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Junior Azure Data Factory Developer Jobs in Ohio

The role is centered on Azure Data Factory, Azure Logic Apps, and Databricks as well as other ... Mentor junior team members and help drive engineering maturity, documentation quality, and ...

Senior Azure Data & Platform Engineer

OH · On-site +1

$53 - $69/hr

The role is centered on Azure Data Factory, Azure Logic Apps, and Databricks as well as other ... Mentor junior team members and help drive engineering maturity, documentation quality, and ...

Azure Data Engineer

Cincinnati, OH · On-site

$52.75 - $65.50/hr

Required skills - Azure SQL DB, Azure Data Factory, Synapse Analytics, Power BI,Azure Data Lake, PySpark, SparkSQL Python Minimum 6-8 years of relevant experience working as Azure analytics ...

Data Engineer

Columbus, OH · On-site

$107K - $128.50K/yr

Azure Databricks, Azure Data Factory, Azure Data Lake storage, Azure DevOps, Azure Functions Experience with designing and building end-to-end pipelines Experience in Azure DevOps CI/CD Stories, Bugs ...

Data Engineer

Findlay, OH · On-site

$107.50K - $129.10K/yr

Azure Developer / Data Engineer The Data & Analytics team seeks to add an Azure Developer / Data ... Must have strong SQL skills, Azure Data Factory, and Azure Synapse. This person will be creating ...

PPL-Advanced Data Engineer - DevOps

Cincinnati, OH · On-site

$50.75 - $69.50/hr

... Factory, Azure Functions, and other Azure data services • Expert in SQL, Python, Spark ... DevOps process and understanding of Terraform scripting • Understanding the benefits of data ...

OH · On-site

$51 - $69.75/hr

Develop and maintain automation for CosmosDB, Azure Data Factory, and other Azure services ... DevOps processes.

Data Engineer

Cincinnati, OH · On-site

$109.90K - $132K/yr

Advance Data Engineer We are seeking a highly skilled Advanced Data Engineer with a strong ... Implement data integration solutions using Azure Data Factory and manage data storage in Azure ...

Azure DevOps Engineer

Columbus, OH · On-site

$65 - $70/hr

Develop and maintain automation for CosmosDB, Azure Data Factory, and other Azure services ... Ensure security, compliance, and best practices are followed in all DevOps processes.

... Azure Data Factory, SSIS); • Design, develop, enhance and support business intelligence systems primarily using Microsoft Power BI; • Collect, analyze and document user requirements; • ...

Design, develop, and maintain data integration solutions using SQL Server, SSIS, Azure Data Factory ... Familiarity with programming languages such as Python, Java, or .NET * Experience with cloud data ...

Design, develop, and maintain data integration solutions using SQL Server, SSIS, Azure Data Factory ... Familiarity with programming languages such as Python, Java, or .NET * Experience with cloud data ...

Data Engineer

Columbus, OH · On-site

$107K - $128.50K/yr

Hands on experience with Azure data factory V2, Azure Databricks, SQLDW or Snowflake, Azure ... Senior Data Engineering Skills with Snowflake, Azure Data Factory, prefer DB2 Must have excellent ...

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Junior Azure Data Factory Developer information

What are the key skills and qualifications needed to thrive as a Junior Azure Data Factory Developer, and why are they important?

To thrive as a Junior Azure Data Factory Developer, you need a solid understanding of data integration concepts, ETL processes, and a background in computer science or a related field. Familiarity with Microsoft Azure, especially Azure Data Factory, as well as proficiency in SQL, and knowledge of data storage solutions are typically required, with Azure certifications (like Azure Data Engineer Associate) being advantageous. Strong problem-solving skills, attention to detail, and effective communication help you collaborate within teams and resolve data-related challenges efficiently. These skills and qualifications are crucial for building robust data pipelines, ensuring data quality, and supporting analytics initiatives in cloud-based environments.

What are some common challenges faced by a Junior Azure Data Factory Developer, and how can they be addressed?

Junior Azure Data Factory Developers often encounter challenges such as troubleshooting complex data pipelines, managing data integration from diverse sources, and optimizing performance for large-scale data processing. To address these, it's important to become familiar with Azure's monitoring and debugging tools, maintain clear documentation, and collaborate closely with data engineers and business analysts. Seeking mentorship from senior developers and participating in regular code reviews can also help accelerate learning and build confidence in managing production workloads.

What does a Junior Azure Data Factory Developer do?

A Junior Azure Data Factory Developer assists in designing, developing, and maintaining data integration solutions using Azure Data Factory (ADF). Their primary role is to build and manage data pipelines that extract, transform, and load (ETL) data from various sources into cloud-based data warehouses or storage solutions. They work closely with senior developers and data engineers to automate data workflows, troubleshoot issues, and ensure data is processed efficiently and securely. Additionally, they may write basic code, monitor pipeline performance, and help document processes as part of a larger data team.

What is the difference between Junior Azure Data Factory Developer vs Data Engineer?

AspectJunior Azure Data Factory DeveloperData Engineer
Required CredentialsBasic knowledge of Azure, certifications like Azure Data Engineer Associate helpfulBroader certifications like Azure Data Engineer, AWS, or GCP certifications often preferred
Work EnvironmentFocus on designing and developing data pipelines using Azure Data Factory in cloud environmentsDesigning, building, and maintaining scalable data systems across various platforms and tools
Employer & Industry UsageCommon in companies adopting Azure cloud solutions, especially in data-driven rolesWidespread across industries for managing large-scale data infrastructure

The Junior Azure Data Factory Developer primarily focuses on creating data pipelines within Azure using Data Factory, often as an entry-level role. In contrast, a Data Engineer has a broader scope, working with multiple tools and platforms to build comprehensive data systems. While both roles require knowledge of cloud data solutions, Data Engineers typically possess more advanced certifications and experience, handling complex data architecture tasks across various environments.

What are popular job titles related to Junior Azure Data Factory Developer jobs in Ohio? For Junior Azure Data Factory Developer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Junior Azure Data Factory Developer jobs in Ohio look for? The top searched job categories for Junior Azure Data Factory Developer jobs in Ohio are:
Senior Azure Data & Platform Engineer

Senior Azure Data & Platform Engineer

Hexion, Inc.

$53 - $69/hr

Other

Posted 29 days ago


Job description

Company Overview
 

Grounded by a history that is deeply rooted in innovation, Hexion is a global employer committed to building and protecting the future by producing innovative performance materials.  Our materials are the building blocks for critical industries, including construction, agriculture, energy, automotive, and infrastructure protection. Everywhere you look, you will find our materials and people at work to help customers make products that are stronger, safer, and cleaner. When you work for Hexion, you'll join a team that is committed to operating safely and with integrity to build a more sustainable future for all, our associates, our customers, and the communities where we live and work.  

Position Overview
 

Hexion is seeking a senior, hands-on Azure data engineer to lead the design, implementation, and production support of enterprise data integrations. The role is centered on Azure Data Factory, Azure Logic Apps, and Databricks as well as other adjacent Azure data services to deliver governed, reliable, and maintainable pipelines. You will work closely with architecture, security, and infrastructure teams to apply the right guardrails to enable Hexion's business objectives. 

Job Responsibilities
 

Azure Data Engineering & Integration 

  • Lead the design, development, and implementation of Azure Data Factory pipelines, Azure Logic Apps workflows and related Azure data solutions to meet business requirements. 
  • Collaborate with business, architecture, and technical teams to translate data requirements into Azure integration deliverables. 
  • Develop and enforce best practices for data pipeline development, ETL processes, data quality, governance, and documentation. 
  • Optimize, monitor, and troubleshoot existing pipelines to improve performance, reliability, and maintainability. 
  • Support integrations across Azure services such as Azure SQL Database, Azure Data Lake Storage, Azure Databricks, and Power BI. 

Data Platform Enablement (Azure) 

  • Coordinate with platform teams to onboard data workloads into approved Azure environments (subscriptions/resource groups), ensuring required standards (naming, tagging, logging) are met. 
  • Define repeatable environment and deployment patterns for data products (dev/test/prod), including configuration, secrets, and release boundaries for internal teams and vendors. 
  • Ensure prerequisite platform capabilities are available for data delivery (e.g., access to ADLS, Azure SQL, Databricks workspaces), partnering with owners to provision when needed. 
  • Apply governance guardrails for data workloads (policies/controls, logging, and cost visibility) and validate that deployments remain compliant over time. 
  • Monitor and optimize the cost/performance of data services (e.g., ADF, Databricks, storage) using tagging/chargeback practices, budget alerts, and right-sizing recommendations. 

Secure Data Access, Identity & Governance 

  • Define least-privilege access patterns for data services (ADF, ADLS, Azure SQL, Databricks) using Entra ID, managed identities, service principals, and RBAC-then work with administering teams to implement required changes. 
  • Implement secure secret handling (Key Vault), encryption, and credential rotation approaches for pipelines and integrations. 
  • Partner with network teams to meet private connectivity requirements (private endpoints, routing, firewall rules) for data sources and targets. 
  • Ensure data integrations are production-ready and auditable (logging, lineage/documentation where applicable) and aligned to enterprise security and governance requirements. 

Infrastructure Automation & Operations 

  • Implement Infrastructure-as-Code using Terraform and/or Bicep. 
  • Create and support CI/CD integration for both infrastructure and application or data deployments. 
  • Set up monitoring, logging, alerting, and basic break-fix support using Azure-native tools. 
  • Support disaster recovery planning and operational readiness for Azure resources and data services. 

Vendor Enablement & Delivery Leadership 

  • Support vendor onboarding into Azure environments, including access, permissions, deployment boundaries, and operational guardrails. 
  • Ensure external and internal teams can deploy and operate safely without impacting core enterprise workloads. 
  • Work closely with Hexion leads, architects, and vendors to unblock delivery and accelerate execution. 
  • Mentor junior team members and help drive engineering maturity, documentation quality, and continuous improvement across the environment. 
Minimum Qualifications
 
  • Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. 
  • 7+ years of experience in data engineering, data integration, and production support (cloud and/or hybrid environments). 
  • Strong hands-on expertise with Azure data services and integration patterns (ADF, ADLS, Azure SQL, Databricks, Logic Apps). 
  • Proven experience designing and implementing Azure Data Factory pipelines and broader Azure data integration solutions. 
  • Strong understanding of ETL, data integration, data warehousing, and production support practices. 
  • Ability to partner with cloud platform, security, and networking teams to meet requirements for connectivity, identity, and controls needed by data workloads. 
  • Working knowledge of Entra ID and Azure IAM concepts (RBAC, managed identities, service principals) as they apply to securing data pipelines and services. 
  • Proficiency in SQL, Python, and PySpark. 
  • Strong troubleshooting, communication, and collaboration skills, with the ability to operate effectively in fast-moving environments. 

Required Technologies: 

  • Azure Data & Integration: Azure Data Factory (ADF), Logic Apps, Databricks, ADLS Gen2, Azure SQL, Power BI  
  • Languages: SQL, Python, PySpark  
  • Security/Governance: Entra ID, RBAC, Managed Identity, Key Vault  
  • DevOps/Operations (as applicable): CI/CD, Azure DevOps/GitHub Actions, monitoring/logging, Terraform/Bicep 
Preferred Qualifications
  • Experience with Azure SQL Database, ADLS, Databricks, and Power BI. 
  • Experience with Infrastructure-as-Code (Terraform and/or Bicep) and automating deployments for data platforms. 
  • Exposure to AI/ML, agentic AI, or automation-heavy Azure workloads. 
  • Experience supporting secure multi-vendor Azure environments. 
  • Familiarity with Azure monitoring, logging, and disaster recovery patterns. 
  • Experience implementing or operationalizing controls aligned to ISO/IEC 27018 (protection of personally identifiable information in public clouds) is a plus. 
  • Familiarity with SAP platforms (ECC R/3, S/4HANA, BW, and Datasphere), especially in the context of integrating SAP data into Azure. 
  • Azure certifications such as Azure Solutions Architect Expert. 
  • Databricks certifications such as Data Engineer Associate or Professional 
  • Databricks accreditations such as Databricks Fundamentals, Azure Platform Architect, or Platform Administrator. 
  • AWS experience is a plus. 
Success Measures
 
  • Azure data pipelines are designed and operating reliably in production. 
  • Delivery teams and vendors can release infrastructure builds safely using clear patterns for configuration, access, and deployment. 
  • Stakeholders receive timely, trustworthy data through integrations that meet agreed SLAs and operational expectations. 
  • Data quality, monitoring, and alerting are in place so issues are detected early and resolved quickly with clear ownership and runbooks. 
  • Documentation, repeatability, and delivery maturity improve over time, reducing friction between architecture, platform teams, and delivery teams. 
Other
 

We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law.

To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age.  Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.