Sr. Data Engineer

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Overview:

tronc is a media company rooted in award-winning journalism. tronc draws content from its vast media portfolio, where a commitment to informing and inspiring communities has earned 94 Pulitzer Prizes and a monthly audience of 60 million. From pixels to Pulitzers, tronc brands optimize content and create engaging experiences for audiences across all channels.

 

We are looking for a senior data engineer to join the AI & Data Solutions Team at tronc, Inc. in our Chicago office. The team’s mission is to build solutions powered by data and machine learning to increase the value of existing digital assets and build new products and businesses that can take advantage of tronc’s data and business model.

 

As a Senior Data Engineer with our AI & Data Solutions team, you'll spend your time helping us design and build an AI platform to move, manipulate, and extract value from our data across distributed systems at an ever-increasing scale. This platform will support machine learning models for multiple businesses, products, and assets separate from tronc’s core media properties but that rely much of tronc’s content and audience data.  You'll manage a data engineering team and work closely with Data Scientists to help uncover and build data features that power machine learning models and to find new datasets to bring into the platform. You'll also contribute to designing and discovering new best-practices in our rapidly expanding field.

Responsibilities:
  • Designing and building an AI and data platform to help us deploy data- and machine learning-driven solutions across different businesses
  • Testing new technologies and architectures to us find the best ways to work with our unique data sets
  • Leading a nascent data engineering team to work with product managers, data scientists, and developers to enable modern data solutions
Qualifications:
  • 3+ years implementing big data solutions in industry on a cloud platform, preferably AWS
  • Proven ability to develop pipelines that can serve machine learning models that solve business problems
  • Strong understanding of modern data architectures and big data solution architectures
  • Proficient in SQL, *nix CLI tools (grep/sed/awk/BASH, etc), and Python
  • Familiarity with Java and an understanding of the JVM ecosystem
  • Familiarity with tools like Docker, Kafka, Cassandra, Spark, etc
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Location

160 N. Stetson Ave , Chicago, IL 60601

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