Data Engineer -- Cloud & Analytics Pipelines

Job Description Data Engineer — Cloud & Analytics PipelinesBefore applying for this role, please read the following information about this opportunity found below.Every AI system runs on clean data. Houston energy companies are building the pipelines that power their AI. They need you.About the opportunity:Jobvous Staffing Solutions is placing Data Engineers across Houston's energy, financial services, and technology companies. As AI adoption accelerates across every industry, the demand for engineers who can build reliable, scalable data pipelines has never been higher.If you build the plumbing that makes AI actually work — the pipelines, lakehouse architecture, and data infrastructure — we have multiple opportunities for you in Houston right now.Responsibilities: Design and build scalable data pipelines using Databricks, Spark, and Airflow Implement Medallion / Lakehouse architecture on Azure Data Lake or AWS S3 Build feature stores and data infrastructure to support ML model training Optimize pipeline performance, reliability, and cost at scale Collaborate with data scientists and ML engineers to productionize modelsWhat we are looking for: 3+ years of data engineering experience xhyhwjd with production pipelines Strong Python and SQL proficiency Databricks and Apache Spark experience required Azure Data Lake, Azure Data Factory, or AWS Glue experience Airflow or similar orchestration experience Medallion / Lakehouse architecture experience is a strong differentiator Energy sector domain experience is a plus — not required