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Databricks Engineer Jobs in Berea, OH (NOW HIRING)

The Lead BI Developer will drive the building and optimization of data transformations and curated reporting objects within the company-standard data lakehouse architecture (Databricks), ensuring ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

Engineer

Cleveland, OH · On-site

$100K - $120K/yr

Skill: Sr Data Engineering Architect Fraud Domain Must Have Technical/Functional Skills: * Define ... Hands-on experience with SQL, Python, Spark/PySpark, Databricks, Kafka, Airflow, Snowflake, and ...

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

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 ...

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 ...

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

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

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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 Aug 11, 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 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 $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 architecture can earn higher compensation, often exceeding $160,000 per year.

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.

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, and their roles are often available across various industries seeking data-driven solutions.
What cities near Berea, OH are hiring for Databricks Engineer jobs? Cities near Berea, OH with the most Databricks Engineer job openings:
Infographic showing various Databricks Engineer job openings in Berea, OH as of August 2026, with employment types broken down into 85% Full Time, 6% Part Time, 1% Temporary, and 8% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $104,088 per year, or $50 per hour.

Business Analyst / Databricks Developer | 1061318

Hive + Co

Akron, OH • Hybrid

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

We are seeking a highly analytical and technically skilled Business Analyst / Databricks Developer contractor in Akron, OH to support finance, operations, and executive decision-making through data-driven solutions. This role blends business analysis, financial modeling, data engineering, and dashboard development. The ideal candidate will be strong in Excel, experienced with Databricks, SQL, Python/Pandas, and capable of building impactful Power BI dashboards that turn complex data into actionable insights.
  • Must be local
  • 4 days a week in office

Key Responsibilities:
Business Analysis & Finance
  • Partner with finance, operations, and leadership teams to gather requirements and identify reporting needs.
  • Build budgets, forecasts, variance analyses, and financial models.
  • Analyze operational and financial performance trends to support strategic decisions.
  • Develop KPIs and scorecards for executive leadership.
  • Improve business processes through automation and data insights.
Data Engineering / Databricks
  • Develop and maintain ETL/ELT pipelines using Databricks.
  • Transform and cleanse large datasets for reporting and analytics use.
  • Optimize data models and workflows for performance and scalability.
  • Integrate multiple data sources including ERP, finance systems, and operational platforms.
Reporting & Dashboard Development
  • Design and maintain interactive dashboards in Microsoft Power BI.
  • Create executive-level reporting packages with clear visual storytelling.
  • Ensure data accuracy, consistency, and governance across reporting tools.
  • Automate recurring reports and manual processes.
Technical / Analytics
  • Write complex queries in SQL to extract and analyze data.
  • Use Microsoft Excel advanced functions including PivotTables, Power Query, formulas, VBA/macros preferred.
  • Use Python and pandas for data wrangling, automation, and advanced analytics.
  • Support ad hoc analysis and data requests from leadership teams.

Qualifications:
  • Bachelor's degree in Finance, Accounting, Business, Data Analytics, Computer Science, or related field.
  • 3+ years of experience in business analysis, finance analytics, BI, or data engineering roles.
  • Strong finance acumen with budgeting, forecasting, and variance analysis experience.
  • Hands-on experience with Databricks, SQL, Power BI, and Excel.
  • Proficiency in Python/Pandas.
  • Strong communication skills with ability to present to business leaders and executives.
  • Ability to translate business needs into technical solutions.

Preferred Qualifications:
  • Experience with ERP systems such as SAP or Oracle ERP.
  • Experience in utilities, manufacturing, banking, or large enterprise environments.
  • Knowledge of Azure data ecosystem.

Success Profile:
The right candidate is someone who can move comfortably between a finance meeting, an executive dashboard review, and building a Databricks pipeline the same day. Strong business judgment plus technical execution is critical.
Reference: 1061318
Worried that you don’t meet every single requirement listed in the job ad? Studies have shown that individuals from marginalized groups are less likely to apply to jobs unless they meet every single qualification. Hive + Co. is dedicated to building a diverse, inclusive and representative workplace, so if you’re excited about this role, but worried that you don’t meet every requirement, we encourage you to apply anyways. We’d love to get to know you.