Data Engineer at Strong Analytics

| Chicago
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Complete our online application form at: https://careers.strong.io/o/data-engineer
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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).

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)
  • 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.

What We Offer

  • Competitive salary
  • Profit sharing or equity, based on experience
  • Health insurance
  • Generous vacation policy
  • Flexible work-from-home policy
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Complete our online application form at: https://careers.strong.io/o/data-engineer
Apply now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.

Location

330 N Wabash, Chicago, IL 60611
Complete our online application form at: https://careers.strong.io/o/data-engineer
Apply now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.
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