do databricks engineer jobs pay per year?

As of Jul 3, 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 engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

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 job market for qualified candidates.

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 engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

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 job categories do people searching Databricks Engineer jobs in Tennessee look for? The top searched job categories for Databricks Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Databricks Engineer jobs? Cities in Tennessee with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Tennessee as of June 2026, with employment types broken down into 88% Full Time, 4% Part Time, and 8% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $101,319 per year, or $48.7 per hour.
Data Engineer

Data Engineer

Career Search

Brentwood, TN

$108K - $130K/yr

Full-time

Posted 28 days ago

Job description

OPPORTUNITY

We are seeking an experienced Data Engineer with 2-3+ years of hands-on experience to design, build, and maintain robust data solutions within our Azure/Microsoft-centric technology stack. The ideal candidate will thrive in a collaborative yet independent work environment, delivering high-quality analytics solutions that drive business insights and decision-making.

SCOPE OF WORK

  • Design and implement scalable data models and pipelines using modern data engineering practices
  • Develop and maintain production-grade analytics solutions within Azure ecosystem
  • Build comprehensive dashboards and reports using Power BI to support business stakeholders
  • Collaborate with cross-functional teams to translate business requirements into technical solutions
  • Optimize SQL queries and data processing workflows for performance and reliability
  • Support and enhance existing data infrastructure while implementing new analytics capabilities
  • Participate in code reviews and maintain high standards for data quality and documentation
  • Respond quickly to critical data issues and provide solutions under tight deadlines

IDEAL CANDIDATE PROFILE

Required Qualifications

  • 2-3+ years of experience in analytics engineering, data engineering, or similar role
  • Advanced SQL proficiency with experience in complex query optimization and database design
  • Python programming skills for data manipulation, automation, and analytics
  • Power BI expertise including dashboard development, DAX, and data visualization best practices
  • Azure cloud platform experience including Azure Data Factory, Azure SQL, and related services
  • Data modeling experience with dimensional modeling, star/snowflake schemas, and ETL/ELT processes
  • Production environment experience including deployment, monitoring, and maintenance of data systems
  • Strong communication skills with ability to explain technical concepts to non-technical stakeholders
  • Proven ability to work independently and manage multiple priorities effectively
  • Experience working under pressure with quick turnaround requirements

Preferred Qualifications

  • Snowflake and/or Databricks experience with modern cloud data platforms
  • Private equity or financial services background - understanding of investment data, portfolio management, or financial reporting
  • Machine Learning experience including model development, deployment, or MLOps practices
  • Experience with additional Azure services (Synapse, Logic Apps, Power Platform)
  • Knowledge of data governance and compliance frameworks
  • Experience with version control (Git) and CI/CD practices
  • Advanced Python libraries experience (pandas, scikit-learn, etc.)

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