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Databricks Engineer Jobs in Ohio (NOW HIRING)

Aimpoint Digital

$97K - $128K/yr

As Databricks continues to become a core enterprise AI platform, we are hiring Forward Deployed Engineers who can help clients design and deploy AI-native solutions on Databricks that create ...

Deloitte

Databricks Manager

Cleveland, OH · On-site +1

These solutions are powered by engineering for business advantage, transforming mission-critical ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

Deloitte

Databricks Manager

Cincinnati, OH · On-site +1

These solutions are powered by engineering for business advantage, transforming mission-critical ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

Deloitte

Databricks Manager

Dayton, OH · On-site +1

These solutions are powered by engineering for business advantage, transforming mission-critical ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

Deloitte

Databricks Manager

Columbus, OH · On-site +1

These solutions are powered by engineering for business advantage, transforming mission-critical ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

Inizio Partners

Databricks Architect

Dublin, OH · On-site

$61.25 - $80.25/hr

Databricks Architect Dublin, OH, United States About the Job Our client provides data-driven ... Lead Data Engineering Projects to manage and implement data-driven communication systems

Prohires

W2 - SENIOR DATA BRICKS DEVELOPER

Columbus, OH · On-site

W2 OVERALL EXPEREINCE We are seeking an experienced Databricks Developer to design, develop, and optimize large-scale data processing solutions for a financial services project. The ideal candidate ...

Databricks

Solutions Architect, Retail - CPG

Columbus, OH · On-site

$60.75 - $80.25/hr

Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA ...

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Databricks Engineer information

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$56.6K

$106.1K

$193K

How much do databricks engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for databricks engineer in Ohio is $106,128.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $126,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer 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 company size and industry demand.

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 career choice with good job prospects.

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.

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 Ohio? For Databricks Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Ohio look for? The top searched job categories for Databricks Engineer jobs in Ohio are:
What cities in Ohio are hiring for Databricks Engineer jobs? Cities in Ohio with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Ohio as of June 2026, with employment types broken down into 80% Full Time, 12% Part Time, and 8% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $106,128 per year, or $51 per hour.
Sr. Solutions Engineer - Hunter Team

Sr. Solutions Engineer - Hunter Team

Databricks

Cincinnati, OH • On-site

$54 - $69.50/hr

Full-time

Posted 27 days ago

Job description

Job Summary:
Databricks is the data and AI company that helps enterprises become more data-driven. The Sr. Solutions Engineer will work with the Enterprise Account Executive to define and direct the technical strategy for important accounts, focusing on the adoption of ML & AI solutions.
Responsibilities:
• You work with multiple clients as the main technical voice for Databricks.
• You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
• You implement the technical strategy in the account, in close understanding of the strategy.
• You build a movement of technical champions within the account.
• You align technical strategies around Databricks solutions.
• You work with your sales team and technical peers to drive business outcomes for our clients
Qualifications:
Required:
• Proficiency at establishing virtual teams, and leading them to ultimate success within the account.
• Experience working very large (> $1m ARR), global accounts.
• Form relationships with executives and influencers.
• Present a convincing point-of-view to important decision-makers that leads them down a path of success.
• Technical in big data, data science and cloud (Azure & AWS).
• An ability in data-driven business transformation, and driving change with data.
• Production programming experience in Python, R, Scala or Java
Preferred:
• Nice to have: Databricks, Snowflake, AWS or Azure Certification
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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