Senior Data Engineer

We’re looking for an experienced Cloud Data Engineer to join a growing data organization and play a key role in building modern, scalable cloud data platforms in Dallas, TX.

This is a full time role and not open to contract or C2C candidates.

All applicants must be US Citizen or Green Card Holder.

This is a hands-on engineering role for someone who enjoys working with Azure Databricks, PySpark, SQL, and modern lakehouse architecture and wants to be involved in the evolution of enterprise data and AI capabilities.

🔑 What You’ll Be Doing

• Design and build scalable ETL/ELT pipelines using Azure Databricks, Azure Synapse, Azure Data Factory, and SQL
• Develop highly scalable Databricks notebooks using Python, PySpark, Spark SQL, and Scala
• Design and implement Medallion Architecture (Bronze, Silver, Gold)
• Build and optimize modern data lakehouse and data warehouse solutions
• Develop and tune complex SQL, T-SQL, Spark SQL, and PySpark workloads
• Implement CI/CD and automated deployments using Git and Azure DevOps
• Work with large, complex datasets and focus on performance, scalability, reliability, and cost optimization
• Partner with architects, developers, business stakeholders, and leadership to deliver enterprise data solutions
• Support AI, Machine Learning, and Generative AI initiatives through data preparation, feature engineering, model integration, and MLOps
• Help evaluate and implement emerging cloud, data, and AI technologies

🎯 What We’re Looking For

• 7+ years of experience in data engineering, ETL/ELT, data warehousing, or enterprise analytics
• Strong hands-on experience with Azure Databricks
• Strong experience with Python, PySpark, SQL/T-SQL, and Spark SQL
• Experience with Azure Synapse Analytics and Azure Data Factory
• Proven experience implementing Medallion Architecture
• Strong understanding of data lakehouse and data warehouse architecture
• Experience with Git, Azure DevOps, CI/CD, and automated deployments
• Experience working with high-volume datasets and distributed data processing
• Exposure to AI/ML, Generative AI, feature engineering, vector-based data architectures, or MLOps
• Strong communication and problem-solving skills

⭐ Nice to Have

• Microsoft Fabric / OneLake
• Azure AI services or Generative AI
• Databricks certifications
• Azure certifications
• Experience in Insurance, Financial Services, Accounting, or Actuarial environments
• Experience with enterprise data modernization or cloud migration

If you're a Cloud Data Engineer who wants to work at the intersection of Databricks, Azure, modern data architecture, and AI, I'd love to connect.