Data Engineer

  • Type: Temp
  • Job #10962

The Goal is looking for a Data Engineer to support a large Entertainment client remotely. 

We are seeking an experienced, motivated & self-driven professional with applied experience in machine learning productionalization, preferably with experience in regression, prediction, optimization & yield management to work on development & maintenance of a dynamic pricing product suite.

As a Data Engineer, you will be a part of developing & building new pricing optimization products within the sports & live entertainment space. 


  • Design, develop, test, implement & support data pipelines from conception into production
  • Machine Learning algorithm implementation & deployment. You should ideally know what scikit-learn is and how to pull a classifier from it.
  • Assist in developing supporting frameworks for model deployment and monitoring.
  • Work on uplifting a legacy matlab codebase towards more modern development methods.
  • Collaborate with team members & other data scientists to develop our methods & intellectual property.
  • Work with cross functional teams to identify the best technical solution & ensure the solution conforms to best practices. 
  • Help develop processes & technology with the goal of reducing cycle time for simulation & optimization projects.


  • Bachelor's degree in Computer Science or equivalent work experience.
  • Experience with Python to program, manipulate & analyze data.
  • Experience with data pipelines and tools such as spark, hadoop or flink.
  • Experience with ML deployment pipelines, how to ship models and monitor the success will be key.
  • Experience writing SQL queries, working with SQL databases (e.g. MySQL).
  • Experience with Java and or Matlab would be an advantage, but is not essential.
  • Experience in developing demand forecasting, pricing models & revenue management algorithms, preferably in entertainment space is preferred. Experienced candidates from travel, adtech or revenue management are encouraged to apply. 
  • Proficiency with statistical and numerical packages such as Pandas, scikit-learn, TensorFlow, Keras, PyTorch is preferred.
  • Experience with AWS tools, Business Intelligence & Data Mining Applications is also helpful.
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