ZipRecruiter

Log In

1

Databricks Engineer Jobs in Columbus, OH (NOW HIRING)

Immuta

Sr. IT Systems Engineer

Columbus, OH · Hybrid

$110K - $125K/yr

Technology partners include Snowflake, Databricks, AWS, Azure, Google Cloud, and Starburst ... ABOUT THE ROLE This engineering role focuses on building solutions that serve the organization. You ...

Immuta

Sr. IT Systems Engineer

Columbus, OH · Hybrid

$100K - $138K/yr

Technology partners include Snowflake, Databricks, AWS, Azure, Google Cloud, and Starburst. Immuta ... ABOUT THE ROLE This engineering role focuses on building solutions that serve the organization. You ...

Immuta

Sr. IT Systems Engineer

Columbus, OH · On-site

$110K - $125K/yr

Lead investors include NightDragon, Snowflake, and Databricks, along with additional funding from ... ABOUT THE ROLE This engineering role focuses on building solutions that serve the organization. You ...

Immuta

Sr. IT Systems Engineer

Columbus, OH · On-site

$110 - $125/hr

Technology partners include Snowflake, Databricks, AWS, Azure, Google Cloud, and Starburst. Immuta ... ABOUT THE ROLE This engineering role focuses on building solutions that serve the organization. You ...

previous page

Showing results 41-60

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Columbus, OH

Databricks Engineer information

See Columbus, OH salary details

$54.6K

$102.5K

$186.3K

How much do databricks engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for databricks engineer in Columbus, OH is $102,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,900.00 and $121,600.00 per year, depending on experience, location, and employer.

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?

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 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 $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

What are popular job titles related to Databricks Engineer jobs in Columbus, OH?

For Databricks Engineer jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in Columbus, OH look for?

The top searched job categories for Databricks Engineer jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Databricks Engineer jobs?

Cities near Columbus, OH with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Columbus, OH as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $102,456 per year, or $49.3 per hour.

Urgent Hiring || Python Engineer (AI/ML) OR Data Engineer with AI/ML | USC, GC, EADs | Columbus OH

HighFalutin LLC

Columbus, OH • On-site

Contractor

Re-posted 20 days ago

Job description

Please find the JD for below role and let me know if you are interested then please share your updated resume.

Python Engineer (AI/ML) OR Data Engineer with AI/ML OR Data Science (AI/ML)

Columbus OH
Relocation is open with prior history/ reason

Visa: USC, GC, EADs

Must Have Skills:

Need Python development and some experience in ML/AI

 

Must:    Python , Spark/Pyspark, AWS

Plus:      Data Bricks, Terraform

With AI/ML - preferred

Required qualifications, capabilities, and skills

Formal training or certification on Software Engineering concepts and 5+ years applied experience

Hands-on with building AI agents and Machine learning

Hands-on practical experience delivering system design, application development, testing, and operational stability

Strong hands-on coding capabilities in languages / platforms such as PySpark / Python / Databricks

Proficiency in automation and continuous delivery methods

Proficient in all aspects of the Software Development Life Cycle

Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

In-depth knowledge of the financial services industry and their IT systems