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Data Engineer- TI1004-2

Vancouver(remote), BC
We’re looking for a Data Engineer to support the development and operation of our electronic medical record ETL jobs on the Palantir Foundry platform. This role is pivotal in supporting the accessibility and exchange of interoperable healthcare data, including standards like FHIR,
enabling advanced analytics that drive insights and improvements in healthcare delivery.

We deeply value curiosity and continuous learning. We provide a nurturing
environment that fosters your professional growth in cloud data engineering and operations. By joining our team, you will collaborate with passionate specialists and contribute to meaningful projects that have a lasting impact in the health tech space, all while developing your skills and expertise.

Key Responsibilities

● Monitor, troubleshoot, and resolve issues within the Palantir Foundry platform, ensuring high availability, performance, and security.
● Implement and manage PySpark data pipelines ensuring scalable, secure
environments with high availability.
● Advocate for and implement best practices in data security and compliance, adhering to healthcare industry standards and regulations.
● Collaborate with the data architecture team to maintain and enhance integrations between Palantir Foundry and AWS cloud infrastructure.

Core Qualifications

● Exceptional problem-solving abilities and a detail-oriented approach to managing
complex data engineering tasks.
● Excellent communication skills, capable of collaborating effectively across
multidisciplinary teams.

● Experience with kafka streaming, flink SQL, and HL7 FHIR; and has experience with large scale data delivery to data consumers
● Strong background working with PySpark and SQL, able to troubleshoot issues and
optimize transforms to ensure data integrity and scalability.
● Adaptability and a keenness to learn new technologies and tools, with a willingness to
grow into roles that may involve more direct work on data pipelines.
Great to Have
● Experience with data lake technologies, including table formats (e.g., Iceberg, Hudi,
Delta Lake) and AWS Lake Formation, is highly valued.
● Interest in or experience with streaming technologies (e.g., Apache Flink, Google Cloud Dataflow/Beam), to support future contributions to real-time data processing
● Understanding of the FHIR standard and experience with healthcare data
management, which would be beneficial in ensuring compliance and effectiveness of data solutions within the healthcare domain.

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