Senior Data Engineer

Who is DexCare?DexCare optimizes time in healthcare, streamlining patient access, reducing waits, and enhancing overall experiences. Guided by our mission – Nobody waits for care – DexCare addresses tech gaps by aligning supply and demand to modernize healthcare infrastructures for an inclusive ecosystem. We are equally committed to our DEIB mission: Creating an inclusive workplace where diversity drives innovation, equity ensures fairness, and belonging strengthens collaboration, enabling everyone to thrive.  What is DexCare? DexCare, a digital care orchestration platform, streamlines care delivery logistics. It empowers healthcare systems to predict constraints and precisely schedule services, optimizecapacity, and cuts operational costs. Currently serving 57 million patients, including Kaiser Permanente and Providence, DexCare ushers in a new era of digital-care access, ensuring health systems can efficiently track and deliver every hour of capacity for consumer ease. 
For more information, visit www.dexcare.com or follow us on LinkedIn. 
About the Role DexCare is looking for a Senior Data Engineer to join the team! The Senior Data Engineer will report directly to VP of Data Science and be responsible for development of DexCare’s data services that support data dashboards and intelligent services. 

What You’ll Do:

• Design, develop, and implement end-to-end data pipelines to support data collection, processing, and transformation from various sources into usable formats.
• Lead the architecture and development of data solutions that are scalable, efficient, and maintainable, ensuring high-quality code, documentation, and adherence to best practices.
• Optimize data pipelines for performance, reliability, and scalability, and troubleshoot issues as they arise in collaboration with the operations team.
• Collaborate with data scientists and analysts to understand their data requirements, provide clean and accessible data, and assist in building data models and algorithms.
• Work closely with cross-functional teams to gather and refine data requirements, ensuring data integrity and accuracy throughout the entire data lifecycle.
• Stay up to date with the latest technologies, trends, and best practices in data engineering and analytics, and recommend relevant tools and technologies to enhance the company's data capabilities.
• Mentor and provide technical guidance to junior members of the data engineering team, fostering skill development and growth.
• Participate in code reviews, design discussions, and contribute to improving the overall data engineering processes and practices within the organization.
• Participate in on-call rotation
• Design, develop, and implement end-to-end data pipelines to support data collection, processing, and transformation from various sources into usable formats.
• Lead the architecture and development of data solutions that are scalable, efficient, and maintainable, ensuring high-quality code, documentation, and adherence to best practices.
• Optimize data pipelines for performance, reliability, and scalability, and troubleshoot issues as they arise in collaboration with the operations team.
• Collaborate with data scientists and analysts to understand their data requirements, provide clean and accessible data, and assist in building data models and algorithms.
• ·Work closely with cross-functional teams to gather and refine data requirements, ensuring data integrity and accuracy throughout the entire data lifecycle.
• Stay up to date with the latest technologies, trends, and best practices in data engineering and analytics, and recommend relevant tools and technologies to enhance the company's data capabilities.
• Mentor and provide technical guidance to junior members of the data engineering team, fostering skill development and growth.
• Participate in code reviews, design discussions, and contribute to improving the overall data engineering processes and practices within the organization.
• Participate in on-call rotation

What You'll Bring:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 
• Proven experience (6-7+ years) working as a Data Engineer, with a focus on designing and implementing data pipelines, ETL processes, and data warehousing solutions. 
• Strong programming skills in languages like Python, Java, Scala, or similar, with experience in using data engineering frameworks and libraries. 
• Expertise in working with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). 
• Hands-on experience with