We are seeking a highly skilledsenior data engineerwith deep experience insnowflake, etl development, python, and matillionto design, build, and optimize scalable data solutions. This role will play a key part in enabling analytics, reporting, and advanced data use cases while staying ahead ofemerging snowflake capabilities, including technologies such assnowflake cortex. The ideal candidate is hands-on, technically strong, and comfortable working across the full data lifecycle—from ingestion and transformation through optimization and enablement of downstream analytics and ai-driven use cases.key responsibilities design, develop, and maintain scalable, high-performance data pipelines usingsnowflakeas the core data platform build and optimizeetl/elt workflowsusingmatillionand python develop reusable, well-documented python code for data processing, orchestration, and automation optimize snowflake performance through effective use of clustering, partitioning, warehouses, and cost-management best practices partner with analytics, data science, and business teams to translate requirements into reliable data solutions ensure data quality, reliability, and governance across pipelines and datasets stay current onemerging snowflake technologies and features, includingsnowflake cortex, and evaluate opportunities for adoption support advanced analytics, reporting, and ai/ml use cases by delivering clean, well-modeled data participate in architectural discussions and contribute to data platform best practices and standards troubleshoot and resolve data pipeline and performance issues in production environmentsrequired qualifications 6+ years of hands-on experienceas a data engineer or in a similar role 6+ years of snowflake experience, including schema design, performance tuning, and optimization strong experience designing and buildingetl/elt pipelines advanced proficiency in pythonfor data engineering use cases strong experience with matillionfor snowflake-based data integration solid understanding of data modeling concepts (e.g., dimensional modeling, star/snowflake schemas) experience working with large-scale, cloud-based data platforms strong sql skills and experience optimizing complex queries ability to work independently and collaborate effectively in cross-functional teams preferred / nice-to-have qualifications experience or exposure tosnowflake cortexor other emerging snowflake ai/ml capabilities familiarity with cloud platforms (aws, azure, or gcp) experience supporting analytics, bi, or data science teams knowledge of ci/cd practices for data pipelines experience with data governance, security, and compliance in cloud data environments