Staff Data Engineer Job in Teladoc Health

Responsibilities Data is significant at Teladoc and our data engineers design and develop data pipelines to integrate data across disparate systems and create tools and data sets to support data science Work with Python, Spark SQL, Scala, TensorFlow, Keras, SKL (or Scala/DL4J) to build production-grade machine learning (ML) pipelines and tools Perform continuous integration to ensure that every step of a data pipeline is testable and automated Collaborate closely with Teladoc Health s ML experts, Data Scientists, Product Managers, and clinical researchers to define, analyze, and provide data that contributes to our mission of total health for our members Document code, provide progress reports, and perform code review and peer feedback Track milestones, activities and inter-dependencies across projects and tasks, with frequent status updates to stakeholders Continuously evaluate and identify improvements in the system processes and architecture Assist in maintaining data quality and fidelity in production systems Participate in Agile planning around data feature requests and advocate for the best data engineering projects in priority planning. Candidate Profile BS degree in Engineering, Computer Science, or a related field 10+ years experience in software development/engineering 10+ years experience in a data engineering role 2+ years working in health care industry Strong experience with big data technologies, and skills in data processing using Spark Expertise in creating and maintaining production data pipelines using Airflow Strong SQL development experience (Postgres /MySQL/SQL Server/Oracle) Expertise in Python(preferred), Scala, or Java 3+ years of experience working in Azure cloud Expertise in performance tuning and query optimization Expertise in Cloud data engineering in Azure stack. Azure certification is a plus. Streaming data flow experience is desirable (Kafka). Expertise in deploying production pipelines in CI/CD environment Excellent communication skills, supporting recommendations, design ideas, and analysis to team and stake holders Experience in leading and guiding other data engineers