Care Access · 12 hours ago
Senior Data Engineer
Care Access is dedicated to improving health services and research accessibility for communities facing barriers to care. They are seeking a Senior Data Engineer to design, develop, and maintain data pipelines that ensure the reliable ingestion, transformation, and delivery of complex data across systems.
Clinical TrialsHealth Care
Responsibilities
Design and implement scalable, reliable, and efficient data pipelines to support clinical, operational, and business needs
Develop and maintain architecture standards, reusable frameworks, and best practices across data engineering workflows
Build automated systems for data ingestion, transformation, and orchestration leveraging cloud-native and open-source tools
Optimize data storage and processing in data lakes and cloud data warehouses (Azure, Databricks)
Develop and monitor batch and streaming data processes to ensure data accuracy, consistency, and timeliness
Maintain documentation and lineage tracking across datasets and pipelines to support transparency and governance
Work cross-functionally with analysts, data scientists, software engineers, and business stakeholders to understand data requirements and deliver fit-for-purpose data solutions
Review and refine work completed by other team members, ensuring quality and performance standards are met
Provide technical mentorship to junior team members and collaborate with contractors and third-party vendors to extend engineering capacity
Use Databricks, DBT, Azure Data Factory, and SQL to architect and deploy robust data engineering solutions
Integrate APIs, structured/unstructured data sources, and third-party systems into centralized data platforms
Evaluate and implement new technologies to enhance the scalability, observability, and automation of data operations
Proactively suggest improvements to infrastructure, processes, and automation to improve system efficiency, reduce costs, and enhance performance
Qualification
Required
Strong expertise in Databricks, SQL, dbt, Python, and cloud data ecosystems such as Azure
Experience working with structured and semi-structured data from diverse domains
Familiarity with CI/CD pipelines, orchestration tools (e.g., Airflow, Azure Data Factory), and modern software engineering practices
Strong analytical and problem-solving skills, with the ability to address complex data challenges and drive toward scalable solutions
Bachelor's or master's degree in computer science, Information Systems, Engineering, or a related field
5+ years of experience in data engineering with a proven track record of building cloud-based, production-grade data pipelines
Benefits
Paid Time Off (PTO) and Company Paid Holidays
100% Employer paid medical, dental, and vision insurance plan options
Health Savings Account and Flexible Spending Accounts
Bi-weekly HSA employer contribution
Company paid Short-Term Disability and Long-Term Disability
401(k) Retirement Plan, with Company Match
Company
Care Access
Care Access helps people learn more about their health and participate in clinical research to help find new medicines and cures.
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
Biomedical Advanced Research and Development Authority (BARDA)
2024-08-26Grant
Recent News
2026-01-23
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