Senior Data Engineer

As a Senior Data Engineer, you will design and develop curated data products and pipelines using Snowflake, Airflow, Python, and AWS. You will also own the full lifecycle of data workflows — from requirements to deployment — with minimal supervision. Responsibilities include implementing and improving frameworks for data quality, lineage, and observability and Use AI-driven tools to automate repetitive tasks such as documentation, data lineage extraction, and anomaly detection. You will also maintain and enhance documentation of data pipelines and products, ensuring transparency and ease of use across teams. Partner with analysts, data scientists, and product teams to deliver data assets optimized for analytics and machine learning, support production data operations, troubleshoot issues, and continuously optimize performance and cost. Mentoring team members, sharing knowledge, and contributing to the overall direction of the data engineering practice are also aspects of the job.