Data Engineer (Star Burst And "Big Query")

ETL / Data Engineer (BigQuery & Starburst) Location: Charlotte, NC Contract- 3 days onsite Role Summary We are looking for ETL/Data Engineers with strong experience in BigQuery and Starburst to design, build, and optimize scalable data pipelines supporting analytics and AI-driven use cases. Key Responsibilities • Design and develop scalable ETL/ELT pipelines for structured and semi-structured data • Build and optimize data ingestion, transformation, and loading processes into BigQuery • Develop federated query solutions using Starburst (Trino/Presto) across heterogeneous data sources • Implement data modeling, schema design, and partitioning strategies for performance optimization • Ensure data quality, validation, and governance across pipelines • Collaborate with data science and AI teams to enable downstream analytics and Gen AI use cases • Manage scheduling, orchestration, and monitoring of ETL workflows Required Skills • Strong experience in Google BigQuery (data modeling, querying, performance optimization, cost management) • Hands-on experience with ETL/ELT pipeline development and large-scale data processing • Experience with Starburst / Trino / Presto for distributed query processing • Proficiency in Python, SQL, and Spark-based processing frameworks • Experience with workflow orchestration tools (Airflow, ADF, etc.) • Strong understanding of data warehousing concepts and data governance Preferred • Experience with cloud data platforms (GCP, AWS, Azure) • Exposure to data lakehouse architectures and federated query models • Understanding of supporting AI/ML and analytics workloads