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Data Engineer with YinzCam, Inc. in Pittsburgh · PA

YinzCam, Inc. jobs
Sports Jobs in Pittsburgh · PA
Marketing: Database Marketing/Analytics
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We are looking for a Data Engineer to organize, manage, query, analyze terabytes of data from multiple different digital sources (mobile apps, websites, sensors). The ideal candidate has a passion for delving into data to help drive decision making in real-time for 180+ sports properties around the world.

We are a 24/7/365 global sports entity, so a solid understanding and love of sports is highly recommended.

We are looking for someone who...

  • Thinks nothing is impossible
  • Is a tinkerer and implementor of big-data systems
  • Has a knack for data visualization to derive insights
  • Is equally comfortable with database systems and machine-learning algorithms

What you will be doing...

  • Running analyses on terabytes of data that arise from digital assets
  • Applying machine-learning algorithms on data sets in order to cluster and segment them
  • Providing insights from the data, to understand user behavior, predict user behavior, identify anomalies, and identify patterns
  • Building, maintaining, and refining data dashboards
  • Driving new product development based on insights from the data

Be our MVP if you have...

  • 2 years+ of machine-learning experience with giant data-sets
  • 2 years+ of experience in data visualization techniques and best practices
  • 2 years+ of experience in working with Hadoop, Hive, Spark, and other big-data platforms
  • 2 years+ of experience with SQL, relational databases, NoSQL databases, including Postgres and Cassandra
  • 2 years+ of experience with Google Analytics, Firebase
  • 2 years+ of experience with AWS cloud services, such as EC2, EMR, RDS, Redshift
  • 2 years+ of experience in Java/C++/Python programming
  • Expert programmer and tinkerer, comfortable around operating systems, cloud computing, network protocols
  • Willingness to work in a high energy, fast-paced environment
  • Strong desire to learn and grow career
  • Degree in Computer Science/Engineering, with a heavy focus on machine-learning, data science, data engineering.

Job Questions:

  1. How did you hear about this job?

  2. What experience do you have with machine-learning algorithms?

  3. What experience do you have data visualization and dashboards?

  4. What is the largest-size data-set that you have analyzed?

Apply with MVP Access
Want to increase your chances of getting hired?

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