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Databricks Data Engineer Jobs in Ohio (NOW HIRING)

Data Engineer IV

Cincinnati, OH

$109K - $132K/yr

Exposure to ML tools like Databricks is a plus. Additional Information: * This role requires onsite ... data engineering space.

Senior Data Engineer

Hudson, OH · On-site

$96K - $131K/yr

Guide the phased replacement of Talend with Databricks-native processes; assist in evaluating and ... Mentor junior data engineers and serve as a technical resource across the team. What You'll Bring ...

Data Engineer

Mason, OH · On-site

$55 - $60/hr

Experience with big data technologies (Spark, Hadoop, Databricks - optional but preferred). * Familiarity with CI/CD, DevOps practices, and version control tools. Responsibilities: * Design, develop ...

DATA ENGINEER IV

Cincinnati, OH · On-site

$68 - $70/hr

Data Engineer IV Location: Cincinnati, OH - onsite Payrate $70/hr on W2. USC and GC Holder ... Familiarity with ML tools like SageMaker or Databricks is helpful but not required - we're happy to ...

OH

$110K - $132K/yr

Databricks Nice to have: Informatica/ETL. Responsibilities * Design and develop ETL processes based ... Proven working experience as a data engineer * Bachelor degree or equivalent in Computer Science

Data Engineer

Cincinnati, OH · On-site +1

$75K - $145K/yr

The Data Engineer will play a critical role in developing the data infrastructure that supports ... Azure Data Factory, Databricks, SQL Server Integration Services and Microsoft Power Automate

Data Engineer

Cleveland, OH · On-site +1

$75K - $145K/yr

The Data Engineer will play a critical role in developing the data infrastructure that supports ... Azure Data Factory, Databricks, SQL Server Integration Services and Microsoft Power Automate

Sr. Software Engineer

Cincinnati, OH

$109K - $132K/yr

Ohio Job Summary We are seeking a Data Engineer with strong expertise in the Databricks ecosystem to join our data engineering team. The ideal candidate will be responsible for designing, developing ...

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

... a Data Engineer to join our IT team! We are looking for someone who is driven, passionate about ... Databricks, and integration with Power BI and Copilot. * Strong understanding of Microsoft ...

Data Engineer - Manager

Cincinnati, OH · On-site

$99K - $232K/yr

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... Databricks and Snowflake - Guiding team members in data architecture development and database ...

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... Databricks and Snowflake - Guiding team members in data architecture development and database ...

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... Databricks and Snowflake - Guiding team members in data architecture development and database ...

Sr Data Architect, Databricks

Columbus, OH · On-site +1

$65 - $87/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Databricks adoption across teams * Design and implement secure, compliant data access frameworks ...

Senior Data Engineer

Blue Ash, OH

$97K - $132K/yr

Key Responsibilities Create and leverage Databricks notebooks to source, shape and store data using ... First round with HM 30 min, second round panel with Tech lead, PM and another Engineer HM will be ...

Sr Data Architect, Databricks

Columbus, OH · On-site +1

$65 - $87/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Databricks adoption across teams * Design and implement secure, compliant data access frameworks ...

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Databricks Data Engineer information

See Ohio salary details

$42.3K

$123.3K

$168.7K

How much do databricks data engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for databricks data engineer in Ohio is $123,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,700.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

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

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What are the most commonly searched types of Databricks Data Engineer jobs in Ohio? The most popular types of Databricks Data Engineer jobs in Ohio are:
What are popular job titles related to Databricks Data Engineer jobs in Ohio? For Databricks Data Engineer jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Databricks Data Engineer jobs? Cities in Ohio with the most Databricks Data Engineer job openings:
Infographic showing various Databricks Data Engineer job openings in Ohio as of June 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $123,321 per year, or $59.3 per hour.

$109K - $132K/yr

Other

Posted 14 days ago


Job description

Data Engineer IV

Seeking a Data Engineer IV to join its newly formed Machine Learning Data Enablement Team, part of the Customer Recommendation and Insights Squad within the Data Insights Tribe. This is an exciting opportunity to work on cutting-edge data pipelines that support enterprise-level machine learning models deployed in AWS SageMaker.

Key Responsibilities:

  • Build and maintain scalable, high-quality data pipelines to support ML model training and deployment.
  • Collaborate with data scientists and ML engineers to deliver curated, production-ready datasets.
  • Contribute to the foundation and best practices for machine learning data infrastructure across the bank.
  • Assist in designing and implementing robust data workflows using modern tools and platforms.

Required Qualifications:

  • 1–5 years of professional experience in data engineering or a related field.
  • Strong proficiency in SQL and Python.
  • Excellent collaboration skills and an eagerness to work closely with cross-functional teams.

Preferred Skills:

  • Experience working on ML-related projects or supporting data science teams.
  • Familiarity with cloud platforms, especially AWS SageMaker.
  • Knowledge of Snowflake, dbt, or other modern data transformation tools.
  • Exposure to ML tools like Databricks is a plus.

Additional Information:

  • This role requires onsite presence at least four days a week at the Cincinnati office.
  • Hands-on role with high visibility and direct impact on enterprise ML initiatives.
  • A great opportunity for early-career professionals eager to grow in the machine learning and data engineering space.