Sr Data Engineer

CareDx • Brisbane, CA

180d • $112,000 - $175,000

About The Position

CareDx, Inc. is a leading precision medicine solutions company focused on the discovery, development, and commercialization of clinically differentiated, high-value healthcare solutions for transplant patients and caregivers. CareDx offers products, testing services, and digital healthcare solutions along the pre- and post-transplant patient journey, and is the leading provider of genomics-based information for transplant patients. We seek a Senior Data Engineer to contribute to developing clinical data engineering solutions. This role will assist in designing and implementing scalable data pipelines and AI-driven tools to support our mission of improving transplant patient outcomes. The ideal candidate has foundational knowledge in data engineering, OMOP, and natural language processing (NLP), with an interest in cloud computing and precision medicine.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field plus 6+ years of professional software engineering experience, OR Master's degree in a relevant discipline plus 3+ years of experience.
• Expert in Python and SQL with 3+ years working on relational databases (PostgreSQL, MySQL, SQL Server).
• 3+ years architecting and operating workloads in Azure (preferred), AWS, or Google Cloud.
• Hands-on experience with Plotly, Bokeh, or equivalent.
• Experience building LLM-based agents using LlamaIndex, LangChain, Pydantic Agent.
• Track record of building web or desktop data applications (Streamlit, Dash, Flask/Django).
• Skilled in pipeline creation and infrastructure-as-code (Terraform, ARM/Bicep, CloudFormation).
• Familiarity with HIPAA, data privacy frameworks, and enterprise security controls.

Nice To Haves

• Prior experience in Biotech, Pharmaceutical, or Diagnostics industries.
• Knowledge of big data platforms (Databricks, Snowflake, Redshift).
• Experience with containerization and orchestration (Docker, Kubernetes).
• Background in data governance, metadata management, or MLOps.
• Experience with real-time streaming frameworks (Kafka, Azure Event Hubs).
• Contributions to open-source data or ML projects.

Responsibilities

• Partner with data engineers to design, implement, and optimize data models (star schemas, data vault, etc.).
• Ensure data quality, consistency, and governance across all pipelines.
• Collaborate with data scientists to build end-to-end ETL/ELT pipelines using Python, SQL, and orchestration tools (Airflow, Prefect, etc.).
• Develop interactive data applications and dashboards using Plotly, Bokeh, or similar libraries.
• Implement LLM-powered agents and conversational interfaces leveraging LlamaIndex, LangChain, and Pydantic Agent.
• Design, deploy, and maintain cloud resources (compute, storage, networking) primarily in Azure (with AWS/GCP experience).
• Build and manage CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins) for code, infrastructure (IaC), and model deployments.
• Monitor performance and cost; optimize resource utilization.
• Apply HIPAA, GDPR, and other relevant regulatory requirements to data handling and platform security.
• Implement best practices for identity and access management, encryption, audit logging, and vulnerability management.
• Lead code reviews, advocate for best practices (testing frameworks, coding standards, documentation).
• Mentor junior engineers; drive continuous improvement and knowledge sharing across the team.
• Participate in agile ceremonies, sprint planning, and stakeholder demos.
• Implement logging, monitoring, and alerting for data pipelines and applications using tools like Prometheus, Grafana, or Azure Monitor.
• Troubleshoot and resolve production incidents; conduct postmortems to drive reliability improvements.
• Document architecture, runbooks, and development standards.

Benefits

• Competitive base salary and incentive compensation
• Health and welfare benefits including a gym reimbursement program
• 401(k) savings plan match
• Employee Stock Purchase Plan
• Pre-tax commuter benefits
• Living Donor Employee Recovery Policy allowing up to 30 days of paid leave annually for organ or bone marrow donation

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Chemical Manufacturing
• Education Level: Bachelor's degree
• Number of Employees: 501-1,000 employees