About the role

  • Builds front-end and back-end infrastructure for the firm’s in-house enterprise data platform.
  • Explores, enables, and documents new technologies.
  • Supports client teams with different data needs.
  • Deploys for new clients and supports existing clients.
  • Develops backend datasets for dashboards and supports the front-end.

Requirements

  • At least 5 years’ experience in data engineering using Python, including the use of pandas or PySpark.
  • Experience working with Databricks extensively.
  • Software development fundamentals, including Agile development, version control systems such as Git or DevOps.
  • Experience configuring Azure AD/SAML/Okta/Oath and administering AWS or Azure security best practices.
  • Experience with WYSIWYG ETL tools preferred.
  • Container orchestration systems experience using Docker, Kubernetes, AWS ECS preferred.
  • At least 6 months of experience in web application development using Flask, Django, JavaScript, Ajax, or CSS/HTML preferred.
  • Candidates holding a recognized data engineering certification are preferred.
  • Proficiency using Microsoft Office products.
  • Life Sciences industry experience preferred.

Benefits

  • Health insurance
  • Flexible work arrangements
  • Professional development

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job