Databricks / Azure Engineer

• Design, develop, and maintain scalable cloud-based data pipelines using Azure Databricks and/or Azure Synapse
• Implement data processing solutions using Spark (PySpark and/or Scala) and Python
• Build and optimize data ingestion, transformation, and aggregation workflows in Azure environments
• Work with data lakes, Delta Lake, and distributed processing frameworks to support analytics and downstream use cases
• Write and optimize complex SQL queries for data validation, transformation, and reporting
• Participate in solution design discussions, technical reviews, and Agile ceremonies (stand-ups, sprint planning, retrospectives)
• Take ownership of assigned data engineering solutions and deliver end-to-end implementations with minimal oversight
• Troubleshoot, optimize, and support production workloads, ensuring performance, reliability, and scalability

We are looking for a skilled and self-driven Databricks/Azure Engineer to design, build, and support scalable data solutions in the Azure cloud. This role focuses on developing high-performance data pipelines using Azure Databricks and/or Azure Synapse, leveraging Spark and Python to deliver reliable, production-ready data platforms., * 5+ years of professional data engineering experience

• Hands-on experience with Azure Databricks and/or Azure Synapse Analytics
• Strong expertise in Apache Spark (PySpark and/or Scala) and Python for large-scale data processing
• Experience building and maintaining scalable data pipelines in cloud environments (Azure preferred)
• Solid understanding of data lakes, Delta Lake, and distributed data processing concepts
• Strong SQL skills and experience working with relational databases
• Ability to work independently, manage priorities, and deliver high-quality solutions with minimal guidance

Preferred Skills

• Experience supporting enterprise production data platforms
• Familiarity with data architecture best practices and performance tuning
• Strong problem-solving and troubleshooting abilities

Work Environment

• Agile, collaborative team setting
• Opportunity to work on modern cloud data platforms
• Combination of independent ownership and cross-team collaboration

The anticipated hourly rate range for this position is ($60-$63/hr). Actual hourly rate will be based on a variety of factors including relevant experience, knowledge, skills and other factors permitted by law. A range of medical, dental, retirement and/or other benefits are available after a waiting period.