Software Engineer/Data Platform

OmegaHiresSouth San Francisco, CA
1d

About The Position

As a Software Engineer on the Data Platform team, you will support Machine Learning’s efforts to train in-house models via custom data pipeline development, directly contribute to product development through in-app dashboarding, and enable Analytics and Data Science efforts by developing core Data Platform infrastructure and tooling

Requirements

  • BS in Computer Science/Software Engineering, or similar
  • 3+ years of software engineering or data engineering experience
  • Professional experience in Python and SQL
  • Cloud computing experience (AWS preferably)
  • Demonstrable knowledge of software development fundamentals and experience across the software development lifecycle
  • A delivery focused mindset

Nice To Haves

  • Data platforms, data pipelines, or comparable services
  • Data Warehousing (Amazon Redshift preferably)
  • Scheduling/orchestration technologies such as Prefect or Airflow
  • Kubernetes
  • BI tools (Tableau/Looker/Quicksight/SuperSet etc)

Responsibilities

  • Work with a tech stack including but not limited to: Python, Postgres, Redshift, Prefect, Kubernetes, Grafana, and various additional AWS services such as SQS and Cloudwatch
  • Build new and maintain existing data pipelines to support Machine Learning model training and scalable customer deployments
  • Support Analytics and Data Science initiatives via building and maintaining core Data Platform infrastructure and tooling
  • Contribute directly to product development via maintaining in-app dashboarding infrastructure
  • Explore new technologies and grow your technical skillset
  • A passion and excitement about healthcare’s unique challenges and opportunities.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service