Data Engineer

A New York City based start-up is seeking a Data Engineer to join their growing team. They utilize machine learning models to produce better accuracy and fairness - plus, they are passionate about building technology to make AI work for everyone. You would be working remote with the opportunity to help shape the future of AI and its real-world impact. You would be working closely with internal and external personalities to translate functional and technical requirements into data pipelines of AI performance platform.

• Develop and operate modern data architecture for functional and nonfunctional requirements
• Incorporate software and data quality by using various CI/CD practices to build, deploy, and operate data pipelines
• Thorough understanding of engineering tools like Kafka and Spark
• Instruct and mentor team members

• Proficiency with at least GoLang, Scala, Java, or Python
• Understanding of Kafka and Spark
• Experience with designing and developing largescale event-driven data architectures
• Experience deploying microservices using Docker, Kubernetes, or similar frameworks
• Cloud environments with AWS, Azure, or Google Cloud Platform
• Knowledge of machine learning and AI - tools such as Tensorflow and Scikit learn

• Competitive pay plus medical, dental, vision, and 401k
• Flexible learning and development
• Discounted gym and fitness
• Flexible PTO
• Flexibility to work remote or in office (NYC, DC, and SF)