Senior Data Engineer

Senior Data Engineer (Contract)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 ResponsibilitiesDesign, build, and maintain scalable batch and real-time data pipelines using Python, SQL, and SnowflakeDevelop and manage Snowflake data warehouses and lakes to support business analyticsImplement security features such as row-level access and dynamic masking for sensitive dataMonitor Snowflake query performance, warehouse usage, and credit consumption for cost efficiencyCollaborate with data science and analytics teams to support machine learning and analytical initiativesCreate semantic layers and dimensional data models (Star/Snowflake schemas) for BI toolsAutomate 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 accountsRequired Technical SkillsStrong Python skills for ETL scripting, automation, and data transformationDeep knowledge of Snowflake architecture, security policies (RBAC, masking), and performance tuningAdvanced SQL skills for writing, optimizing, and debugging complex queriesHands-on experience with data orchestration and ETL tools such as Airflow, dbt, or InformaticaPreferred SkillsExperience integrating with ML/AI/LLM modelsFamiliarity with data observability tools such as Great ExpectationsExposure to metadata management platforms like DataHub or CollibraSoft SkillsExcellent communication and collaboration skillsStrong problem-solving abilities with a focus on data quality and pipeline scalabilityWork ModelHybrid work arrangement: 3 to 4 days onsite per week in Houston, TX