Maven Clinic is the world's largest virtual clinic for women and families, dedicated to making healthcare accessible for all. As a Senior Data Engineer, you will be responsible for designing and maintaining data pipelines while collaborating with cross-functional teams to enhance data architecture and support data-driven decision-making.
Responsibilities:
- 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
Requirements:
- 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., BigQuery, 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 that meet real business needs
- Experience leading design reviews and setting engineering standards and architecture direction
- Strong problem-solving abilities, with a bias for action and a drive to deliver high-quality solutions in a fast-paced environment