This is a W2 contract position; C2C and bench sales candidates will not be considered. Position Summary We are looking for a highly skilled Senior Data Engineer to design, build, and optimize scalable data solutions in a hybrid work environment. The ideal candidate will have strong expertise in Python and Snowflake, with a focus on pipeline automation, data security, performance optimization, and analytics support. Key Responsibilities • Design, build, and maintain scalable batch and real-time data pipelines using Python, SQL, and Snowflake • Develop and manage Snowflake data warehouses and lakes to support business analytics • Implement security features such as row-level access and dynamic masking for sensitive data • Monitor Snowflake query performance, warehouse usage, and credit consumption for cost efficiency • Collaborate with data science and analytics teams to support machine learning and analytical initiatives • Create semantic layers and dimensional data models (Star/Snowflake schemas) for BI tools • Automate workflows using CI/CD pipelines (e.g., Jenkins, GitHub) and orchestration tools (e.g., Airflow, dbt) • Facilitate secure external data sharing through Snowflake shares and reader accounts Required Technical Skills • Strong Python skills for ETL scripting, automation, and data transformation • Deep knowledge of Snowflake architecture, security policies (RBAC, masking), and performance tuning • Advanced SQL skills for writing, optimizing, and debugging complex queries • Hands-on experience with data orchestration and ETL tools such as Airflow, dbt, or Informatica Preferred Skills • Experience integrating with ML/AI/LLM models • Familiarity with data observability tools such as Great Expectations • Exposure to metadata management platforms like DataHub or Collibra Soft Skills • Excellent communication and collaboration skills • Strong problem-solving abilities with a focus on data quality and pipeline scalability Work Model • Hybrid work arrangement: 3 to 4 days onsite per week in Houston, TX