Senior Data Engineer

Senior Data Engineer

WW is looking for candidates to help change people’s lives. We are a global wellness technology company inspiring millions of people to adopt healthy habits for real life. We do this through engaging digital experiences, face-to-face workshops and sustainable programs that encourage people to move more, shift their mindset and eat healthier while enjoying the foods they love. By drawing on over five decades of experience and expertise in behavioral science, we build communities in order to deliver wellness for all. To learn more about WW and jobs with a purpose, visit ww.com.



Collecting data from many unique sources we are strongly positioned to derive deep knowledge on our member’s behaviors. Using this data we can provide improved & personalized experiences for users as well as providing insights to the executive team that will drive the evolution of our company.

To help us achieve our goals, we are seeking Data Engineers to join our team.

Description

Uniquely positioned to lead the way in the exciting HealthTech industry, WW is rebuilding most of our core experiences and embracing modern engineering practices and techniques.

Collecting data from many unique sources we are strongly positioned to derive deep knowledge on our member’s behaviors. Using this data we can provide improved & personalized experiences for users as well as providing insights to the executive team that will drive the evolution of our company.

As we rebuild many of our core experiences, we are seeking talented people who are excited to join our team. This is a rare opportunity to join a company embracing a modern Technology culture, where you will have the ability to improve people’s lives in a very meaningful way and have a major impact on WW offerings to our members. As reliance on health and wellness awareness increases, you can be part of the team that is leading the way.

To help us achieve our goals, we are seeking Data Engineers to join our team. 

Some of the opportunities this role has to offer include: 

  • Work closely with our data scientists to help build complex algorithms that provide unique insights into our data.
  • Build data pipelines that clean, transform and aggregate data from many different sources.
  • Develop models that can be used to make predictions.
  • Build complex functions that answer questions for the business.
  • Model data at rest and enable powerful data analysis.
  • Enable machine learning, natural language processing and other data science methods within WW.
  • Work with engineers across the organization to identify data quality issues in source systems and help keep the data clean.
  • Provide solutions that help share data with the enterprise.
  • Be an advocate for best practices and continued learning. 

You should have:

  • Experience with a Cloud Data Platform such as GCP or AWS
    • If GCP: Big Query, Cloud Dataflow, Cloud Dataproc, Pub/Sub
    • If AWS: Redshift, EMR, Datapipeline, RDS, Lambda ,and Kinesis.
  • Experience programming in Scala, Python, or Java.
  • Experience building data pipelines using Apache Beam or Apache Spark.
  • Experience with some of the following data stores: Big Query, Redshift, Postgres, Cassandra, or Mongo.

It would be great if you also have:

  • Experience with real time streaming solutions such as Kinesis, Pub/Sub, or Kafka.
  • Large scale Data Modeling from a Modern Big Data perspective.
  • Experience producing and consuming event driven data.
  • Experience working on a data team building functions, models and complex algorithms.

We hire only the best people. Here are the benefits to being top-notch: 

  • The opportunity to work with some of the best innovators in the industry
  • Generous healthcare coverage
  • 401(K) with company match
  • Paid Time Off
  • Paid parental leave
  • Tuition reimbursement
  • Wellness allowance
  • Profit Sharing

WW is an equal opportunity employer. WW does not discriminate on the basis of sex, race, color, creed, national origin, marital status, age, religion, sexual orientation, gender identity, gender expression, veteran status, or disability.

Any offer of employment is contingent upon the satisfactory results of reference and background checks.


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