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Transcarent

Principal Data Engineer

Job Posted 22 Days Ago Reposted 22 Days Ago
Remote
Hiring Remotely in US
210K-220K Annually
Expert/Leader
Remote
Hiring Remotely in US
210K-220K Annually
Expert/Leader
Lead the design and implementation of data processing platforms, optimize data pipelines, mentor data engineering teams, and support cross-functional collaboration.
The summary above was generated by AI

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 position, the salary range for this role is:
$210,000$220,000 USD

Total Rewards 

Individual compensation packages are based on a few different factors unique to each candidate, including primary work location and an evaluation of a candidate’s skills, experience, market demands, and internal equity.  

Salary is just one component of Transcarent's total package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock options.  

Our benefits and perks programs include, but are not limited to:  

  • Competitive medical, dental, and vision coverage  
  • Competitive 401(k) Plan with a generous company match  
  • Flexible Time Off/Paid Time Off, 12 paid holidays  
  • Protection Plans including Life Insurance, Disability Insurance, and Supplemental Insurance 
  • Mental Health and Wellness benefits  

Location  

You must be authorized to work in the United States. Depending on the position we may have a preference to a specific location, but are generally open to remote work anywhere in the US.  

Transcarent is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you are a person with a disability and require assistance during the application process, please don’t hesitate to reach out!  

Research shows that candidates from underrepresented backgrounds often don’t apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren’t looking for someone who checks each box on a page; we’re looking for active learners and people who care about disrupting the current health and care with their unique experiences. 

 

Top Skills

AWS
C++
Java
Kafka
Python
Scala
Snowflake
Spark
SQL

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