Data Engineer

Industry: Manufacturing
Company size: 11-50

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Job description

A Silicon Valley-based company with a proven track record of helping scientists and engineers from some of the world’s most influential companies to better understand various properties of their new products and technologies is hiring a Data Engineer. The engineer will design, implement and operate high-value data storage and analytics solutions on the platform. The company offers in-house measurement and imaging of advanced materials and strategically partners with customers and clients to solve development challenges, improve products and increase yields. This position requires a full-time, long-term commitment and a minimum of 4 hours overlap with PST.


Job Responsibilities:

  • Be responsible for the data platform implementation
  • Modify sophisticated functional and technical specs into detailed architecture and design
  • Utilize the available data to deliver business insights and customer solutions
  • Craft out unique pipelines to provide services that will impact functional and operational decisions
  • Bring data requirements together through collaboration with scientists and engineers 
  • Work actively on building the data pipelines and achieving high-quality data ingestion
  • Design and develop systems that ingest massive amounts of structured and unstructured data 
  • Maintain and manage data pipelines on AWS to enable AI & ML capabilities
  • Integrate production-ready data workflows, including automations and CI/CD pipelines 
  • Ensure adequate data quality and availability
  • Carry out ad-hoc analysis and present results in a straightforward manner
  • Research and select new Big Data tools, technologies, or frameworks required to provide requested capabilities
  • Demonstrate efficiency in handling data, tracking data lineage, ensuring data quality, and improving discoverability of data

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science, Mathematics (or equivalent experience)
  • At least 8+ years of relevant experience as a software or data engineer
  • Prolific skills in building data or machine learning pipelines
  • Track record of crafting and implementing operational data stores, as well as data lakes in production environments
  • Profound skills in implementing AWS services, including AWS Glue, S3, Athena, DynamoDB, Lambda, and RDS
  • Core competency with one or more relevant tools (Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis)
  • Solid expertise in developing software code in one or more programming languages (C#, Java, JavaScript, Python)
  • Sound understanding of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MXNet Caffe, and Keras
  • Proficiency with DevOps, Continuous Integration, and Continuous Delivery
  • Previous experience working in an Agile development environment

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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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