Data Engineer

Industry: Software
Company size: 51-250

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Job description

A leading U.S.-based company, known for its innovative spirit and commitment to technological progress, is in search of a Data Engineer. This NASDAQ-listed organization is at the forefront of its field, constantly pushing the limits of what is achievable and setting new industry standards. As a Data Engineer, you will play a pivotal role in developing and maintaining data architecture, leveraging cutting-edge technologies such as Apache Kafka, Java, and React.

Job Responsibilities:

  • Architect, build, and maintain highly scalable data management systems
  • Define and enforce data standards to ensure quality and accessibility
  • Collaborate with data scientists and architects on diverse projects
  • Streamline data mining, modeling, and production processes
  • Translate intricate functional and technical requirements into detailed designs
  • Ensure system alignment with business needs and industry best practices

Job Requirements:

  • Bachelor’s or Master’s degree in Engineering, Computer Science, or equivalent experience
  • A minimum of 3-5 years of Data Engineering experience
  • 1+ years of proficiency with Apache Kafka, Java, and React
  • Demonstrated ability to design, build, and manage data pipelines
  • Strong knowledge of algorithms and data structures
  • Proficiency in English with effective communication skills

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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.

Equal Opportunity Policy

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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