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.

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