Senior Data Engineer

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 & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs.

Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, Step Stone Group, Icon Ventures, and Lux Capital.

To learn more about Maven, visit us at

An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including:

• Fortune Change the World (2024)
• CNBC Disruptor 50 List (2022, 2023, 2024)
• Fortune Best Workplaces for Millennia ls (2024)
• Fortune Best Workplaces in Health Care (2024)
• Fast Company Most Innovative Companies (2020, 2023)
• Built In Best Places to Work (2023)
• Great Place to Work certified (2020, 2021, 2022, 2023, 2024)
• Fast Company Best Workplaces for Innovators (2022)
• Built In LGBTQIA+ Advocacy Award (2022)

As a Senior Data Engineer at Maven Clinic, you will be responsible for designing, implementing, and maintaining performant and cost-efficient data pipelines (both batch and streaming). You will also play a key role in shaping Maven’s overall data architecture to expand our data warehouse capabilities and enhance our analytics, machine learning, and AI functions.

You will work closely with cross-functional teams to ensure the delivery of high-quality, well-governed datasets and data products that empower data-driven decision-making across the business and product landscape, ultimately driving Maven’s growth and customer success. You will also collaborate with product and leadership teams to help shape the strategic roadmap for Maven’s data functions.

As a Senior Data Engineer at Maven, you will:

• Lead the design, development, and maintenance of high-performance, cost-efficient data pipelines - both batch and streaming.
• Build and maintain robust data ingestion and export workflows that ensure end-to-end data quality, observability, and reliability in production environments.
• Collaborate with data platform and backend engineering teams to evolve a scalable, secure, and fault-tolerant data architecture.
• Drive technical design reviews and provide mentorship on engineering best practices, data architecture principles, and high coding standards.
• Partner with product and service engineering teams to shape and model source datasets, ensuring alignment with a unified data vision across systems.
• Stay ahead of emerging technologies, frameworks, and trends in the data space to inform architectural decisions and drive innovation within the team.

We’re looking for you to bring:

• Bachelor's or Master's degree in Computer Science or related field, or equivalent experience.
• 6+ years of experience in data engineering or backend systems development, with a track record of building scalable, performant, and reliable data solutions.
• Highly proficient in SQL or similar languages for data transformation / ETL and analysis.
• Deep experience in data modeling for large-scale distributed data warehouses (e.g., Big Query, Redshift, Snowflake), with a strong understanding of design trade-offs and best practices.
• Demonstrated ability to collaborate effectively with cross-functional partners, particularly product, analytics, and operations teams.
• Working proficiency in one of the programming languages (Java, Python, Go, etc.), and hand-on experience with one of the workflow orchestration tools (eg. Apache Airflow)
• Product-oriented mindset with a strong focus on scalable, maintainable engineering solutions…