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Data Engineer

Industry: Technology
Remote
Company size: 1-10
Full-time

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Job description

A rapidly-growing company determined to help clients embark on a sustainable investment journey is looking for a Data Engineer. The selected candidate will be in charge of developing elegant solutions to resolve usability problems. The company is providing financial advisors with all the required tools and services they need to help clients understand and grow their social and environmental impact. This is an excellent opportunity for developers who enjoy working in a fast-paced and challenging environment. 

 

Job Responsibilities:

  • Streamline data pipelines and infrastructure
  • Contribute to new data products and features
  • Improve automation, observability, and resiliency of the current data pipelines
  • Ensure that the work remains backed up and readily accessible to relevant coworkers

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
  • Must have experience with Python, Django, ETL, Panda, and PostgreSQL
  • Excited to work in a fast-growing startup
  • Familiarity with modern ETL tool sets, such as Airflow, Prefect, AWS suite of services, etc., is a must
  • Must be familiar with building data-driven products
  • Must be enthusiastic about handling new projects
  • Be comfortable wearing several hats as the business expands

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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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