Cloud Data Engineer

Overview:

The Virginia Department of Education (VDOE) is seeking an experienced Cloud Data Engineer to support a large-scale modernization initiative focused on enhancing software development and delivery processes. We are looking for professionals with strong cloud data engineering experience-whether in Azure, AWS, or both-who are comfortable operating in a mixed-cloud setting. Candidates with deep expertise in one platform and exposure to the other are encouraged to apply.

Responsibilities:

• Design, implement, and maintain scalable data pipelines and cloud-native data solutions in a cloud environment (Azure and/or AWS).
• Collaborate with cross-functional teams including developers, data analysts, and architects to ensure efficient data flow and access across platforms.
• Build and manage cloud-based data ingestion, transformation, and storage processes using services such as Azure Data Factory, Azure Synapse Analytics, AWS Glue, AWS Lambda, and Amazon S3.
• Support data integration between Oracle databases and cloud-based services across Azure and AWS.
• Support the migration of on-premise data systems to cloud infrastructure, ensuring data integrity and continuity.
• Ensure data quality, governance, and security best practices are followed throughout the development lifecycle.
• Provide troubleshooting and support for data-related issues in cloud environments.
• Document architecture, workflows, and system interactions to support collaboration and knowledge sharing.
• Oracle SQL and PL/SQL development on our current Oracle implementation.

Required Skills and Qualifications:

• 5+ years of experience in data engineering, cloud engineering, or a similar role.
• Hands-on experience with Microsoft Azure , including but not limited to Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, and Azure Blob Storage, or equivalent in AWS including AWS Glue, RedShift, S3, Lambda, RDS
• Strong expertise in Oracle databases (Oracle SQL, PL/SQL), with experience managing data extraction and transformation processes.
• Solid understanding of ETL/ELT pipelines and modern data architecture principles.
• Experience with data modeling, performance tuning, and data security best practices.
• Proficient in scripting and programming languages such as Python or PowerShell a plus.
• Familiarity with DevOps practices and tools in a cloud environment is a plus.
• Experience with Microsoft Fabric and associated tools a plus.
• Strong interpersonal, communication, and documentation skills.

Preferred Qualifications:

• Microsoft Certified: Azure Enterprise Data Analyst Associate (DP-700) or similar Azure data certifications.
• AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect - Associate/Professional is highly desirable.
• Experience working within state or federal government agencies

Required Skills : Azure: Azure Data Factory, Azure SQL, Azure Synapse Oracle (pl/SQL) ETL: SQL and pl/SQL Power BI

Basic Qualification :

Additional Skills :


Background Check : Yes


Drug Screen : No


Notes :
Selling points for candidate :
Project Verification Info :
Exclusive to Apex :No
Face to face interview required :Yes
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set :Yes
Type of project :
Master Job Title :
Branch Code :