Data Engineer III

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Teladoc Health is transforming how people access and experience healthcare. Recognized as the world leader in virtual care, we are partnering with over a thousand clients to serve millions! of people around the globe every day. Teladoc Health offers a whole person virtual care platform that empowers all people everywhere to live their healthiest lives by transforming the healthcare experience, from acute and primary care to chronic care, mental health, and specialty care.

Our team of data engineers aggregate and transform substantial amounts of health data and information to support actionable, personalized, and timely health signals for our members. This approach delivers better clinical and financial outcomes while creating a different and better healthcare experience for people everywhere. The applicant should have a strong interest in the interface between real-time and reporting systems, pulling data from multiple sources into central data storage, and collaborating with internal teams to help provide for their data needs.

About You

You flourish in a fast paced and highly collaborative team environment. You are a quick

learner and have the expert ability to prioritize tasks efficiently, while delivering high quality work. You understand that solutions provided by a Data Engineer, support in empowering an organization’s business in decision making. You will be part of a great working atmosphere, performing complex work in a collaborative team of amazing people, with forward-thinking managers. You will have the opportunity to make an impact.

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
• 5+ years’ experience in software development/engineering
• 5+ years’ experience in a data engineering role
• 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 / AWS Redshift/MySQL/SQL Server/Oracle)
• Expertise in Python(preferred), Scala, or Java
• 3+ years of experience working in AWS, experience in Azure or GCP can be considered
• Experience in performance tuning and query optimization
• Experience in Cloud data engineering in AWS stack. AWS certification is a plus.
• Tool based data pipeline development experience is desirable (Talend/Informatica/ IBM Datastage).
• Streaming data flow experience is desirable (Kafka).
• Experience 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