Who we are:

At Ciitizen, we have a singular mission: to improve the lives of the 350 million+ people suffering from rare and complex conditions. Leveraging our AI-powered data platform, we empower patients with seamless access and control over their health data that they can share across our multi-sided ecosystem with caregivers, providers and researchers to illuminate better treatment and support options, while bringing therapies to patients faster. We support thousands of patients, work with a rapidly growing network of patient advocacy organizations, and innovate with leading biopharma organizations to accelerate therapies, always ensuring patients remain at the center.

The Role:

The Staff Data Engineer will lead the design, architecture, implementation, and delivery of data infrastructure supporting AI-powered solutions and insights for researchers, patients, and stakeholders. You'll work closely with clinicians, data scientists, engineers, and business teams to build scalable data pipelines, optimize storage and retrieval, and ensure data quality and accessibility.

Passionate about data-driven decisions, you thrive in fast-paced environments and influence key technical choices. You are open to adapting strong opinions and focused on delivering solutions quickly. We're looking for a dynamic player-coach who can excel as a senior contributor and transition into a leadership role as the data team grows.

This is a full-time, hybrid role based out of San Mateo, CA.

Responsibilities:

Design and implement scalable and reliable data infrastructure for clinical, business, and operational needs, including real-time/batch pipelines and warehousing solutions
Optimize data systems for high-performance querying and analysis and develop data infrastructure supporting AI solutions in clinical settings
Stay current with emerging data technologies and methodologies, and apply them strategically to ensure data quality, integrity, and accessibility
Build and mentor a high-performing data engineering team, fostering innovation and continuous learning
Champion a data-centric approach throughout the organization, aligning data strategies with business objectives

Must-Have Skills:

7+ years of experience as a data engineer with a proven track record of designing, implementing, and managing large-scale data systems.
Deep expertise in data modeling, data architecture and modern data warehousing solutions (e.g. Clickhouse, Snowflake, Redshift, or BigQuery)
Extensive experience with data pipeline tools and frameworks such as Apache Airflow, Spark, Kafka, and ETL technologies
Strong proficiency in SQL and expertise in programming languages such as Python, R

Preferred Skills:

Proven ability to optimize data systems for performance and cost-efficiency, particularly for large-scale clinical and business datasets
Strong skills in data visualization tools and BI platforms (e.g., Superset, Tableau, Power BI)
Hands-on experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and their associated data services.
Experience with CI/CD practices for data pipelines and infrastructure-as-code
Excellent problem-solving skills and attention to detail
Strong communication skills
Proven experience in interviewing engineering candidates, mentoring team members, and fostering professional growth within a technology team

Our Preferred candidate will also have:

Experience with real-time and batch processing of large scale data
Experience with machine learning data pipelines and integration
Knowledge of data security and privacy regulations and best practices a plus
Passion for improving data systems and solving complex data challenges, particularly within the healthcare sector

At Citizen Health, we are committed to fostering a diverse and inclusive workplace. We are an equal opportunity employer and welcome candidates from all backgrounds to apply. We particularly encourage applications from individuals with personal or family experiences with rare diseases, as your insights could be invaluable to our mission.