Data Engineer - Lakehouse, Reporting, AI

This role focuses on designing, developing, and supporting data engineering and data integrations, primarily in a Databricks data lake house environment. The Data Engineer will collaborate closely with business users to build semantic data models, dashboards, and perform hands-on analysis to address business questions. This position plays a crucial role in establishing a robust data foundation that supports AI and machine learning initiatives, ensuring high-quality, well-governed data products. Key Responsibilities: • Design and develop reliable data pipelines that ingest data from various source systems into a Databricks data lake house. • Curate data through a layered medallion architecture into clean, analytics-ready datasets. • Collaborate with business users to build semantic data models and dashboards that support decision-making. • Conduct hands-on data analysis to answer business questions and provide actionable insights. • Establish and maintain data governance and quality practices to ensure the reliability of data products. Required Qualifications: • Minimum of 5 years of IT/technology experience spanning data analysis, data engineering, and/or data integration. • At least 3 years of experience writing SQL/NoSQL queries, with specific experience in MS SQL Server, Oracle, and/or Postgres. • Bachelor's degree in Information Systems, IT, or a related technical discipline. • Hands-on experience with a modern cloud data platform or lake house, such as Databricks, Microsoft Fabric, or Snowflake. • Strong Python skills for data engineering, including experience with PySpark. Additional Details: • Location: Houston, TX 77479 Join a dynamic team that leverages modern cloud data platforms to drive impactful business decisions and contribute to cutting-edge AI and machine learning initiatives. #11753