Senior Data Engineer (Lakehouse Specialist) Client Data Analytics Internal Practice Team Team is doing work for St. Louis University, Washington University, Mehrs Goodwill, and a hand full of other active clients. Communication Must be perfect communication Work location Remote or Local If local will work hybrid. Client Location Work hours will be Central Time zone, St. Louis, MO (Chesterfield, MO) Term 1 year+ contract Work Status GC/USC required Key Skills • DataBricks, Snowflake, AWS, GCP, SQL, Python • Lakehouse platform development • Lakehouse Architect and Maintain with Delta Lake, Apache Iceberg, or Hudi • Spark: Develop and optimize batch and streaming ETL pipelines • Data Lakehouse design patterns and modern data architectures Job Description We are seeking a Senior Data Engineer with strong experience building and maintaining Data Lakehouse architectures. In this role, you’ll design scalable data pipelines, optimize data models, and ensure high-performance data availability across structured and unstructured sources. You’ll work closely with data analysts, data scientists, and business stakeholders to deliver reliable, high-quality datasets that support analytics, machine learning, and real-time decision-making. Key Responsibilities • Architect and maintain Lakehouse platforms using tools like Delta Lake, Apache Iceberg, or Hudi • Develop and optimize batch and streaming ETL pipelines • Implement data quality, governance, and security best practices • Collaborate with cross-functional teams to deliver business-critical datasets • Tune performance and ensure scalability for large-scale workloads Qualifications • 5+ years of data engineering experience • Strong knowledge of cloud data platforms (e.g., Databricks, Snowflake, AWS, GCP) • Proficiency in SQL, Python, and big data tools (Spark, dbt, etc.) Experience with data lakehouse design patterns and modern data architectures If you are interested or have any references please share resume at mukul@brightmindsol.com.