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Databricks Data Engineer Jobs in Ohio (NOW HIRING)

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 ...

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 ...

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 ...

Azure Data Engineer

Dublin, OH · On-site

$108K - $129K/yr

... Databricks, or equivalent).appning+1 Proficiency in SQL and data transformation frameworks ... Data Engineering on Microsoft Azure) or Fabric Data Engineer Associate (DP-600).learn.microsoft+1 ...

New

$97K - $116K/yr

... Data, Backend und/oder DevOps Themen ... Relevante Technologien sind für uns zum Beispiel Apache Spark / Databricks, Apache Kafka, Apache ...

Azure Data Engineer (Python & AI/ML)

Cincinnati, OH · On-site

$111K - $134K/yr

Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS ... engineering, and data preparation for ML models • Experience with CI/CD pipelines and version ...

Health IT Data Engineer

Continental, OH · Remote

$125K - $135K/yr

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines ... Azure Data Factory, Synapse, Databricks, or Microsoft Fabric experience. * Power BI and Tableau ...

Data Engineer I - Finance

Cincinnati, OH

$109K - $131K/yr

As a Data Engineer you'll play a critical role within Financial Planning & Analysis (FP&A) ... Exposure to Microsoft Fabric, Lakehouse, Databricks, Azure, or similar cloud data platforms ...

Senior Data Engineer

Strongsville, OH

$97K - $132K/yr

Senior Data Engineer We are a Microsoft heavy organization looking to build out and modernize our ... Experience with modern cloud data warehouses (Fabric Warehouse, BigQuery, Databricks, etc ...

Showing results 41-60

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 Sep 11, 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?

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 Databricks data engineer do?

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 as a Databricks data engineer?

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.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

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 job categories do people searching Databricks Data Engineer jobs in Ohio look for?

The top searched job categories for Databricks Data Engineer jobs in Ohio 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 September 2026, with employment types broken down into 2% Internship, 72% Full Time, and 26% Contract. Highlights an 84% In-person, 4% Hybrid, and 12% Remote job distribution, with an average salary of $123,321 per year, or $59.3 per hour.

Senior Data Engineer

Hilliard, OH • Hybrid

$100K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 5 days ago


Advanced Drainage Systems rating

7.0

Company rating: 7.0 out of 10

Based on 46 frontline employees who took The Breakroom Quiz


Job description

Advanced Drainage Systems is a leading manufacturer of stormwater and onsite septic wastewater solutions, committed to sustainability and innovation. With a vast manufacturing and distribution network, we deliver high-quality products across multiple industries while recycling over half a billion pounds of plastic annually. At ADS, we foster a culture where diverse perspectives drive better ideas, ensuring every employee feels valued, heard, and empowered to make an impact.


Advanced Drainage Systems (ADS) is seeking an Sr. Data Engineer to design, build, and scale modern data pipelines and AI-ready data platforms that drive operational excellence, manufacturing insights, and advanced analytics across the enterprise.

This role will be a key contributor to ADS’s data modernization initiative, enabling the transition to a cloud-based, scalable architecture that supports AI/ML, IoT data integration, and enterprise reporting. The ideal candidate combines strong data engineering fundamentals with experience preparing data for AI use cases such as predictive maintenance, demand forecasting, and process optimization.

Key Responsibilities

Data Engineering & Platform Development

  • Design and build scalable ELT/ETL pipelines using cloud-native technologies (e.g., Snowflake, Azure, Databricks)
  • Develop and maintain bronze/silver/gold data layers (medallion architecture) for analytics and AI consumption
  • Integrate data from ERP, manufacturing systems, IoT sensors, and third-party platforms into a unified data environment
  • Ensure high data quality, reliability, and performance across pipelines

AI & Advanced Analytics Enablement

  • Engineer datasets optimized for machine learning and AI models
  • Partner with data scientists and analytics teams to support predictive maintenance, demand forecasting, and anomaly detection use cases
  • Implement data pipelines that support real-time or near-real-time analytics where applicable
  • Enable feature engineering and model-ready datasets

Data Integration & Modernization

  • Support migration from legacy platforms (e.g., SQL Server/SSAS) to modern cloud data platforms
  • Build and maintain integrations using tools such as Informatica, APIs, and streaming frameworks
  • Contribute to architecture patterns that enable scalable and reusable data products

Data Governance, Security & Quality

  • Implement and enforce data governance standards, lineage, and metadata management
  • Ensure compliance with data security and privacy policies
  • Monitor and improve data quality and pipeline performance metrics

Collaboration & Business Alignment

  • Partner with business stakeholders (Manufacturing, Supply Chain, Sales) to understand data needs
  • Work closely with analytics engineers, BI developers, and SMEs to deliver trusted data assets
  • Translate business requirements into scalable data solutions

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field
  • 3–7+ years of experience in data engineering or data platform development
  • Strong proficiency in SQL and Python
  • Hands-on experience with cloud data platforms (Snowflake, Azure, or AWS)
  • Experience building ETL/ELT pipelines and data models
  • Familiarity with data warehousing concepts and medallion architecture

Preferred Qualifications

  • Experience supporting AI/ML workflows or data science teams
  • Knowledge of manufacturing, supply chain, or IoT data environments
  • Experience with Informatica, Databricks, or streaming technologies (Kafka/Event Hub)
  • Understanding of data governance frameworks and data quality tools
  • Exposure to Power BI or modern BI tools

Key Competencies

  • Strong problem-solving and analytical thinking
  • Ability to balance speed, quality, and scalability in delivery
  • Excellent communication skills across technical and business audiences
  • Ownership mindset with focus on measurable outcomes and ROI

Why ADS

  • Opportunity to help build a modern, AI-enabled data platform from the ground up
  • Direct impact on manufacturing optimization, product innovation, and customer insights
  • Work with a growing Enterprise Analytics team driving enterprise-wide transformation

Success Metrics (First 12 Months)

  • Delivery of production-ready pipelines supporting key business domains
  • Reduction in data latency and improvement in data quality
  • Enablement of at least 2–3 high-value AI/analytics use cases
  • Contribution to platform modernization milestones

#LI-CH1

#LI-Hybrid


Health & Welfare Benefits: Medical and prescription drug plans, telemedicine (with medical plan), High-Deductible Health Plan (HDHP) and Health Savings Account (HSA), dental and vision plans, virtual physical therapy*, an employee assistance program (EAP)*, and voluntary accident, critical illness, and hospital indemnification programs.

 Financial Benefits: Retirement 401k program with company match, an employee stock purchase plan (voluntary), financial wellness planning*, paid parental leave*, flexible spending accounts (FSA) for child care and health care, short-term and long-term disability*, basic life insurance, accidental death and dismemberment (AD&D)*, adoption financial reimbursement*, tuition reimbursement*, voluntary life insurance (for employees, spouses, and children), and voluntary identity theft and fraud protection.

*100% paid by ADS.


Growth Opportunities & Global Presence: With a global network of approximately 70 manufacturing plants and 40 distribution centers, ADS offers extensive opportunities for career growth and development in various locations around the world.

Inclusive and Creative Work Culture: ADS fosters a culture of passion, innovation, and continuous improvement, empowering employees to shape industry-leading solutions. We value diverse perspectives, recognizing that they drive better ideas, processes, and performance. Our workplace is built on respect, inclusivity, and shared responsibility, ensuring every team member feels valued and contributes to our collective success.

Innovative & Sustainability Focused: Advanced Drainage Systems is one of the largest plastic recyclers in North America, ensuring over half a billion pounds of plastic is kept out of landfills every year.

Learn More: https://www.adspipe.com/about-us


ADS supports an inclusive workplace that values diversity of thought, experience, and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. ADS is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.


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