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About
Location:
Onsite (Preferred) Employment Type:
Direct Hire Overview:
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 Job Requirements
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
Languages
- English
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