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Databricks Developer Jobs in Ohio (NOW HIRING)

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 ...

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 ...

McKesson Corporation

Data Architect, Databricks

Columbus, OH · On-site

$61.50 - $79.25/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Our team is early in its Databricks maturity journey, and this hire will establish foundational ...

McKesson

Data Architect, Databricks

Columbus, OH · On-site +1

$61.50 - $79.25/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Our team is early in its Databricks maturity journey, and this hire will establish foundational ...

McKesson

Data Architect, Databricks

Columbus, OH · On-site +1

$61.50 - $79.25/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Our team is early in its Databricks maturity journey, and this hire will establish foundational ...

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Databricks Developer information

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How much do databricks developer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for databricks developer in Ohio is $58.46, according to ZipRecruiter salary data. Most workers in this role earn between $52.55 and $64.66 per hour, depending on experience, location, and employer.

What is a Databricks developer?

A Databricks Developer is responsible for designing, developing, and optimizing data pipelines and workflows using Databricks, a cloud-based data analytics platform. They work with big data technologies, such as Apache Spark, to process, transform, and analyze large datasets efficiently. Their role includes writing scalable code, creating data models, and collaborating with data engineers and analysts to support business intelligence and machine learning initiatives.

What are the key skills and qualifications needed to thrive in the Databricks developer position, and why are they important?

To thrive as a Databricks Developer, you need strong skills in data engineering, Spark programming, SQL, and cloud platforms, typically with a background in computer science or a related field. Hands-on experience with Databricks, Apache Spark, Python/Scala, and knowledge of cloud services like AWS or Azure, as well as relevant certifications, are highly valued. Analytical thinking, problem-solving, effective communication, and the ability to collaborate across teams are essential soft skills for this role. These abilities are crucial to designing scalable data solutions, streamlining data pipelines, and supporting business analytics in modern data-driven organizations.

What are the typical daily responsibilities of a Databricks developer?

As a Databricks Developer, your typical day involves designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. You’ll collaborate with data engineers, data scientists, and business analysts to ensure data is clean, accessible, and reliable for analytics and reporting. Tasks often include code reviews, optimizing data workflows, troubleshooting performance issues, and implementing best practices for data security and governance. This role offers a dynamic work environment that blends technical challenge with teamwork across multiple departments.

Is a Databricks developer an in demand skill?

Yes, Databricks developers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. Skills in Apache Spark, SQL, and cloud environments like AWS or Azure enhance employability in this role, which is often required in data-driven industries.

What is the salary of a Databricks developer?

The salary of a Databricks developer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior developers with expertise in Spark, cloud platforms, and data engineering can earn higher salaries, especially in competitive markets.

What are the most commonly searched types of Databricks Developer jobs in Ohio?

The most popular types of Databricks Developer jobs in Ohio are:

What are popular job titles related to Databricks Developer jobs in Ohio?

For Databricks Developer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Databricks Developer jobs in Ohio look for?

The top searched job categories for Databricks Developer jobs in Ohio are:

What cities in Ohio are hiring for Databricks Developer jobs?

Cities in Ohio with the most Databricks Developer job openings:

Databricks Developer jobs near you
Infographic showing various Databricks Developer job openings in Ohio as of August 2026, with employment types broken down into 79% Full Time, 7% Part Time, and 14% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $121,595 per year, or $58.5 per hour.

Senior Databricks Engineer

Kanak Elite Services Inc

Cincinnati, OH • On-site

$100K - $137K/yr

Contractor

Re-posted 17 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.