Data Engineer (Airflow/Python/Snowflake/Azure) ($45/hr)

We are seeking a highly capable Data Engineer to play a hands-on role in designing, building, and delivering scalable data solutions. This position combines deep technical execution with stakeholder collaboration and end-to-end ownership of data pipeline delivery. The ideal candidate brings strong experience with Apache Airflow, Python, Snowflake, and Azure, along with a proven ability to manage deployments, ensure data quality, and coordinate across distributed teams. Key Responsibilities • Design, develop, and maintain robust data pipelines using Airflow, Python, Snowflake, and Azure • Own end-to-end delivery, including development, testing, deployment, and post-release support • Review, enhance, and maintain code to ensure scalability, performance, and reliability • Manage deployment processes and ensure release readiness across environments • Define and lead testing strategies, including test case reviews and data validation to ensure high data quality • Perform data analysis to support business and technical decision-making • Collaborate with Product Managers, Business Stakeholders, and Engineering Leadership to refine requirements and priorities • Coordinate with offshore engineering teams, including task delegation, code reviews, and QA alignment • Partner closely with Data Modelers to ensure pipelines align with enterprise data architecture • Track progress, manage risks, and provide clear, consolidated status updates to stakeholders Required Skills & Experience • Strong hands-on experience in data engineering and pipeline development • Proficiency in Python for data processing and workflow development • Experience building and orchestrating workflows using Apache Airflow • Solid experience with Snowflake, including data modeling, performance tuning, and optimization • Experience working within the Azure cloud ecosystem • Proven experience managing deployments, release cycles, and production support • Strong understanding of data quality, validation, and testing frameworks Preferred Qualifications • Experience working in onshore/offshore delivery models • Strong leadership and coordination skills in cross-functional environments • Excellent communication and stakeholder management abilities • Familiarity with modern data architecture patterns and best practices