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

At Turing, we are looking for senior data engineers who will take ownership of developing high performant and scalable enterprise applications using SaaS and PaaS, as well as will be responsible for developing data architecture and ensuring security and maintenance. Apply for top WFH senior data engineering jobs and get a chance to work with top U.S companies.

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Job description

Job responsibilities

  • Be responsible for creating effective algorithms, as well as implementing those in data lakes, pipelines, and other areas
  • Run software engineering process with continuous improvement
  • Manage different tasks, including scalable ingestion APIs, data modeling and transfer, microservices, and event-based architectures
  • Be responsible for creating effective algorithms, as well as implementing those in data lakes, pipelines, and other areas
  • Run software engineering process with continuous improvement
  • Manage different tasks, including scalable ingestion APIs, data modeling and transfer, microservices, and event-based architectures
  • Design and create scalable databases while improving data models
  • Take ownership of data security and protection practices
  • Write unit and integration tests to maintain data accuracy and provide peer review

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 5+ years of experience in data engineering or data science field (rare exceptions for highly skilled developers)
  • Solid knowledge and working experience of SQL, Python, and Bash
  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 5+ years of experience in data engineering or data science field (rare exceptions for highly skilled developers)
  • Solid knowledge and working experience of SQL, Python, and Bash
  • Skills in SQL, PL/SQL or T-SQL with RDBMSs like Teradata, MS SQL Server, or Oracle in production environments
  • Proficient with maintaining/configuring data engineering and ETL tools
  • Working proficiency in data tools, such as Hive, Spark, Hadoop, or Presto
  • Extensive experience in technologies, including PySpark, Python, DBT, and AWS services
  • Fluent in verbal and written English communication
  • Comfortable working full-time (40 hours/week) with a 4-hour overlap with US time zones

Preferred skills

  • Familiarity with NLP, AWS CDK
  • Knowledge of representation learning, data visualization
  • Excellent collaboration and problem-solving skills
  • Familiarity with NLP, AWS CDK
  • Knowledge of representation learning, data visualization
  • Excellent collaboration and problem-solving skills
  • Critical thinker and a team player
  • Understanding of SDLC and Agile methodologies

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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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