About Care Access

Care Access is working to make the future of health better for all. With hundreds of research locations, mobile clinics, and clinicians across the globe, we bring world-class research and health services directly to communities that often face barriers to care. We are dedicated to ensuring that every person has the opportunity to understand their health, access the care they need, and contribute to the medical breakthroughs of tomorrow.

With programs like Future of Medicine, which makes advanced health screenings and research opportunities accessible to communities worldwide, and Difference Makers, which supports local leaders to expand their community health and wellbeing efforts, we put people at the heart of medical progress. Through partnerships, technology, and perseverance, we are reimagining how clinical research and health services reach the world. Together, we are building a future of health that is better and more accessible for all.

To learn more about Care Access, visit www.CareAccess.com.

How This Role Makes a Difference

We are seeking an experienced and detail-oriented professional to join our team as a Senior Data Engineer. In this pivotal role, you will be responsible for designing, developing, and maintaining robust data pipelines that ensure the reliable ingestion, transformation, and delivery of complex data (demographics, medical, financial, marketing, etc.) across systems. The ideal candidate will bring deep expertise in Databricks, SQL, and modern data engineering practices, along with strong collaboration skills to help drive excellence across our data infrastructure.

How You'll Make An Impact

Data Engineering Strategy and Architecture: 
- 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. 
Data Infrastructure and Performance Optimization: 
- 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. 
Collaboration and Stakeholder Engagement: 
- 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
Technology and Tools: 
- 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. 
Other Responsibilities:
- Continuous Improvement: Proactively suggest improvements to infrastructure, processes, and automation to improve system efficiency, reduce costs, and enhance performance.

The Expertise 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.

Certifications/Licenses, Education, and Experience:

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.

How We Work Together

Location: This role requires 100% of work to be performed in a remote office environment and requires the ability to use keyboards and other computer equipment.
Travel: This is a remote position with less than 10% travel requirements. Occasional planned travel may be required as part of the role.

The expected salary range for this role is $120,000-$160,000 USD per year for full time team members.

Benefits & Perks (US Full Time Employees)

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

Diversity & Inclusion

We work with and serve people from diverse cultures and communities around the world. We are stronger and better when we build a team representing the communities we support. We maintain an inclusive culture where people from a broad range of backgrounds feel valued and respected as they contribute to our mission.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to, and will not be discriminated against on the basis of, race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Care Access is unable to sponsor work visas at this time.

If you need an accommodation to apply for a role with Care Access, please reach out to: TalentAcquisition@careaccess.com