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Fabric Data Engineer Jobs in Ohio (NOW HIRING)

Data Solutions Engineer

Columbus, OH · On-site

$110K - $132K/yr

... Fabric to support data engineering, analytics, and business intelligence solutions. • Use Microsoft Power Platform and Logic Apps to support data integration, automation, and application ...

Data Solutions Engineer

Cleveland, OH

$110K - $133K/yr

... Fabric to support data engineering, analytics, and business intelligence solutions. • Use Microsoft Power Platform and Logic Apps to support data integration, automation, and application ...

Data Solutions Engineer

Cincinnati, OH

$111K - $134K/yr

... Fabric to support data engineering, analytics, and business intelligence solutions. • Use Microsoft Power Platform and Logic Apps to support data integration, automation, and application ...

Job Title Senior Cybersecurity Data Engineer About your role: You will interface with security Big ... Fabric, Datalake, Datawarehouse, and operational data stores including planning, setup ...

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

Write complex T-SQL queries, CTEs, window functions, multi-table joins against Azure SQL and Microsoft Fabric. * Collaborate with data engineers to define data requirements, validate pipeline outputs ...

Senior Data Analyst

Dublin, OH

$81K - $102K/yr

Write complex T-SQL queries, CTEs, window functions, multi-table joins against Azure SQL and Microsoft Fabric. * Collaborate with data engineers to define data requirements, validate pipeline outputs ...

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.

Showing results 41-60

Fabric Data Engineer information

See Ohio salary details

$42.3K

$123.3K

$168.7K

How much do fabric data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for fabric 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 Fabric Data engineer?

Fabric Data Engineers are professionals who specialize in designing, building, and maintaining data solutions using Microsoft Fabric, an end-to-end analytics platform. They work with data integration, transformation, and storage, ensuring data is accessible and reliable for business intelligence and analytics. Their responsibilities often include setting up data pipelines, integrating multiple data sources, and optimizing data flows for performance and security. Fabric Data Engineers collaborate closely with data analysts, data scientists, and other IT teams to provide robust data infrastructure.

How does a Fabric Data engineer typically collaborate with data analysts and business stakeholders?

As a Fabric Data Engineer, you will regularly partner with data analysts and business stakeholders to understand data requirements, design efficient data pipelines, and ensure data is accessible and reliable for reporting and analytics. Collaboration often involves participating in planning meetings, translating business needs into technical data models, and providing support for troubleshooting data issues. Clear communication and a proactive approach are essential, as you'll be bridging technical solutions with business objectives within cross-functional teams.

What are the key skills and qualifications needed to thrive as a Fabric Data engineer, and why are they important?

To thrive as a Fabric Data Engineer, you need strong skills in data modeling, ETL development, and cloud data platforms, typically supported by a degree in computer science or a related field. Proficiency with Microsoft Fabric, Azure Synapse, SQL, Power BI, and data integration tools, as well as relevant certifications, is highly valuable. Excellent problem-solving, collaboration, and communication skills help bridge the gap between technical teams and business stakeholders. These competencies are crucial for designing efficient data solutions, ensuring reliable analytics, and supporting organizational decision-making.

What is the difference between Fabric Data Engineer vs Fabric Data Analyst?

AspectFabric Data EngineerFabric Data Analyst
CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Data Analysis, or related; proficiency in data visualization tools
Work EnvironmentBuilds and maintains data infrastructure in cloud or on-premise environmentsAnalyzes data, creates reports, and visualizations for business insights
Employer & Industry UsageUsed in tech, finance, and enterprise sectors for data engineering rolesCommon in marketing, finance, and business intelligence teams

Fabric Data Engineers focus on designing and maintaining data pipelines and infrastructure, ensuring data availability and quality. Fabric Data Analysts interpret this data, creating reports and visualizations to support decision-making. Both roles often collaborate but serve different functions within data teams.

What cities in Ohio are hiring for Fabric Data Engineer jobs?

Cities in Ohio with the most Fabric Data Engineer job openings:

Infographic showing various Fabric Data Engineer job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $123,321 per year, or $59.3 per hour.

Data Solutions Engineer

BakerHostetler

Columbus, OH • On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 3 days ago


Job description

Join our team as a Data Solutions Engineer, where you will play a key role in designing and developing enterprise data solutions. This role works across the data lifecycle, including data analysis, data modeling, data architecture, data engineering, and data integration.


You will work closely with cross-functional teams to understand data needs and develop practical, scalable data solutions. Your work will support and enhance our enterprise data strategy, including master data management, by centralizing transformations and creating consistent, trusted data across the organization.


RESPONSIBILITIES:
• Develop and implement data processing workflows and pipelines to support solutions development and business intelligence needs.
• Design and develop scalable and effective data solutions to support the flow and integration of data across systems.
• Use big data technologies like Azure Data Lake, Synapse Analytics, and Data Factory to handle and analyze large volumes of data.
• Develop and maintain data storage solutions, including Azure SQL Database, PostgreSQL, Azure Data Lake, and Azure Blob Storage.
• Support the Enterprise Data Model by managing the medallion architecture layers in the data lake.
• Support master data management, data modeling, and architecture by centralizing transformations and business rules to create consistent, trusted enterprise data.
• Implement data validation and cleansing procedures to ensure the highest level of data quality and integrity.
• Use Microsoft Fabric to support data engineering, analytics, and business intelligence solutions.
• Use Microsoft Power Platform and Logic Apps to support data integration, automation, and application development needs.


REQUIRED TECHNICAL SKILLS:
Proficiency in the following tools, technologies, and data concepts:
• Azure Data Factory, Azure SQL Database, PostgreSQL, Azure Blob Storage, Azure Data Lake Storage
• Azure Synapse Analytics, 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 content into usable data.
• Data analysis, data modeling, data architecture, and master data management
• Medallion architecture design patterns using Delta Lake (bronze, silver, gold layers)
• Microsoft Fabric, including Lakehouse, Data Engineering, and Real-Time Analytics
• Microsoft Power Platform (Power Apps, Power Automate, Power BI) for low-code data integration and automation
• Version control and CI/CD practices for data workflows using Azure DevOps and Git

REQUIRED EDUCATION AND EXPERIENCE:
1. Bachelor’s degree in Computer Science, Information Technology, or a related field.
2. 5 years of hands-on experience developing data and software solutions.


REQUIRED INTERPERSONAL AND COMMUNICATION SKILLS:
1. Maintain effective relationships with clients and internal customers (Attorneys, Litigation Support, IP Services, and other support staff).
2. Ability to lead and build consensus among peers and staff.
3. Understanding and ability to follow project management methodologies.
4. Accurately manage and report time worked on projects.
5. Ability to prioritize and manage tasks effectively.
6. Ability to work in a fast-paced, flexible environment.
7. Ability to effectively communicate technical concepts with an audience.
8. Must be able to perform essential duties of the position with time constraints, interruptions, and under stress.


OTHER DESIRED TRAITS:
1. Demonstrates attention to detail with a professional, efficient, and business-like manner. Proactive and showing initiative, flexible, and willing to take on new and challenging tasks.


TRAVEL REQUIREMENT:
Minimal

How to Apply:

Interested individuals should apply directly via our job posting.

About Us:

BakerHostetler is recognized as one of the leading law firms in the country. With more than 1,000 attorneys located in 18 offices from coast to coast, BakerHostetler is a great place to work for those who seek professional and personal growth in a collaborative environment. We deliver the highest quality counsel to our clients, who include many of the nation’s largest and most well-known companies. BakerHostetler’s values have remained unchanged since our founding more than 100 years ago: dedication to the law, commitment to the highest standard of client service, continuous development of our people and active participation in the communities in which we work and live.

BakerHostetler offers a comprehensive and competitive benefit program.  Specific information is provided during the interview process.

  • Competitive Salaries
  • Performance Bonus Program
  • Generous Time Off
  • Generous Retirement Program including 401(k) Plan
  • Group Health, Dental and Vision Insurance
  • BHealthy Wellness Program
  • Life Insurance
  • Voluntary Accident Insurance – Self and Family
  • Short and Long-Term Disability
  • Pre-Tax Benefit Programs

Please visit www.bakerlaw.com for more information about our Firm.

Baker & Hostetler LLP is an Equal Opportunity Employer.

The expected annual salary for this position ranges from the below. The salary offered will be determined by a wide range of factors including but not limited to experience level, education/training, and relevant skills.

Ohio, Georgia, Texas, Florida, Colorado - $120,000-155,000/year

California, Pennsylvania, Illinois, Washington D.C., Washington- $130,000-165,000/year

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