Strong Analytics is seeking an application and data engineer to collaborate with our team on developing machine learning andExtract-Transform-Load (ETL) data pipelines, building RESTful APIsto trained statistical models, anddeploying real-time streaming applications for continuous data processing.

This roleis focused on applying and embedding machine learning solutions crafted by our team of PhD-trained data scientists. As such, it does not require deep expertise in machine learning or statistics, but rathera broad expertise in ingesting, storing, and analyzing data at scale.

To be eligible for this role, it is expected that you have experience:

• Building and deploying Python applications to cloud-based infrastructures (e.g., AWS).

• Writing complex SQL queries for a variety of data stores (e.g., Postgres, MySQL, Redshift).

• Deploying (not necessarily designing/testing) machine learning pipelines and statistical models using one or more libraries, such as Tensorflow, Keras, PyTorch, scikit-learn, or XGBoost.

• Designing distributed applications that use workers and queues to manage asynchronous tasks.

• Designing and building RESTful APIs.

• Managing *nix servers via the terminal.

• Managing and monitoring scheduled/batch jobs.

• Writing unit tests.

• Usingcontinuous integration.

• Collaborating via Git.

Ideally, you would also have experience (or an aptitude to learn about):

• BuildingApache Spark applications to analyze and learn from data at scale.

• Building and deploying streaming applications (e.g., Spark Streaming, Akka Streams).

• Deploying applications powered by Hadoop and/or other services provided by AWS EMR.

You do not need a PhD (or any formal education, for that matter) for this role. Applicants will be evaluated first-and-foremost on their experience and skill in the areas described above.

You should have the ability to travel infrequently (<5% of your time) for team meetups and conferences.

Remote or On-Site

This position offers 100% remote work for candidates outside the Chicago area with exceptional communication and remote collaboration skills. Candidates in the Chicago area who can work in-person with our team are preferred.

What We Offer

• Competitive salary

• Profit sharing or equity, based on experience

• Health insurance

• Generous vacation policy

• Flexible work-from-homepolicy

• Company-issued MacBook Pro’s