Data Engineer

Job description

Strong Analytics is seeking a data engineer to collaborate with our team building and managing ETL pipelines, embedding statistical algorithms in robust applications, and deploying machine learning applications to the cloud.


This role requires high-level Python programming, high-level SQL, experience deploying applications to AWS, and experience in distributed data processing (e.g., Hadoop, Spark, Hive).


We offer a comprehensive compensation package, including:

  • Competitive salary
  • Profit sharing or equity, based on experience
  • Health insurance
  • Four weeks paid vacation
  • Work-from-Home Wednesdays

Requirements

Candidates will be evaluated based on their skills with the following technologies/workflows:

  • Python
  • SQL
  • Relational Databases (e.g., Postgres, MySQL)
  • Distributed Computation (e.g., Spark, Hive, Hadoop)
  • Deploying and Managing Cloud Services (we use AWS/Azure)
  • Interacting with and building RESTful APIs
  • Git

All applicants will be considered based on their experience and demonstrated skill/aptitude, not formal education.


Applicants should have the ability to travel infrequently (<5% of your time) for team meetings, conferences, and occasional client site visits.