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Databricks Engineer Jobs in Tennessee (NOW HIRING)

NTT DATA Services

Cloud Data Engineer

Nashville, TN · On-site

$104K - $156K/yr

Leverage Databricks and Snowflake for data analysis and discovery, ensuring data is accessible and actionable. Leverage 10+ sources of data to derive insights. * Innovation and Learning: Quickly ...

Medisolv, Inc

$99K - $119K/yr

As a Data Engineer/Analyst, you will work closely with Medisolv clients to extract, transform and ... Databricks, Data Factory, Glue, Lambda, SQL Server). • Review existing data pipelines, data ...

Pwc

Data Engineer - Senior Associate

Nashville, TN

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

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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 4, 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.

Cloud Data Engineer

Sierra Systems, An Ntt Data Company

Nashville, TN • On-site

$110K - $132K/yr

Other

Posted 3 days ago

Job description

Cloud Data Engineer

NTT DATA is seeking a skilled Data Engineer to join our Data Village team. This role involves working on-site in Nashville or Plano as part of a dynamic team focused on delivering cutting-edge data solutions. The ideal candidate will have at least 5 years of experience in data engineering, with expertise in Databricks, Snowflake and AWS data services.

Key Responsibilities:

  • Utilize your ETL/Data Engineering expertise in Databricks, Snowflake and Cloud data services to build and maintain robust data solutions.
  • Lead the evaluation of various catalogs and query engines for the Data Lakehouse platform, documenting findings and reviewing them with the architecture teams.
  • Build and manage dozens of data pipelines to source and transform data based on business requirements.
  • Apply your knowledge in financial data analysis, risk, and compliance data management to support our financial services customers.
  • Leverage Databricks and Snowflake for data analysis and discovery, ensuring data is accessible and actionable.
  • Quickly learn new technologies by applying your current skills, staying ahead of industry trends and advancements.
  • Work closely with financial services clients to build modern data solutions that transform how they leverage data for key business decisions, investment portfolio performance analysis, and risk and compliance management.
  • Collaborate within a Pod of 4+ data engineers, working towards common objectives in a consultative fashion with clients.
  • Use Cloud native ETL services (i.e., AWS Glue or Snaplogic) and Python/SQL for data movement, streaming, and transformation services, ensuring efficient and reliable data workflows.

Requirements:

  • At least 5 years of experience in data engineering.
  • Proficiency in Snowflake and Cloud data services.
  • 5+ years of experience working with cloud services.
  • 2+ years of experience working with Databricks or Snowflake.
  • 3+ years working with PySpark.
  • Strong knowledge of data warehousing concepts.
  • Advanced skills in Python or Java programming for data engineering and data pipelines.
  • Proficiency in integrating data from various sources.
  • Strong knowledge of data modeling, storage and design within Snowflake.
  • Experience in securing data based on role and policy definitions.
  • Experience in building and managing data pipelines.
  • Experience AWS, Azure, or GCP data services.
  • Proficiency in using GitHub for version control.

About NTT DATA:

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

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