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Principal Data Engineer

Transcarent

Transcarent

Data Science
United States · Remote
Posted on Sep 2, 2024

Who we are

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.

At Transcarent, you will be part of a world-class team, supported by top tier investors like 7wireVentures and General Catalyst, and founded by a mission-driven team committed to transforming the health and care experience for all. In May 2024, we closed our Series D with $126 million, propelling our total funding to $450 million and fueling accelerated AI capabilities and strategic growth opportunities.

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.