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Remote data analytics/operations engineer jobs

We, at Turing, are looking for talented remote data analytics/operations engineers who will build assembly lines to develop a data and analytic product in order to bring robust, efficient, and integrated data models. Here's the best chance to collaborate with top industry leaders while working with top Silicon Valley companies.

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Job description

Job responsibilities

  • Promote DataOps approach to delivery process to automate data provisioning, testing, and monitoring
  • Increase deployment frequency to shorten development cycles and quickly meet the data analytics needs
  • Collaborate with data architects to build a data pipeline and optimize it for data solutions including data science products
  • Promote DataOps approach to delivery process to automate data provisioning, testing, and monitoring
  • Increase deployment frequency to shorten development cycles and quickly meet the data analytics needs
  • Collaborate with data architects to build a data pipeline and optimize it for data solutions including data science products
  • Ensure the data pipelines are scalable and highly performant
  • Make sure to implement DataOps and automation initiatives for solutions deployed in production
  • Implement agile methodologies of working into the delivery process through the use of the DABL framework
  • Collaborate with cross-functional teams to drive a common DataOps framework for continuous delivery and quality attainment
  • Keep abreast with the latest technology approaches, new opportunities, and industry developments to get the accurate impact of services

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • 3+ years of experience with data & analytics with grip over emerging data technology platforms and management (rare exceptions for highly skilled developers)
  • Experience in development and coding with one or more programming languages including Python, Java, Scala, C++, C#, etc.
  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • 3+ years of experience with data & analytics with grip over emerging data technology platforms and management (rare exceptions for highly skilled developers)
  • Experience in development and coding with one or more programming languages including Python, Java, Scala, C++, C#, etc.
  • Experience with microservices and REST API end-points
  • Strong knowledge of relational databases, including SQL
  • Working experience with ML deployment and operations
  • Understanding of queuing systems and distributed systems
  • Sound knowledge of software development best practices
  • Prior experience in engineering and maintaining high-performance scalable systems and multi-threaded programs
  • Solid understanding of BI and data warehousing methods
  • Proficient in tools such as Apache Spark, ELK stack, Apache Airflow, Hadoop Ecosystem, Apache Kafka, or Amazon Redshift.
  • Fluent in English to communicate effectively
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Understanding of ML algorithms, algorithmic foundations of optimization and data mining
  • Knowledge of large-scale distributed systems like Hadoop and Spark
  • Knowledge of GCP and AWS are a plus
  • Understanding of ML algorithms, algorithmic foundations of optimization and data mining
  • Knowledge of large-scale distributed systems like Hadoop and Spark
  • Knowledge of GCP and AWS are a plus
  • Ability to explain difficult technical topics to technical/non-technical stakeholders
  • Excellent knowledge of the Agile development process
  • Great technical, analytical and problem-solving skills

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Frequently Asked Questions

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.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

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.

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.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

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.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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Leadership

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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