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Databricks Engineer Jobs in Ohio (NOW HIRING)

AWS Databricks Engineer Location: Chicago, IL • 12+ years of overall experience in data engineering, cloud architecture, or analytics platforms. • Strong expertise in AWS big-data stack and ...

Sr Databricks Data Engineer

Cincinnati, OH

$109K - $131K/yr

As a Senior Consultant - 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 ...

Sr Databricks Data Engineer

Cleveland, OH

$111K - $133K/yr

As a Senior Consultant - 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 ...

Sr Databricks Data Engineer

Columbus, OH

$110K - $132K/yr

As a Senior Consultant - 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 ...

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 ...

Sr. Databricks Developer

Columbus, OH · On-site

$51 - $67.25/hr

Role : Sr. Databricks Developer Location: Columbus, OH Duration: 12 Months MOI : Telephonic & WebCam Primary Skills: SQL, Python, AWS & PYSPARK Need Candidates with a Minimum of 9 Years of Experience.

Sr. Databricks Developer

Columbus, OH · On-site

$117K - $157K/yr

They are seeking a Sr. Databricks Developer to design, develop, and optimize scalable data pipelines and cloud-based data solutions using Databricks, Python, and Apache Spark. Responsibilities : • ...

Sr. Databricks Developer

Dublin, OH · On-site

$65 - $70/hr

We are looking for a Databricks Developer with strong experience in Python and Apache Spark to design, develop, and optimize scalable data pipelines and cloud-based data solutions. * The ideal ...

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 ...

Databricks Data Engineer

Cincinnati, OH

$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 ...

Databricks Data Engineer

Cleveland, OH

$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 ...

Databricks Data Engineer

Columbus, OH

$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 ...

Sr. Solutions Engineer

Cincinnati, OH · On-site

$54 - $69.50/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 ...

Sr. Solutions Engineer - Hunter Team

Columbus, OH · On-site

$53.25 - $68.75/hr

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 ...

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Showing results 1-20

Databricks Engineer information

See Ohio salary details

$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 cities in Ohio are hiring for Databricks Engineer jobs? Cities in Ohio with the most Databricks Engineer job openings:
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.

Senior Databricks Engineer

Kanak Elite Services Inc

Cincinnati, OH • On-site

$100K - $137K/yr

Contractor

Posted 14 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.