Data Engineer

Industry: Technology
Remote
Company size: 1-10
Full-time/Part-time

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Job description

A rapidly-growing company that is building AI technology to help students understand texts and learn better is looking for a Data Engineer. The selected candidate will be helping the leadership in revamping and mitigating product backlog weekly. The U.S.-based company is solving problems for students, enterprises, and schools by tapping into the power of technology. The company has managed to secure more than $590K in funding so far. This is an exciting opportunity for developers who enjoy working with an efficient cross-functional team of professionals. 

 

Job Responsibilities:

  • Assist in managing the team in the delivery of sprint commitments
  • Build internal tools to help workflows
  • Collaborate and communicate with employees and clients across various channels
  • Work with the team to brainstorm ideas and perform sprint planning 
  • Quickly surface issues and any deviations from the plan to relevant stakeholders 
  • Work closely with product leaders and technical team to develop scalable solutions

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a data engineer
  • Extensive experience working with data engineering, Kafka, and related technologies
  • Ability to create data pipelines, infrastructure, cleaning, and processing datasets
  • Fluent in spoken and written English communication

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In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

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Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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