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Databricks Developer Jobs in Ohio (NOW HIRING)

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 ...

Azure/Databricks Infrastructure Engineer

Columbus, OH · On-site

$53.75 - $72/hr

... DevOps or GitHub Actions * Supporting cloud modernization, analytics, AI, and enterprise data ... As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure ...

$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 ...

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 ...

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 ...

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

See Ohio salary details

$19

$58

$75

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 cities in Ohio are hiring for Databricks Developer jobs?

Cities in Ohio with the most Databricks Developer job openings:

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.

Sr DataBricks developer

Syntricate Technologies

Columbus, OH • On-site

Full-time

Re-posted 8 days ago


Job description

Job Summary:
Syntricate Technologies is seeking a Sr DataBricks developer to design, develop, and implement data pipelines using Spark and Python applications. The role requires expertise in AWS cloud services and integration tools to facilitate big data analytics and CI/CD pipeline setups.
Responsibilities:
• Experience with design, development and implementation of data pipeline using Spark/Python Applications.
• Good Knowledge and experience on Integration tools and deployment tool like Jenkins in setup of CI/CD pipeline.
• Experience with AWS cloud platform to perform Bigdata Analytics work using EMR cluster.
• Experience with development and implementation of various AWS services including Athena, Lambda, EC2, Elastic Search, Dynamo DB, Arora, Redshift, CloudWatch, S3 and Glue.
• Experience in developing Python Scripts to handle the complex data structures for analytics and for data ingestion into Enterprise.
• Hands on experience in Databricks.
Qualifications:
Required:
• Experience with design, development and implementation of data pipeline using Spark/Python Applications.
• Good Knowledge and experience on Integration tools and deployment tool like Jenkins in setup of CI/CD pipeline.
• Experience with AWS cloud platform to perform Bigdata Analytics work using EMR cluster.
• Experience with development and implementation of various AWS services including Athena, Lambda, EC2, Elastic Search, Dynamo DB, Arora, Redshift, CloudWatch, S3 and Glue.
• Experience in developing Python Scripts to handle the complex data structures for analytics and for data ingestion into Enterprise.
• Hands on experience in Databricks.
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.