Senior Data Engineer

Overview

Design, build and maintain scalable, production-grade data pipelines and enterprise data solutions that support Care Access's operational, analytical and reporting needs, providing technical leadership on the organization's data infrastructure.

What you'll do

• 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 and 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.

What you'll need

• 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.
• 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.

Details

• Location: Remote within the United States; 100% of work performed in a remote office environment.
• Travel: Less than 10%; occasional planned travel may be required.
• Physical demands: Ability to use keyboards and other computer equipment.
• Employment type: Full time.
• Care Access is unable to sponsor work visas at this time.