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Microsoft Azure Data Engineer Jobs in Ohio (NOW HIRING)

Senior Data Engineer

Cincinnati, OH · On-site

$103K - $140K/yr

... tools, (dbt, Azure Data Factory, SSIS); • Design, develop, enhance and support business ... Microsoft Power BI; • Collect, analyze and document user requirements; • Participate in ...

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 ...

... tools, (dbt, Azure Data Factory, SSIS); • Design, develop, enhance and support business ... Microsoft Power BI; • Collect, analyze and document user requirements; • Participate in ...

Data & ML Engineer

Mason, OH

$107K - $129K/yr

... Azure, with exposure to multi-cloud environments (AWS, GCP) where applicable. Expertise in programming languages such as Python or Scala, experience with data processing frameworks like Spark, and ...

Support cloud-based data environments and services in AWS and Azure. * Assist with the ... Collaborate with data engineers, developers, analysts, and other stakeholders to deliver high ...

Data Engineer

Beavercreek, OH · On-site

$53K - $88K/yr

Support cloud-based data environments and services in AWS and Azure. * Assist with the ... Collaborate with data engineers, developers, analysts, and other stakeholders to deliver high ...

Data & ML Engineer

Mason, OH

$107K - $129K/yr

... Azure, with exposure to multi-cloud environments (AWS, GCP) where applicable. Expertise in programming languages such as Python or Scala, experience with data processing frameworks like Spark, and ...

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

... Azure, with exposure to multi-cloud environments (AWS, GCP) where applicable. Expertise in programming languages such as Python or Scala, experience with data processing frameworks like Spark, and ...

Data Engineer

Mason, OH · On-site

$52 - $57/hr

Data Engineering Tech Lead (7-10+ Years Experience) Role Overview. * We are seeking an experienced ... Work with modern tools such as Airflow, AWS Glue, Azure Data Factory, PySpark, or equivalent ...

Showing results 41-60

Microsoft Azure Data Engineer information

See Ohio salary details

$42.3K

$123.3K

$168.7K

How much do microsoft azure data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for microsoft azure 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 are the key skills and qualifications needed to thrive in the Microsoft Azure Data Engineer position, and why are they important?

To excel as a Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, SQL, and cloud data services, usually validated by a computer science degree or similar field. Familiarity with Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving abilities, attention to detail, and excellent communication skills help in collaborating with both technical and non-technical teams. These capabilities ensure efficient, secure, and scalable data solutions that meet business needs in dynamic enterprise environments.

What is a Microsoft Azure Data Engineer?

A Microsoft Azure Data Engineer is responsible for designing, implementing, and managing data solutions on the Azure cloud platform. They work with structured and unstructured data, building data pipelines, optimizing storage, and ensuring efficient data processing. Their role includes using Azure services like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to support business intelligence and analytics. They also ensure data security, compliance, and performance optimization.

What are the typical daily responsibilities of a Microsoft Azure Data Engineer?

A Microsoft Azure Data Engineer usually spends their day designing, implementing, and maintaining data pipelines using Azure services to ensure the reliable flow and transformation of data. They collaborate closely with data scientists, analysts, and business stakeholders to understand requirements and deliver scalable solutions. Regular tasks might include optimizing database performance, troubleshooting data integration issues, writing code for data ingestion, and maintaining data security and compliance within the cloud environment. This multifaceted work environment offers varied challenges and opportunities for continuous learning and professional development.

Is a Microsoft Azure Data Engineer in demand?

Microsoft Azure Data Engineers are in high demand due to the increasing adoption of cloud data solutions and the need for expertise in data integration, storage, and processing using tools like Azure Data Factory and Azure Synapse. Organizations seek professionals with skills in cloud platforms, data modeling, and certifications such as Azure Data Engineer Associate to support their data infrastructure needs.

What are the most commonly searched types of Microsoft Azure Data Engineer jobs in Ohio?

The most popular types of Microsoft Azure Data Engineer jobs in Ohio are:

What job categories do people searching Microsoft Azure Data Engineer jobs in Ohio look for?

The top searched job categories for Microsoft Azure Data Engineer jobs in Ohio are:

Infographic showing various Microsoft Azure Data Engineer job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $123,321 per year, or $59.3 per hour.

Sr Data Solutions Architect

Troyohiochamber

New Bremen, OH • On-site

$120 - $160/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Primary Responsibilities
  • Design data models and structures that support efficient reporting, dashboards, and analytics use cases.
  • Create semantic layers and data marts optimized for business intelligence consumption.
  • Architect solutions that enable self-service analytics while maintaining governance and security.
  • Design infrastructure to support advanced analytics, machine learning, and AI initiatives.
  • Implement metadata management and data cataloging solutions to improve data discoverability.
  • Design and architect end-to-end data solutions including data ingestion, storage, processing, integration, and consumption layers.
  • Develop comprehensive data architecture blueprints and technical roadmaps aligned with business strategy and analytics requirements.
  • Create reference architectures for data platforms supporting analytics, reporting, and operational use cases.
  • Design solutions that ensure data quality, security, privacy, compliance, and governance across enterprise.
  • Architect data integration solutions across SAP, IFS, BAAN, Quipware and other enterprise applications to create unified data assets.
  • Design and implement data extraction, transformation, and loading (ETL/ELT) processes from multiple ERP sources.
  • Develop master data management strategies to ensure data consistency across disparate systems.
  • Create integration patterns for real-time and batch data synchronization between source systems and data platforms.
  • Ensure seamless data flow across manufacturing, supply chain, finance, sales, and customer service domains.
  • Address data quality, reconciliation, and harmonization challenges across heterogeneous systems.
  • Define and implement data governance frameworks including data lineage, metadata management, and data quality rules.
  • Ensure solutions comply with regulatory requirements and industry standards (GDPR, SOX, etc.).
  • Design security architecture including role-based access control, data masking, and audit logging.
  • Establish data retention, archival, and lifecycle management policies.
Minimum Qualifications
  • Bachelor’s Degree in Engineering, Science, Information Systems, Finance or related field with at least 10 years related experience in delivering analytics solution in a manufacturing/services industry
    • Non-degree considered if 12+ years of related experience along with a high school diploma or GED
  • Occasional travel (0-5%)
Preferred Qualifications
  • 8+ years of experience in data architecture, data engineering, or related roles with increasing responsibility.
  • 5+ years of hands‑on experience designing and implementing enterprise data solutions.
  • Extensive experience with ERP systems, particularly SAP (SAP ECC, S/4HANA) and/or IFS.
  • Proven track record architecting cloud-based data platforms, preferably on Microsoft Azure.
  • Experience in manufacturing, supply chain, or industrial environments
  • Demonstrate success delivering large-scale data integration and migration projects.
  • Experience with additional cloud platforms (AWS, Google Cloud Platform).
  • Certifications such as Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, or similar.
  • Knowledge of SAP BW/4HANA, SAP Data Services, or SAP Data Intelligence. Experience with IoT data platforms and manufacturing operational technology (OT) systems. Understanding of Industry 4.0, IIoT, and smart manufacturing concepts.

Must live within a reasonable commute of the New Bremen, OH location. Relocation assistance provided.

Compensation and Benefits

Crown offers an excellent wage and benefits package for full-time employees including Health/Dental/Vision/Prescription Drug Plan, Flexible Benefits Plan, 401K Retirement Savings Plan, Life and Disability Benefits, Paid Parental Leave, Paid Holidays, Paid Vacation, Tuition Reimbursement, and much more.

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