Vi is the market-leading Enterprise-AI for health, providing AI SaaS solutions for health and wellness industry leaders with over 81M members on the platform. Vi provides companies ranging from B2C brands to Fortune 500 healthcare providers- helping them optimize member acquisition, enrollment, engagement, retention, and health outcomes. Vi offers 4 main product lines: Acquire, Engage, Trans, and Play.

Backed by $60M+ in R&D, Vi serves 81M+ members through customers such as United Healthcare, Anytime Fitness, and Bowflex.

We are looking for a talented DATA ENGINEER to join our amazing and fast-growing R&D team!

As a Data Engineer, You will be reporting to the Head of Data. You will be making key determinations regarding the Data's Infrastructure, used technologies, and scale. You will work closely with the backend team and our data scientist to develop standards around how data is utilized and managed. You will be working with business and analytical teams to think about how data can be used to improve experiences for end users.

This is a unique opportunity to be part of an organization that has the resources & scale of an established company and the energy, impact & team size of an early-stage startup.

Responsibilities:

• Develop and Maintain our company's Data pipeline infrastructures
• Data quality assurance to ensure high quality and consistent data across all our data platforms
• Performance optimizations across our data processes to enhance overall system performance and reduce latency
• Monitoring our data processes to ensure high availability of our data infrastructure
• Be involved in team architectural discussions
• Work as an integral part of the Data team and work closely with Data Scientists, Data Analysts and Data Engineers
• Work directly with others (Developers, Product and Internal stakeholders) to develop a solid understanding of the business application and requirements for which the application is being designed
  
  

Requirements:

• B.Sc degree in Computer Science or a related technical field or equivalent practical experience
• 1-2 years of experience in a data engineering role
• Coding experience with Python - must
• Experience with SQL and NoSQL databases - must
• Experience with data modeling, data warehousing, and building ELT/ETL pipelines - must
• Experience with Cloud technologies - preferred AWS
• Experience building data pipelines with big data frameworks such as Spark, Hadoop, etc. - must
• Experience working with CI-CD, Docker, Kubernetes
• Experience with Linux OS
• Experience with Git and the various branching models
• Technologically diverse background and ability/willingness to learn new things quickly
  
  

Advantages:

• Experience working closely with data scientists / data science project
• Experience with big data architectures and infrastructures
• Experience with MLOps technological stack
• Experience with BI tools (Tableau, Looker, power bi etc.)
  
  

Why choose Vi?:

At Vi we provide you with the autonomy to deliver, the safety to make mistakes and the opportunity to help millions of people live happier and healthier lives.

We believe that building a great product and a great company starts with finding amazing people and helping them grow and develop professionally and personally. At Vi, you’ll be surrounded by curious, witty, and passionate people that are hungry to drive real impact.

But if that’s not enough, we also offer a competitive salary, stock plans, & loads of extra perks