Sr. Data Engineer

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 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. #J-18808-Ljbffr