Senior Data Engineer

What You'll Be Working On (Duties include but not limited to):

• 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. 

Scope of Role:

• Autonomy of Role: ​Work is performed under limited supervision​ 
• Direct Reports: ​No​ 

Physical Requirements:

• 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 Requirements:

• This is a remote position with less than 10% travel requirements. Occasional planned travel may be required as part of the role.  

What You Bring (Knowledge, Skills, and Abilities):

• 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, 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.  

Benefits (US Full-Time Employees Only):

• 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