Senior Data Engineer

Location: New York, NY 10014

*** Mention DataYoshi when applying ***

Company Description

Publicis Media is one of the four solutions hubs of Publicis Groupe ([Euronext Paris FR0000130577, CAC 40], alongside Publicis Communications, Publicis.Sapient and Publicis Healthcare. Led by Steve King, CEO, Publicis Media is comprised of Starcom, Zenith, Digitas, Spark Foundry, and Performics, powered by digital-first, data-driven global practices that together deliver client value and business transformation. Publicis Media is committed to helping its clients navigate the modern media landscape and is present in more than 100 countries with over 23,500 employees worldwide.

Publicis Media Exchange (PMX) delivers sustainable, transparent, competitive advantage to Publicis Media clients and agencies. This is done through the consolidated strength of our agencies, deep understanding of our client drivers, leveraging scaled investment, marketplace innovation, strength in partnerships and intelligence.

Trust is the cornerstone upon which we build our relationships. We hold ourselves to the highest standards of how a partner should behave.
We treat our people and our clients with respect, transparency and honesty.

This is first and foremost a people business. We are committed to ensuring Publicis Media a destination for the best talent in our industry. We value people as individuals, growing ourselves as we grow our client’s business.

True transformation comes when we stop managing change, and instead initiate change. We believe in our purpose to be the admired force for business transformation. We believe that focusing on performance and results has the power to transform client business.

Job Description

PMX is looking for a talented Sr. Data Engineer for an exciting opportunity on the Decisioning team. You would be involved with designing a new workflow for data science and analytics. Candidates considered based on their ability to productionize highly parallelized scripts related to solutions anticipating behavior and deriving insights from big data. As well as their ability to manage research projects resulting in real world project and data pipelines that support data products.


  • Design, implement and maintain high performance data infrastructure/systems, data processing pipelines (ETL management, Luigi, Airflow)
  • Back-end and front-end web development
  • Work with Ops for AWS infrastructure optimization/tuning
  • Work with team to design and develop APIs
  • Productionize and maintain PySpark code base
  • Work with data scientists on bug fixes, client enhancement requests and code optimization
  • Write PySpark/Scala applications for data processing and engineering
  • Productionize scalable and distributed scripts techniques across a variety of big data
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Ability to research and deploy new evolving technologies
  • To enjoy being challenged and solve complex problems on a daily basis
  • Excellent oral and written communication skills
  • Ability to work in teams and collaborate across multiple teams
  • Communicate concisely and persuasively with engineers and product managers

  • Bachelors Degree in Computer Science/Engineering/Data Science
  • Experience with Python and/or Scala
  • Experience with docker containers

Additional Information

All your information will be kept confidential according to EEO guidelines.

*** Mention DataYoshi when applying ***

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