Senior Data Engineer

Position Summary: We are seeking a Senior Data Engineer to join a collaborative engineering team focused on building scalable, high-performance data solutions. In this role, you will design, develop, and optimize modern data pipelines and data platforms that transform complex data into actionable insights. You'll work closely with cross-functional teams to deliver reliable, efficient, and scalable data solutions that support business-critical initiatives. What the right candidate will enjoy: Working in a fast-paced and highly collaborative environment. Engaging with customers to understand and prioritize innovative new offerings and incremental technology improvements. Being part of a team that values agile methodologies and continuous improvement. Job Must Haves: 5+ years of data engineering experience Strong understanding of data modeling principles Proficiency in at least one major programming language (e.g., Python) Hands-on production experience with data pipeline orchestration systems such as Airflow Experience with Snowflake Strong algorithmic problem-solving expertise Bachelor's degree in computer science, Information Systems, or equivalent industry experience Familiar with Scrum and Agile methodologies Advance understanding of OLTP vs OLAP environments Willingness and ability to learn and pick up new skill sets Self-starting problem solver with an eye for detail What the responsibilities are of the right candidate: Create and maintain Data Platform pipelines. Design table structures using DBT and define data pipelines to build performant, reliable, and scalable data solutions. Collaborate with other data engineers, data scientists, and cross-functional teams (product managers, architects, etc. Document standards and best practices for pipeline configurations, naming conventions, etc. Ensure high operational efficiency and quality of the Core Data Platform datasets. #J-18808-Ljbffr