# Senior Data Engineer at Care Access

> Remote · United States · Senior · Data engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Acareaccess%3A4473865009 (read 2026-11-12).

## Facts (observed)

- Company: [Care Access](https://alderhq.app/companies/care-access)
- Location text: USA Remote; USA Remote
- Where it can be done from (inferred): Remote · United States (evidence: "Remote role open worldwide")
- Posted: 2026-10-30 (13 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-12
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/careaccess/jobs/4473865009
- Skills listed (inferred): Azure, Airflow, dbt, SQL

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (United States, n 180): p25 $158k, median $184k, p75 $203k

## Description (the employer's text)

### 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

The Senior Data Engineer is responsible for designing, developing, implementing, and maintaining scalable data pipelines and enterprise data solutions that support the organization's operational, analytical, and reporting needs. This position oversees the ingestion, transformation, integration, and delivery of complex data from multiple sources to ensure the availability, reliability, and integrity of enterprise data assets. The Senior Data Engineer collaborates with cross-functional stakeholders to develop modern data architectures, optimize data processing workflows, and enhance platform performance using industry best practices and cloud-based technologies. This role provides technical leadership in advancing the organization's data infrastructure, supporting data governance initiatives, and delivering high-quality data solutions that enable informed business decision-making.

### 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.
### Continuous Improvement

- Proactively suggest improvements to infrastructure, processes, and automation to improve system efficiency, reduce costs, and enhance performance.
### The Expertise Required

- 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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Acareaccess%3A4473865009 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.