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Fabric Data Engineer Jobs in Springfield, OH (NOW HIRING)

Data Architect

Dayton, OH ยท On-site

$85K - $167K/yr

Partner with Data Engineers to design scalable lakehouse, warehouse, and data pipeline solutions using Microsoft Fabric, SQL, and Azure technologies. * Work with business stakeholders to understand ...

Data Architect

Dayton, OH ยท On-site

$62 - $79.75/hr

Partner with Data Engineers to design scalable lakehouse, warehouse, and data pipeline solutions using Microsoft Fabric, SQL, and Azure technologies. * Work with business stakeholders to understand ...

Assess and report on data restoration and disaster recovery capabilities; identify gaps and ... FCoE unified fabric, HBA/CNA configurations, storage controllers, LUN provisioning, RAID ...

... report on data restoration and disaster recovery capabilities; identify gaps and recommend ... FCoE unified fabric, HBA/CNA configurations, storage controllers, LUN provisioning, RAID ...

Assess and report on data restoration and disaster recovery capabilities; identify gaps and ... FCoE unified fabric, HBA/CNA configurations, storage controllers, LUN provisioning, RAID ...

... report on data restoration and disaster recovery capabilities; identify gaps and recommend ... FCoE unified fabric, HBA/CNA configurations, storage controllers, LUN provisioning, RAID ...

... report on data restoration and disaster recovery capabilities; identify gaps and recommend ... FCoE unified fabric, HBA/CNA configurations, storage controllers, LUN provisioning, RAID ...

Assess and report on data restoration and disaster recovery capabilities; identify gaps and ... FCoE unified fabric, HBA/CNA configurations, storage controllers, LUN provisioning, RAID ...

... report on data restoration and disaster recovery capabilities; identify gaps and recommend ... FCoE unified fabric, HBA/CNA configurations, storage controllers, LUN provisioning, RAID ...

Assess and report on data restoration and disaster recovery capabilities; identify gaps and ... FCoE unified fabric, HBA/CNA configurations, storage controllers, LUN provisioning, RAID ...

Cloud Storage Engineer

Dayton, OH ยท On-site

$100K/yr

Monitor and report on existing data restore and disaster recovery capabilities for both on-premise ... Fiber Channel zoning, iSCSI, FCoE (Fiber Channel over Ethernet) unified fabric, HBA/CNA (Host Bus ...

Integration Engineering Consultant

London, OH ยท On-site

$98K - $132K/yr

Data Services Integration Engineer Join the Legal Tech Revolution at Litera Are you ready to shape ... Knowledge of MS Fabric, MS Customer Insights * Experience working with 3E API, Aderant API, Intapp ...

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Fabric Data Engineer information

See Springfield, OH salary details

$40.1K

$116.8K

$159.9K

How much do fabric data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for fabric data engineer in Springfield, OH is $116,841.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $123,900.00 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 are popular job titles related to Fabric Data Engineer jobs in Springfield, OH?

For Fabric Data Engineer jobs in Springfield, OH, the most frequently searched job titles are:

What job categories do people searching Fabric Data Engineer jobs in Springfield, OH look for?

The top searched job categories for Fabric Data Engineer jobs in Springfield, OH are:

What cities near Springfield, OH are hiring for Fabric Data Engineer jobs?

Cities near Springfield, OH with the most Fabric Data Engineer job openings:

Infographic showing various Fabric Data Engineer job openings in Springfield, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $116,841 per year, or $56.2 per hour.

Data Architect

Dayton, OH โ€ข On-site

$85K - $167K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Are you seeking purpose, challenge, and talented colleagues? We develop leaders and empower our associates to use their skills and talents to positively impact the world through service – to our coworkers, clients, and communities. We subscribe to the mission of “empowering our people to impact communities by bringing clients’ visions to life,” so if this speaks to you, let’s connect!
 
At CESO, a Data Architect is responsible for designing, implementing, and maintaining the company’s enterprise data architecture. This position develops scalable, secure, and governed data solutions that support reporting, analytics, operational excellence, and AI initiatives. The Data Architect translates business requirements into technical data solutions, establishes architecture standards, and ensures enterprise data is reliable, accessible, and positioned to support future growth.
Primary Responsibilities
  • Develop, implement, and maintain enterprise data architecture standards, frameworks, design patterns, and best practices to ensure consistency, scalability, security, and maintainability across the company's data platforms and solutions.
  • Develop and maintain logical, physical, dimensional, and semantic data models.  Design enterprise database architectures, backend data structures, and scalable schema designs that support business applications, integrations, analytics, and AI initiatives.
  • Design and oversee enterprise data integration solutions, including APIs, ELT/ETL processes, cloud platforms, and reporting environments, ensuring scalable, secure, and reliable data movement
  • Partner with Data Engineers to design scalable lakehouse, warehouse, and data pipeline solutions using Microsoft Fabric, SQL, and Azure technologies.
  • Work with business stakeholders to understand data requirements and translate them into technical designs.
  • Assist in establishing and maintaining enterprise data governance and compliance practices, including data quality, data ownership, stewardship, classification, and retention standards.
  • Provide architectural guidance for databases optimization, indexing strategies, partitioning, and performance tuning to support enterprise-scale workloads
  • Review data solutions for alignment with architecture standards, security requirements, and business objectives while maintaining documentation, data catalogs and lineage information.
  • Design enterprise data platform architectures that support disaster recovery, backup, business continuity, and high availability requirements.
  • Support the development of AI-ready data platforms that enable advanced analytics, machine learning, automation, and future AI initiatives.
  • Provide analytical and problem-solving expertise to evaluate data-related opportunities, and decisions and communication them to relevant parties within the organization.
  • Collaborate effectively with technical and non-technical stakeholders to gather requirements, align priorities, and deliver enterprise data solutions.
  • Perform other duties as assigned.
Position Requirements
  • Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or equivalent experience is required.
    • Master’s degree is preferred.
  • Minimum of 5 years of experience in data architecture, data engineering, database administration, analytics engineering, enterprise data architecture or related disciplines is required.
  • Experience documenting and communicating technical architecture decisions and recommendations is required.
  • Experience supporting cloud modernization, digital transformation, or enterprise data platform initiatives is preferred.
  • Microsoft Fabric, Azure Data Engineer, Azure Data Fundamentals, or related certifications, are preferred.
  • Relevant certifications such as Certified Data Management Professional, Microsoft data certifications, or similar, are preferred.
  • Experience working with Microsoft Fabric, SQL Server, Azure SQL, data warehouses, data lakes, Data Factory or lakehouse architectures is required.
  • Proficiency in SQL and working with relational and analytical data structures is required.
  • Strong understanding of data architecture principles, data modeling, database design, and integration patterns is required.
  • Knowledge of DAMA-DMBOK principles, data governance frameworks, and enterprise data management best practices is required.
  • Understanding of security, access controls, privacy requirements, and compliance considerations related to enterprise data is required.
  • Experience designing data models for operational reporting, business intelligence, and KPI Frameworks and analytics solutions is preferred.
  • Experience supporting AI, machine learning, Copilot, or advanced analytics initiatives is preferred.
Benefits and Perks
  • Flexible and Hybrid Work Schedule
  • Paid Time Off – Credited to You 100% Upfront
  • 401K with a Company Match
  • Rewards and Recognition Program
  • Training and Development to Foster Professional Growth
  • Paid Holidays
  • Medical / Dental / Vision Coverage
  • Welcome Box
  • Casual Dress Code
  • Reimbursement for Professional Licenses
  • Paid Time Off for Community Team Service Events
  • Voluntary or Supplemental Short-Term / Long-Term Disability
  • Employee Assistance Program
  • Company Paid Bonding and Recovery
  • Employee Events such as Lunches and Outings to Foster a Positive Work Environment
CESO Compensation Transparency:
 
The pay band shown reflects the minimum and maximum base salary for this position at CESO. Actual pay is determined by several factors, including location, experience, education, skills, and internal equity. Our pay structures are benchmarked against industry and market data to stay competitive. Each offer is based on a full review of a candidate’s background, qualifications, and fit for the role.
 
Below are the typical new hire pay ranges for this position based on location:

• Akron, OH: $85,897 - $108,803
• Columbus, OH: $90,669 - $114,848
• Dayton, OH: $90,669 - $114,848

CESO is a principle-centered organization that aligns with strong service values, integrity, and authenticity.  We develop and inspire through training and coaching on the job.  At CESO, we believe that work should be more rewarding than just a paycheck.  In addition to a comprehensive benefit and compensation program, we create memories and friendships through our employee and service events.

CESO, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This organization participates in E-Verify and is a drug-free workplace. Criminal background checks and drug/alcohol checks are required.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.