Senior Data Engineer

Blueprint is a technology solutions firm headquartered in Bellevue, Washington, focused on solving complex problems for organizations. They are seeking a Senior Data Engineer to design, develop, and maintain scalable data infrastructure solutions while ensuring efficient data flow across systems.

Responsibilities:

• Architect, implement, and maintain scalable data architectures to meet client data processing and analytics needs
• Collaborate with cross-functional teams to understand data requirements and translate them into effective data pipeline solutions
• Develop, optimize, and maintain ETL processes to ensure the timely and accurate movement of data across systems
• Implement best practices for data pipeline orchestration and automation using tools like Azure Data Factory or Apache Airflow
• Leverage cloud platforms (Azure and/or AWS) to build and optimize data solutions, including services like Azure Synapse Analytics, Azure Blob Storage, AWS Redshift, S3, or Glue
• Utilize Databricks for big data processing, analytics, and machine learning workflows
• Lead Unity Catalog migration efforts, ensuring seamless transition and optimal data organization for governance and access control
• Establish and enforce data governance policies and procedures, ensuring data quality, integrity, and accuracy
• Optimize data processing and query performance for large-scale datasets within Databricks and cloud environments
• Document data engineering processes, architecture, and configurations for future scalability
• Collaborate with data scientists, analysts, and other stakeholders to provide the necessary infrastructure for their needs

Requirements:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
• Minimum of 5 years of experience in data engineering roles
• Proven expertise in Databricks, including Unity Catalog migration for data governance and organization
• Proficiency in Azure (e.g., Azure Blob Storage, Azure Synapse Analytics, Azure Functions) and/or AWS (e.g., S3, Redshift, Glue, EMR, Lambda)
• Strong programming skills in languages such as Python, Scala, or Java
• Experience with data modeling, schema design, and database optimization
• Proficiency in using orchestration tools like Azure Data Factory or Apache Airflow
• Familiarity with version control systems and collaboration tools
• Strong troubleshooting skills and the ability to implement effective solutions for complex data issues
• Strong communication and interpersonal skills, with the ability to work collaboratively in a team-oriented environment
• Proactive in staying updated with industry trends and emerging technologies in data engineering