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Databricks Engineer Jobs in Berea, OH (NOW HIRING)

Jack Entertainment

Data Platform Engineer

Cleveland, OH · On-site

$23.61 - $70.82/hr

You will have the opportunity to work across several areas of data engineering rather than being ... Data platforms such as Snowflake, Databricks, BigQuery, Redshift, Microsoft Fabric, or Synapse.

Ohio Machinery Co.

Data Engineer

Broadview Heights, OH · On-site

$111K - $133K/yr

The Data Engineer's role is to plan, design, develop, test, implement, and maintain efficient ... Familiarity with Azure Data Services (ADLS, Synapse, ADF, Databricks, etc.). * Strong SQL ...

Ohio Machinery Company

Data Engineer

Broadview Heights, OH · On-site

$111K - $133K/yr

The Data Engineer's role is to plan, design, develop, test, implement, and maintain efficient ... Familiarity with Azure Data Services (ADLS, Synapse, ADF, Databricks, etc.). * Strong SQL ...

BakerHostetler

Data Solutions Engineer

Cleveland, OH

$110K - $133K/yr

... Azure Databricks, Apache Spark, Apache Airflow • Azure Logic Apps, Azure DevOps, Power Automate, REST API • Familiarity with Azure OpenAI and Document Intelligence for turning unstructured ...

BakerHostetler

Data Solutions Engineer

Cleveland, OH · On-site

$110K - $133K/yr

... Azure Databricks, Apache Spark, Apache Airflow • Azure Logic Apps, Azure DevOps, Power Automate, REST API • Familiarity with Azure OpenAI and Document Intelligence for turning unstructured ...

Pwc

Data Engineer - Senior Manager

Cleveland, OH

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

FirstEnergy

Supervisor Data Engineering

Akron, OH · Remote

Ensuring adherence to data engineering standards and governance, as well as IT change management ... Expertise in data lakehouse technologies (such as Databricks or Snowflake) and streaming platforms

Pwc

GenAI Python Systems Engineer-Director

Cleveland, OH · On-site

$155K - $410K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

Nestle

Senior Supply Chain Analytics Analyst

Solon, OH

$105K - $120K/yr

... Databricks Genie) to enable self-service reporting, automated insights, and intelligent analytics ... Mathematics, Statistics, Engineering, or a related discipline Plus, a minimum of 1 year of ...

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Showing results 21-40

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Berea, OH

Databricks Engineer information

See Berea, OH salary details

$55.5K

$104.1K

$189.3K

How much do databricks engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for databricks engineer in Berea, OH is $104,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,100.00 and $123,500.00 per year, depending on experience, location, and employer.

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?

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 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 $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

What cities near Berea, OH are hiring for Databricks Engineer jobs?

Cities near Berea, OH with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Berea, OH as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $104,088 per year, or $50 per hour.

Data Platform Engineer

Jack Entertainment

Cleveland, OH • On-site

$23.61 - $70.82/hr

Full-time

Posted 17 days ago

Jack Entertainment rating

6.6

Company rating: 6.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

98th of 164 rated casinos

Job description

You will have the opportunity to work across several areas of data engineering rather than being limited to one narrow specialty. This may include data integration, pipeline development, data modeling, quality monitoring, documentation, reporting support, and architecture discovery. We are more interested in how you approach problems than whether you have already used every technology in our environment. The right person is dependable, asks thoughtful questions, follows work through to completion, and knows how to use modern AI development tools responsibly and effectively.
Essential Functions
  • Build, maintain, and improve pipelines that move data between operational systems, databases, warehouses, and reporting tools.
  • Help document our existing data environment, including data sources, integrations, transformations, storage, reporting dependencies, and access controls.
  • Support an audit of the current data architecture by investigating how systems connect and identifying potential reliability, scalability, data-quality, security, or maintainability concerns.
  • Work with more experienced team members and business stakeholders to evaluate and prioritize improvements.
  • Develop and maintain reusable data models for reporting, analytics, and operational use.
  • Add testing, monitoring, alerting, logging, and documentation to important data workflows.
  • Investigate failed jobs, inconsistent metrics, and other data issues through structured root-cause analysis.
  • Write readable, maintainable code using source control, code review, automated testing, and repeatable deployment practices.
  • Translate business needs into practical technical solutions with guidance from internal stakeholders.
  • Use AI-assisted development tools to accelerate research, coding, testing, documentation, and troubleshooting.
  • Review and validate AI-generated work rather than accepting it without verification.
  • Learn unfamiliar systems and technologies as needed and share what you discover with the team.

Knowledge, Skills & Abilities
  • Strong foundational SQL skills and experience working with relational data.
  • Working knowledge of Python, R, or another language used for data processing and automation.
  • Some experience building, modifying, or supporting ETL/ELT pipelines.
  • Familiarity with databases, data warehouses, APIs, scheduled jobs, or cloud-based data services.
  • Basic experience with Git and modern software-development practices.
  • An ability to investigate unfamiliar problems, test assumptions, and communicate findings clearly.
  • A dependable approach to execution, documentation, and follow-through.
  • Genuine curiosity and a willingness to learn technologies outside your current experience.
  • Practical experience using AI coding assistants or language models as part of a development workflow.
  • Good judgment about validating AI-generated code and protecting confidential or sensitive company information.

Education and Experience
  • Bachelor's degree in Computer/Data Science or Analytics. In lieu of a degree, comparable professional experience in this discipline.
  • Approximately 1-3 years of relevant professional experience in data engineering, software development, analytics engineering, database development, or a related area.
  • Equivalent hands-on experience through internships, substantial projects, certifications, or other demonstrated work will also be considered.

Additional Preferred Experience
  • Cloud platforms such as Azure, AWS, or Google Cloud.
  • Data platforms such as Snowflake, Databricks, BigQuery, Redshift, Microsoft Fabric, or Synapse.
  • Transformation or orchestration tools such as dbt, Airflow, Dagster, Prefect, or Azure Data Factory.
  • Business intelligence tools such as Power BI, Tableau, or Looker.
  • CI/CD, infrastructure as code, containers, or automated deployment processes.
  • Data quality, governance, lineage, cataloging, privacy, or access management.
  • Supporting or documenting an existing data architecture.

Required Certification/License
  • Ability to obtain an OCCC Gaming License, OCCC Sports Gaming License, and an OLC Gaming License

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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