Senior Data Engineer

Data Engineer

You'll build and maintain data pipelines and datasets that support reporting, visualization, machine learning and data-driven decision making across finance, sales, supply chain, marketing and other business functions.

Your responsibilities will include:

• Developing and maintaining scalable data pipelines and reusable datasets within a Databricks lakehouse environment
• Ingesting, validating, cleaning and transforming structured and unstructured data from multiple sources using Python, PySpark and SQL
• Building data models and reporting datasets that support Tableau and established analytics tools such as Spotfire
• Integrating established data warehouse and reporting systems with modern cloud analytics platforms
• Improving pipeline reliability, data quality and processing performance
• Implementing automated testing, monitoring, documentation and CI/CD practices
• Partnering with analysts, architects, developers and business stakeholders to deliver practical data solutions
• Providing technical guidance, reviewing code and mentoring other data engineers