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Data Engineer

  • Contribute to the design and development of our proprietary feature store solution.
  • Design, develop, and maintain scalable data pipelines.
  • Develop data ingestion and integration processes.
  • Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda, et cetera.
  • Incorporate standards and best practices into engineering solutions.
  • Working closely with the CTO and being an integral part of our team; in shaping our culture and how we work.
  • Work with modern tools and languages that excite you.
Apply for this position
R&D > Philadelphia/Remote > Full-Time
JOB DESCRIPTION
WHAT YOU WILL DO
WHO WE ARE LOOKING FOR
BONUS POINTS

Wish to work in a very high impact profession, wherein you can continue saving lives as part of your legacy? Clineage is a clinical trial platform, with the aim of making drug development cheaper, faster, and more successful - and we are looking for our key member to lead the development and implementation of our data strategy, and to work alongside our AI R&D and analytics team.

The position is remote. We offer a clear path for career progression based on your personal ambitions and interests. This role opens up the door for an eventual director or VP role, with ownership in the company. We prioritise individuals who intend to stay for the long run.

  • Good understanding of database architecture and best practices.
  • Expertise building real-time or batch data pipelines (Hadoop, Spark, Kafka, Hive, Flink, etc.)
  • Demonstrated strength in data modelling, ETL development, and data warehousing.
  • Experience in working and delivering end-to-end projects independently.
  • Strong coding ability in Python, Java, or Scala.
  • Expertise in writing and optimizing SQL queries.
  • Great communication and listening skills in English.
  • Experience with MySQL, Postgres, Cassandra, Redis, Redshift, OracleDB or MongoDB.
  • Experience working with features stores (Hopsworks, Feast).
  • Familiarity with MLOps (Kubeflow, TFX, Michelangelo).
  • Interested and curious about the pharmaceutical industry.
  • Interested in artificial intelligence and emerging technologies.
  • Leadership qualities.

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