Senior Data Engineer

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., 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.

For candidates in NYC or CO, the salary range for this role is $196,000 - $230,000 per year. You may also be entitled to receive a bonus, stock options, and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset.

Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction.