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Databricks Engineer Jobs in Ohio (NOW HIRING)

Deloitte

Sr Databricks Data Engineer

Cleveland, OH

$111K - $133K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Deloitte

Sr Databricks Data Engineer

Columbus, OH

$110K - $132K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Deloitte

Sr Databricks Data Engineer

Cincinnati, OH

$109K - $131K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Kanak Elite Services Inc

Lead Data Engineer

Cincinnati, OH · On-site

$98K - $129K/yr

LEAD DATABRICKS ENGINEER LOCATION: CINCINNATI, OH (HYBRID) IMMEDIATE HIRE | F2F INTERVIEW | RAVEL EXPENSES COVERED |CINCINNATI, OH* We are hiring a Lead Databricks Engineer for a direct client ...

Databricks

Sr. Solutions Engineer

Columbus, OH · On-site

$53.25 - $68.75/hr

Databricks is the data and AI company, and they are seeking a Sr. Solutions Engineer to help large enterprises become more data-driven. The role involves defining and directing the technical strategy ...

Deloitte

Databricks Data Engineer II

Cleveland, OH · On-site

$111K - $133K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Deloitte

Databricks Data Engineer II

Columbus, OH · On-site

$110K - $132K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Deloitte

Databricks Data Engineer II

Cincinnati, OH · On-site

$109K - $131K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

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 ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Ohio

Databricks Engineer information

See Ohio salary details

$56.6K

$106.1K

$193K

How much do databricks engineer jobs pay per year?

As of Jul 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 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 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 July 2026, with employment types broken down into 1% As Needed, 89% Full Time, 5% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $106,128 per year, or $51 per hour.

Senior Databricks Engineer

Kanak Elite Services Inc

Cincinnati, OH • On-site

$100K - $137K/yr

Contractor

Posted 15 days ago

Job description

Hello There,

My name is Gunjan Sharma, and I serve as the Sr. Technical Recruiter at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of  Sr. Databricks Engineer with our esteemed client. If you are interested then please share your updated resume.

Role- Sr. Databricks Engineer
Location - Cincinnati, OH Locals only (f2f interview)
Duration- 6+ months
About the job

We are seeking a Senior Databricks Engineer with deep hands-on experience designing and implementing large-scale data solutions on Azure Databricks. The ideal candidate has real-world experience building and troubleshooting production-grade data pipelines, optimizing Spark workloads, managing Delta Lake architecture, and implementing DevOps best practices using IaC and CI/CD automation.

Key Responsibilities

  • Design, develop, and maintain data pipelines and ETL solutions in Azure Databricks using PySpark and Delta Lake.
  • Implement data integration frameworks and API-based ingestion using tools like Apigee or Kong.
  • Analyze, design, and deliver enterprise data architecture solutions focusing on scalability, performance, and governance.
  • Implement automation tools and CI/CD pipelines using Jenkins, Ansible, or Terraform.
  • Troubleshoot production failures and performance bottlenecks — fix partitioning, caching, shuffle, cluster sizing, and Z-ordering issues.
  • Manage Unity Catalog, enforce data security (row/column-level access), and maintain data lineage.
  • Administer Databricks clusters, jobs, and SQL warehouses, optimizing costs through auto-stop, job clusters, and Photon usage.
  • Collaborate with cross-functional teams to drive data strategy and standards across domains.
  • Create and maintain detailed architectural diagrams, interface specs, and data flow documentation.
  • Mentor junior engineers on Databricks, Spark optimization, and Azure data best practices.

Required Skills & Experience

  • 5+ years of experience as a Data Engineer with strong hands-on experience in Azure Databricks and PySpark.\
  • Solid understanding of Delta Lake, Z-ordering, partitioning, OPTIMIZE, and ACID transactions.

Thanks & Regards

Gunjan Sharma

Sr. Technical Recruiter

Email: Gunjan@kanakits.com

LinkedIn: https://www.linkedin.com/in/gk-s-5238053a5/

Kanak IT is an equal opportunity employer. We consider all applicants for employment without regard to citizenship, immigration status, race, gender, disability, or any other protected category.