Maven

New York
201-500 employees
Maven is the largest virtual clinic for women's and family health, offering continuous, holistic care for fertility, pregnancy, and parenting.

Data Engineer

Data Engineer

This job has closed but is shown for context on data science work at Maven.

Maven is the largest virtual clinic for women’s and family health with a mission to improve the health of the world-- one woman, one family at a time. Maven’s unique care model enables employers and health plans to improve maternal health outcomes and lower costs, while empowering parents to grow their families while growing their careers. Its platform is global, includes personalized programs across fertility, maternity, and parenting/pediatrics, and offers 24/7 access to Maven’s proprietary telemedicine network, the largest in women’s health. 

Founded in 2014 by CEO Katherine Ryder, Maven was recognized in 2020 as Fast Company’s #1 Most Innovative Health Company. Maven has supported over 8 million women and families, and raised $92 million in funding from leading investors like Sequoia Capital, Oak HC/FT Partners, Icon Ventures, and individual strategic investors Reese Witherspoon, Mindy Kaling, Natalie Portman, and Anne Wojcicki. 

Maven is looking for a skilled Data Engineer to help us build out our data infrastructure as our product and user base continue to grow. The Data Engineer, reporting to the Senior Director of Engineering, will work cross-functionally with engineering, product, design, and data teams. By ensuring that our data warehouse is technically efficient, reliable, secure, and comprehensive enough to meet our business requirements, the Data Engineer will be a leader of our data-driven culture and decision making at Maven. 

As a Data Engineer at Maven, you will: 

  • Develop and iterate on data extraction, transformation, and loading processes involving a wide variety of technologies and systems.
  • Design, implement, and test scalable data pipelines and infrastructures for new products and data sources.
  • Own data quality and navigate complex challenges related to healthcare data privacy.
  • Develop data enhancements using data science and machine learning approaches.
  • Consult with backend teams and product pods on schema, database, and pipeline design across the codebase.
  • Work on a sprint schedule with an engineering pod, develop code in an Agile framework, commit and review merge requests in GitLab.
  • Thrive in a collaborative environment where data expertise and responsibility are shared with teammates across disciplines.
  • Promote analytical and data engineering best practices across both technical and non-technical stakeholders at Maven.

We’re looking for you to bring:  

  • 2+ years experience with ETL design, implementation and maintenance.
  • Proven excellence owning schema design, dimensional data modeling, and data roadmap.
  • Proficiency in SQL and Python, experience working with REST APIs.
  • A passion for dissecting and reconstructing complex issues with a scalable, data-driven approach.
  • Knowledge of data modeling, data access, and data storage best practices.
  • Excellent project management and prioritization skills.
  • Strong written and verbal communication, with an emphasis on teaching and empowering others to leverage the data at hand.
  • Leadership to drive future product and engineering decisions to deliver great data for new product development.

Helpful experiences and skills (if you don’t have them, you can learn them with us!): 

  • BS+ degree in Computer Science, Engineering, Statistics, or a related field, or equivalent training, fellowship, or work experience
  • Working with Docker, Kubernetes, or other container and deployment tools
  • Experience with pipeline and job orchestration software (Airflow a plus), analytical databases (BigQuery a plus), BI tools (Looker a plus), data management softwares (dbt a plus)
  • Development with cloud platforms (Google Cloud a plus), as well as infra as code tooling (Terraform a plus)
  • Familiarity with data governance frameworks, and working with PHI & PII data
  • Background in a healthcare-related or other regulated field

At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams.  

Benefits & Perks: 

Maven employees are united in their quest to improve the health and well-being of women and their families in our community. We seek to empower all of our team members to fulfill that mission and reach their full potential regardless of function, geography or experience level. That’s why we invest in our employees, who are our most important asset in achieving our mission. To that end, we offer:

  • Choice of great medical, dental, and vision insurance plan options, including a plan for which the premium for Mavens is 100% covered by Maven
  • Access to the Maven platform service and free Maven appointments for Mavens and generous credits for family & friends
  • Free One Medical membership
  • 401(k) plan
  • Unlimited paid time off
  • Monthly stipend for your choice of wellness benefits
  • Weekly stipend for a *free* lunch
  • One-time stipend to enhance your work from home experience (We will be working remotely until sometime next year!)
  • A variety of virtual team events such as musical performances, game nights & happy hours
  • 12 weeks parental leave and 2 weeks flexible time upon return
  • Annual professional development stipend
  • 1 month paid sabbatical after 5 years

Maven is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Please note that Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g jsmith@mavenclinic.com). Maven Clinic will also never ask for bank account information (routing, account numbers), social security numbers, passwords or any other sensitive information to be delivered over email, or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: security@mavenclinic.com.

This job has closed but is shown for context on data science work at Maven.
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