Data Engineer

JOB OPPORTUNITY Sr Cloud Data Engineer Irving, TX Contract to hire We are seeking a Senior Cloud Data Engineer to join our data platform team and play a key role in designing, building, and maintaining scalable data infrastructure across our enterprise. This is a hands-on engineering role for someone who thrives at the intersection of cloud architecture, data pipeline development, AI Integration, and DevOps automation. You will lead the full Microsoft data ecosystem — spanning Azure Data Factory, Microsoft Fabric, Synapse Analytics, Logic Apps, and Function Apps — and will bring a strong working knowledge of AI and machine learning platforms, including Azure AI Services and Azure OpenAI, to help the organization move from data delivery toward intelligent, insight-driven automation. You will also contribute to our multi-cloud resilience strategy, bringing working knowledge of AWS to support contingency and hybrid workloads as needed. Qualifications & Requirements • Around 10 years of experience in data engineering with a strong focus on cloud-native solutions. • Deep hands-on expertise with the Microsoft Azure data stack, including Azure Data Factory, Microsoft Fabric, Synapse Analytics, Logic Apps, and Function Apps. • Proven experience with infrastructure-as-code using Terraform, and CI/CD platforms such as GitHub Actions and Harness. • Strong proficiency in SQL and at least one data-oriented programming language, with Python preferred given its centrality to AI and ML integration work. • Demonstrated experience integrating Azure AI Services or Azure OpenAI into data pipelines or platform workflows, including working with REST-based AI APIs, prompt engineering, embeddings, or AI-assisted data processing. • Practical experience publishing data to SharePoint Lists from ADF pipelines, including familiarity with SharePoint Online REST APIs and OAuth authentication flows. Working knowledge of AWS services — such as S3, Glue, or Lambda — sufficient to design and operate contingency or hybrid workflows.