Sr. Data Engineer

Location: Onsite (Preferred)
Employment Type: Direct Hire

We are seeking a highly skilled Data Engineer/Developer to join a growing team focused on building scalable, efficient data solutions. This role is ideal for someone who thrives in a modern data stack environment and takes a pragmatic, problem-solving approach to development. The ideal candidate is not just a coder, but an efficiency-focused engineer; someone who builds reusable components, leverages existing code, and avoids unnecessary reinvention.

Key Responsibilities:

• Design, develop, and maintain data pipelines and workflows using modern tools and frameworks
• Write and optimize complex code using Python and SQL
• Build and manage data transformations using DBT and/or SQLMesh
• Develop solutions within Databricks to support scalable data processing
• Implement and support CI/CD pipelines for data workflows
• Create reusable, modular code to improve development efficiency and scalability
• Collaborate with cross-functional teams to understand data requirements and deliver solutions
• Troubleshoot and optimize performance across data systems

Required Qualifications:

• 3-7+ years of experience in data engineering or data development
• Strong hands-on experience with:
  • Databricks
  • Python
  • SQL
• Experience with DBT and/or SQLMesh
• Familiarity with CI/CD practices in a data environment
• Proven ability to write clean, scalable, and efficient code
• Strong problem-solving skills and the ability to work independently

Preferred Qualifications:

• Experience with cloud platforms (AWS, Azure, or GCP)
• Familiarity with data warehousing and lakehouse architectures
• Experience building modular or reusable code frameworks
• Exposure to Agile development environments