Principal Data Engineer

Who we are  

Transcarent and Accolade have come together to create the One Place for Health and Care, the leading personalized health and care experience that delivers unmatched choice, quality, and outcomes. Transcarent’s AI-powered WayFinding, comprehensive Care Experiences – Cancer Care, Surgery Care, Weight – and Pharmacy Benefits offerings combined with Accolade’s health advocacy, expert medical opinion, and primary care, allows us to meet people wherever they are on their health and care journey. Together, more than 20 million people have access to the combined company’s offerings. Employers, health plans, and leading point solutions rely on us to provide trusted information, increase access, and deliver care.

We are looking for teammates to join us in building our company, culture, and Member experience who:  

• Put people first, and make decisions with the Member’s best interests in mind 
• Are active learners, constantly looking to improve and grow 
• Are driven by our mission to measurably improve health and care each day 
• Bring the energy needed to transform health and care, and move and adapt rapidly 
• Are laser focused on delivering results for Members, and proactively problem solving to get there 

What you’ll do  

• 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. 

What we’re looking for:  

• 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. 

Nice to have: 

• Preferred tech stack: 
  • Data Platforms: Experience with building Data-as-a-Service platforms and API development. 
  • Programming Languages: Proficient in object-oriented scripting languages such as Python, Java, C++, Scala, etc. 
  • Big Data Tools: Expertise with tools like Spark, Kafka, and stream-processing systems like Storm or Spark-Streaming. 
  • Cloud Services: In-depth experience with AWS services (EC2, EMR, RDS, Redshift) and workflow management tools like Airflow. 

As a remote pos