busquedasIT
DATA ENGINEER - 100% REMOTE
SUSPENDED

Confidential REF: #1546


Global digital consultancy with deep platform and custom product engineering experience. The Company offers best-in-class digital engineering services to help you succeed in today's fast-past business environment. With our global reach, industry focus, and deep software expertise, we are fully committed to delivering exceptional business results, regardless of project scale or complexity.

You're a kind, passionate and collaborative problem-solver who is laser-focused on ontime delivery andcalm under pressure. In addition, you’re an empathetic communicator with 4+ years of experiencemanaging data pipelines or working on data intensive software applications.

Job Responsibilities

  • Create ETL pipelines in code and link them up to internal tooling
  • Monitor CI/CD processes to ensure ETL pipelines continue to run smoothly
  • Coordinate with clinical data analysts to queue patient-based data extraction
  • Collaborate with clinical data analysts to ensure the data meets quality standards
  • Handle ad-hoc requests from CSS folks about the patient-level data
  • Package and deliver the outputs of ETL pipelines to AWS S3 for client access
  • Context switch between multiple ETL pipelines and CSS stakeholders
  • Make recommendations on code and process efficiency improvements
  • Make decisions about which drugs/diseases to target
  • Submit evidence as part of FDA filings for approvals
  • Publish research papers (on which you may appear as co-author

  • You have experience with Python 3.9+
  • You have experience with SQL (any variety / Postgres preferred)
  • You collaborate effectively with other engineers through the use of Git and merge requests (or similar version control tools)
  • You have experience with at least one ETL tool
  • You are comfortable introspecting data to debug ETL pipelines
  • You communicate effectively with non-technical stakeholders
  • You enter into discussions with curiosity and an urge to Do the Right Thing
  • You are familiar with data engineering best practices
  • You have a proven record of identifying inefficiencies in code or processes and proposing or working with others toward solutions

  • 100% remote position
  • PTO
  • Training programs

 

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