Remote data engineer jobs at top U.S. companies in 2022

We, at Turing, are looking for talented data engineers who can build data processing and reporting infrastructure that powers company-wide insights and technical intelligence. Join forces with the top 1% of data engineers and grow with the best minds.

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Job description

Job responsibilities

  • Design database and data pipeline/ETL using emerging technologies and tools
  • Drive the team to develop operationally efficient analytic solutions
  • Define standards, methodologies for the Data Warehousing environment
  • Design database and data pipeline/ETL using emerging technologies and tools
  • Drive the team to develop operationally efficient analytic solutions
  • Define standards, methodologies for the Data Warehousing environment
  • Design and build highly scalable data pipelines using new generation tools and technologies like AWS, Snowflake, Spark, Kafka to induct data from various systems
  • Translate complex business requirements into scalable technical solutions meeting data warehousing design standards
  • Create scalable data pipelines and ETL applications that support business operations in advertising, content, and finance/accounting
  • Assist with deciphering data migration issues and improving system performance
  • Collaborate efficiently with product management, technical program management, operations, and other engineers

Minimum requirements

  • BS, MS, or Ph.D. in Computer Science or a relevant technical field
  • Extensive experience building scalable data systems and data-driven products working with cross-functional teams
  • 2+ years of related software/data engineering experience with a proficiency in Python
  • BS, MS, or Ph.D. in Computer Science or a relevant technical field
  • Extensive experience building scalable data systems and data-driven products working with cross-functional teams
  • 2+ years of related software/data engineering experience with a proficiency in Python
  • Ability to create data pipelines and ETL applications with large data sets
  • Proficiency in building REST APIs for back-end services
  • Exposure to implementing, testing, debugging, and deploying data pipelines using any of the following tools: Prefect, Airflow, Glue, Kafka, Serverless(Lambda, Kinesis, SQS, SNS), Fivetran, or Stitch Data/Singer
  • Experience with any of the Cloud data warehousing technologies: Redshift, BigQuery, Spark, Snowflake, Presto, Athena, S3
  • Experience with SQL DB administration (PostgreSQL, MS SQL, etc.)

Preferred skills

  • Understanding of complex, distributed, microservice web architectures
  • Experience with Python back-end, ETL to move from one database to another
  • Solid understanding of analytics needs and proactive-ness to build generic solutions to improve the efficiency
  • Understanding of complex, distributed, microservice web architectures
  • Experience with Python back-end, ETL to move from one database to another
  • Solid understanding of analytics needs and proactive-ness to build generic solutions to improve the efficiency

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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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