Job Description

Staff Data Engineer

New York, NY; Remote, US

Maven is the world’s largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven’s award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause. Employers and health plans trust Maven’s end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Founded in 2014 by CEO Kate Ryder, Maven has raised $300 million in funding from top healthcare and technology investors including General Catalyst, Oak HC/FT, Sequoia, Dragoneer Investment Group, and Lux Capital.

About the Role

As a staff level Data Engineer at Maven Clinic, you will be responsible for driving the technical vision and roadmap for our Data Engineering and Data Platform teams. You will lead the design, implementation, and maintenance of a performant and cost efficient data pipelines (both batch and streaming), as well as contribute to the overall Maven data architecture, with the goal of expanding our data warehouse functionality and uplevel the data analytics and machine learning capabilities. You will work closely with cross-functional teams to ensure the delivery of high-quality data sets and features, that empower our key business and product decision makings, and eventually lead to Maven’s growth and customer success.

Key Responsibilities

  • Lead the design, implementation and maintenance of highly performant and cost efficient data pipelines
  • In partnership with data platform and backend teams, contribute to the architecture design of a highly scalable and reliable data systems
  • Collaborate with product and service engineers in reviewing the modeling of the source datasets, guiding the holistic data vision between various data systems
  • Drive technical design discussions in all related data domains and provide guidance to team members on best practices, coding standards, and architecture principles.
  • Mentor and guide and mid-level data engineers, helping to develop their technical skills and cultivate a culture of continuous learning and improvement.
  • Identify and evaluate emerging technologies, tools, and trends that can drive innovation and improve the efficiency and effectiveness of our data engineering processes.


  • Bachelor’s or Master’s degree in Computer Science or related field, or equivalent experience.
  • Minimum of 7 years of experience in data engineering or relevant backend development, with a proven track record of building highly scalable, performant, and reliable data pipelines.
  • Extensive experience in using SQL or similar data processing language to process and analyze data
  • Extensive experience with data modeling for large distributed data warehouses (or a similar cloud based) solutions, is able to discuss in-depth about general principles and trade-offs of different modeling approaches.
  • Hands-on experience with one of the workflow orchestration tools (eg. Apache Airflow)
  • Excellent collaboration and communication skills, with a demonstrated ability to work effectively with cross-functional business partners, especially with teams outside of the engineering group
  • Working proficiency in one of the programming languages (Java, Python, Go, etc.)
  • Product mindset to embrace business needs and produce scalable data/engineering solutions
  • Experience leading technical design discussions and providing guidance on best practices, coding standards, and architecture principles.
  • Strong problem-solving and analytical skills, with a proven ability to deliver high-quality code in a fast-paced environment.