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
Required Qualifications:
- 3-7+ years of experience in data engineering or data development
- Strong hands-on experience with:
- 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