Senior Data Engineer

TL;DR

Senior Data Engineer: Designing, developing, and maintaining scalable data infrastructure solutions with an accent on efficient and reliable data flow across systems. Focus on optimizing data processing and query performance for large-scale datasets within Databricks and cloud environments.

Location: Remote

Salary: $146,400 to 175,100 USD/annually

Company

hirify.global is a technology solutions firm headquartered in Bellevue, Washington, that helps organizations unlock value from existing assets by leveraging cutting-edge technology.

What you will do

• Architect, implement, and maintain scalable data architectures to meet client data processing and analytics needs.
• Develop, optimize, and maintain ETL processes to ensure the timely and accurate movement of data across systems.
• Leverage cloud platforms (Azure and/or AWS) to build and optimize data solutions.
• 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.

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.
• Proficiency in using orchestration tools like Azure Data Factory or Apache Airflow.

Culture & Benefits

• Medical, dental, and vision coverage.
• Flexible Spending Account.
• 401k program.
• Competitive PTO offerings.
• Parental Leave.
• Opportunities for professional growth and development.