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