Principal Data Engineer

Transcarent is the One Place for Health and Care. We cut through complexity, making it easy for people to access high-quality, affordable health and care. We create a personalized experience tailored for each Member, including an on-demand care team, and a connected ecosystem of high-quality, in-person care and virtual point solutions. Transcarent eliminates the guesswork and empowers Members to make better decisions about their health and care.

Transcarent is aligned with those who pay for healthcare and takes accountability for results – offering at-risk pricing models and transparent impact reporting to ensure incentives support a measurably better experience, better health, and lower costs.

Lead the Design and Implementation: Using modern data architecture principles, architect and implement cutting-edge data processing platforms and enterprise-wide data solutions.
Scale Data Platform: Develop a scalable Platform for optimal data extraction, transformation, and loading from various sources, ensuring data integrity and accessibility.
AI / ML platform: Design and build scalable AI and ML platforms to support Transcarent use cases.
Collaborate Across Teams: Partner with Executive, Product, Clinical, Data, and Design teams to meet their data infrastructure needs, supporting them with technical expertise.
Optimize Data Pipelines: Build and optimize complex data pipelines, ensuring high performance, reliability, and scalability.
Innovate and Automate: Create and maintain data tools and pipelines that empower analytics, data science, and other teams to drive innovation and operational excellence.
Mentor and Lead: Provide technical leadership and mentorship to the data engineering team, fostering a culture of continuous learning and improvement.

Experienced: 10+ years of experience in data engineering with a strong background in building and scaling data architectures in complex environments. Healthcare experience is a plus.
Technical Expertise: Advanced working knowledge of SQL, relational databases, and big data tools (e.g., Spark, Kafka). Proficient in cloud-based data warehousing (e.g., Snowflake) and cloud services (e.g., AWS). Proficient in understanding of AI / ML workflows, etc.,
Architectural Visionary: Demonstrated experience in service-oriented and event-based architecture with strong API development skills.
Problem Solver: Ability to manage and optimize processes supporting data transformation, metadata management, and workload management.
Collaborative Leader: Strong communication skills with the ability to present ideas clearly and lead cross-functional teams effectively.
Project Management: Strong project management and organizational skills, capable of leading multiple projects simultaneously.