Senior Microsoft Azure Data Engineer

TITLE: Senior Microsoft Azure Data Engineer
LOCATION: Atlanta, GA (hybrid)
ANTICIPATED DURATION: Perm Position (no sponsorship)

Senior Microsoft Azure Data Engineer Responsibilities:

• Design and develop scalable data solutions using Azure Data Services, including Azure Data Factory, Azure SQL Database, and Azure Data Lake Storage.
• Implement data integration and ETL processes to ingest, transform, and store data from various sources.
• Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver effective data solutions.
• Optimize data storage and retrieval, ensuring high performance and cost-efficiency.
• Monitor and maintain data pipelines, addressing any issues or bottlenecks promptly.
• Ensure data security and compliance with industry standards and best practices.
• Provide technical guidance and mentorship to junior data engineers.
• Stay updated with the latest advancements in Azure data technologies and recommend improvements to existing systems.
• Create and maintain data transformation pipelines using Azure.
• Perform source data profiling and analysis.
• Design, develop, and test data mapping from source to target with transformation rules.
• Define and enforce processes and procedures to ensure data quality and reliability.
• Develop and maintain documentation for data integration and ETL solutions.
• Design and develop complex data modeling, data tagging, transformations, and automated data quality validation routines.
• Participate in agile ceremonies, including code reviews, technical reviews, and project planning.
• Support business stakeholders in requirements gathering, scoping, and testing.
• Provide on-call support for production systems, including incident management, code corrections, upgrades, and patches.

Senior Microsoft Azure Data Engineer Requirements:

• Bachelor s or Master s degree in Computer Science, Information Technology, or a related field.
• Minimum of 8 years of experience as a Data Engineer, with a strong focus on Microsoft Azure.
• Expertise in Azure Data Services (Azure Data Factory, Azure SQL Database, Azure Data Lake Storage).
• Strong experience with data integration, ETL processes, and data warehousing.
• Proficiency in SQL, Python, and PowerShell.
• Knowledge of data modeling, data governance, and security best practices.
• Hands-on experience building and supporting high-performance data ingestion pipelines.
• Experience working with clinical data standards like HL7 (preferred).
• Familiarity with integration connectors (APIs, File, SFTP/FTPS, Streaming Data, DB Connectors, SOAP, REST).
• Strong problem-solving skills and the ability to work independently and collaboratively.
• Demonstrated experience securing communications between endpoints.
• Understanding of Agile SDLC methodologies and tools.
• Excellent communication and collaboration skills.

Senior Microsoft Azure Data Engineer Preferred Experience:

• Microsoft SQL Server in Azure.
• Expert integration experience (MuleSoft experience is a plus).
• TOGAF Certification.
• Microsoft Azure certifications (e.g., Microsoft Certified: Azure Data Engineer Expert).

Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to the San Francisco Fair Chance Ordinance, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

For immediate consideration, please forward your resume to .

If you require assistance or an accommodation in the application or employment process, please contact us at

About Synergis:
Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation while enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital, and creative professionals. Learn more about Synergis at .

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

TITLE: Senior Microsoft Azure Data Engineer
LOCATION: Atlanta, GA (hybrid)
ANTICIPATED DURATION: Perm Position (no sponsorship)

Senior Microsoft Azure Data Engineer Responsibilities:

• Design and develop scalable data solutions using Azure Data Services, including Azure Data Factory, Azure SQL Database, and Azure Data Lake Storage.
• Implement data integration and ETL processes to ingest, transform, and store data from various sources.
• Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver effective data solutions.
• Optimize data storage and retrieval, ensuring high performance and cost-efficiency.
• Monitor and maintain data pipelines, addressing any issues or bottlenecks promptly.
• Ensure data security and compliance with industry standards and best practices.
• Provide technical guidance and mentorship to junior data engineers.
• Stay updated with the latest advancements in Azure data technologies and recommend improvements to existing systems.
• Create and maintain data transformation pipelines using Azure.
• Perform source data profiling and analysis.
• Design, develop, and test data mapping from source to target with transformation rules.
• Define and enforce processes and procedures to ensure data quality and reliability.
• Develop and maintain documentation for data integration and ETL solutions.
• Design and develop complex data modeling, data tagging, transformations, and automated data quality validation routines.
• Participate in agile ceremonies, including code reviews, technical reviews, and project planning.
• Support business stakeholders in requirements gathering, scoping, and testing.
• Provide on-call support for production systems, including incident management, code corrections, upgrades, and patches.

Senior Microsoft Azure Data Engineer Requirements:

• Bachelor s or Master s degree in Computer Science, Information Technology, or a related field.
• Minimum of 8 years of experience as a Data Engineer, with a strong focus on Microsoft Azure.
• Expertise in Azure Data Services (Azure Data Factory, Azure SQL Database, Azure Data Lake Storage).
• Strong experience with data integration, ETL processes, and data warehousing.
• Proficiency in SQL, Python, and PowerShell.
• Knowledge of data modeling, data governance, and security best practices.
• Hands-on experience building and supporting high-performance data ingestion pipelines.
• Experience working with clinical data standards like HL7 (preferred).
• Familiarity with integration connectors (APIs, File, SFTP/FTPS, Streaming Data, DB Connectors, SOAP, REST).
• Strong problem-solving skills and the ability to work independently and collaboratively.
• Demonstrated experience securing communications between endpoints.
• Understanding of Agile SDLC methodologies and tools.
• Excellent communication and collaboration skills.

Senior Microsoft Azure Data Engineer Preferred Experience:

• Microsoft SQL Server in Azure.
• Expert integration experience (MuleSoft experience is a plus).
• TOGAF Certification.
• Microsoft Azure certifications (e.g., Microsoft Certified: Azure Data Engineer Expert).

Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to the San Francisco Fair Chance Ordinance, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

For immediate consideration, please forward your resume to .

If you require assistance or an accommodation in the application or employment process, please contact us at

About Synergis:
Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation while enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital, and creative professionals. Learn more about Synergis at .

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.