We are looking for a Data Engineer to join the data science and engineering team at tronc.  The team’s mission is to build data solutions to serve the broad set of digital properties owned by tronc including brands like the LA Times, Chicago Tribune, Baltimore Sun, and 150 other publications with around 65 million unique visitors every month.

As a Data Engineer at tronc, you'll spend your time helping us learn how to move, manipulate, and extract value from our data across distributed systems at an ever-increasing scale.  You'll work closely with Data Scientists to help uncover and build data features that power machine learning models and learn hard-won techniques for avoiding trouble from our experienced team.  You'll also contribute to designing and discovering new best-practices in our rapidly expanding field.

Responsibilities

●     Write and optimize scripts to transform and aggregate data fast

●     Build automation systems to help us operate more quickly and cost-effectively

●     Testing new technologies and architectures to us find the best ways to work with our unique data sets

●     Develop processes and techniques for practicing good “data hygiene” to ensure our data is always up-to-date, accurate, and stored efficiently

Desired Skills

●     Proficient in SQL

●     Experience with *nix CLI data tools (grep/sed/awk/BASH, etc)

●     Basic Proficiency in Python

●     Source Code Management (pref. Git)

Nice to Haves

●     AWS, especially EC2, S3, and Redshift.

●     Docker

●     Ansible

●     Cassandra

●     Apache Spark or H2o

●     Kafka, Kinesis or Flume

●     Java or Scala or Groovy; i.e., knowledge of the JVM Ecosystem

●     Experience in data analytics, business intelligence, or data science

●     Experience with NLP

If you have all the “Desired Skills” and mastery of at least one of the “Nice to Haves,” then we want to talk to you!