Senior Data Engineer

Summary

Join Care Access as a Sr. Data Engineer and design, develop, and maintain robust data pipelines for various data types. You will optimize data storage and processing, collaborate with cross-functional teams, and mentor junior team members. Leverage your expertise in Databricks, SQL, and Azure to build scalable and efficient data solutions. The role requires a Bachelor's or Master's degree in a related field and 5+ years of experience in data engineering. This is a remote position with less than 10% travel.

Requirements

• 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

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

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