Data Engineer

Industry: Artificial Intelligence
Company size: 11-50
Not disclosed

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Job description

A well-established company on a mission to accelerate products and ideas that make a difference in people’s lives is looking for a Data Engineer. The selected candidate will be working closely with the Director of Data Science to create and implement operational work plans as part of the tech roadmap. The company is firmly focused on maximizing the potential of a health and wellness brand by leveraging specialized expertise. This will be a full-time position that requires 4+ hours overlap with the EST time zone.


Job Responsibilities:

  • Take ownership and execute tasks with a sense of entrepreneurship
  • Collaborate with cross-functional teams across the company to own, implement, and scale the data and analytics infrastructure
  • Create strong ELT data pipelines from a variety of data sources using custom code and off-the-shelf SaaS solutions
  • Collaborate with internal stakeholders to design and create a corporate cloud data warehouse that multiple users can use at the same time
  • Conduct quality assurance checks, clean, and merge various datasets for use by different downstream users while maintaining consistency across sources
  • Automate multiple workstreams in performance reporting and due diligence to boost employee productivity while also providing them with regular access to new data and insights
  • Create interactive dashboards and analytics tools for internal users
  • Support in-production machine learning workloads with real-time data streaming, ingestion, and feature engineering
  • Collaborate with the data science, acquisitions, and the brand management team to gather product requests and execute sprint planning

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
  • Demonstrable skills working with Python, R, and SQL
  • Experience in creating ETL/ELT pipelines from numerous API endpoints from a technical data analytics or engineering function
  • Working knowledge of BI and visualization software such as Tableau or Looker
  • Ability to act as a technical translator and strong communication skills
  • Fluent in English communication

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Frequently Asked Questions

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

We are a Palo Alto-based 'deep' jobs platform allowing talented software developers to work with top US firms from the comfort of their homes. We are led by Stanford alumni and successful A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

It is the combination of our core business model and values that makes us different from others. We provide full-time, long-term projects to remote developers whereas most of our competitors offer more freelance jobs.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

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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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