Lead Data Engineer
Access SystemsInternship
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should possess a Bachelor's or Master's degree in Computer Science or a related field, or equivalent experience, along with 6+ years of experience in data engineering or backend systems development. Proficiency in SQL for data transformation and analysis is essential, as is deep experience in data modeling for large-scale distributed data warehouses like BigQuery, Redshift, or Snowflake, including an understanding of design trade-offs and best practices.
The Senior Data Engineer will lead the design, development, and maintenance of performant and cost-efficient data pipelines, including both batch and streaming processes. Responsibilities include building robust data ingestion and export workflows, collaborating with engineering teams to evolve data architecture, driving technical design reviews, mentoring on engineering best practices, partnering with product teams to shape source datasets, and staying current with emerging data technologies to drive innovation.
Digital health platform for women's healthcare
Maven Clinic provides a digital health platform focused on women's and family health services. It offers a wide range of support, including preconception care, fertility preservation, IVF, adoption, surrogacy, and menopause care. The platform connects users with dedicated Care Advocates and utilizes data-driven insights to ensure equitable access to healthcare, regardless of location or background. This approach helps improve health outcomes and reduces the need for expensive medical procedures. Maven Clinic's services include on-demand appointments with specialized providers, ongoing assessments, and proactive check-ins, which enhance member engagement and allow for early risk identification. The company aims to deliver comprehensive care while achieving significant clinical and business returns on investment.