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Data Engineer

Industry: Insurance
Remote
Company size: 51-250
Full-time

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Job description

A US-based company that is utilizing AI and Machine Learning technologies to accelerate commercial insurance performance is looking for a Data Engineer. The engineer will be taking ownership of the current data for product insights to create a roadmap for future development. The company's advanced technology is enabling businesses to unlock the value in their unstructured data. The company has managed to successfully raise $30mn+ during their Series C round of funding. 

 

Job Responsibilities:

  • Assist in the design and implementation of the company’s data platform from the ground up
  • Conduct tooling and integrations for data ingestion, Kappa or Lambda architectures for stream and batch processing, monitoring, etc. 
  • Build end-to-end ETL/LT pipelines to populate the Data Warehouse 
  • Collaborate with Product, Engineering, Data Science, Analytics/BI, and Operations team to understand their data requirements and engineer solutions accordingly 
  • Act as a technical leader and mentor junior engineers on the team

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
  • At least 3+ years of experience working with one or more programming languages like Scala and Python/PySpak
  • Extensive experience working with SQL databases
  • A minimum of 3+ years of experience developing data platform infrastructure 
  • Demonstrable background working with distributed big data technologies such as Spark, Presto, Hive, Redshift, etc.
  • Prolific experience with schema design, dimensional data modeling, and large-scale data warehousing architecture
  • Expertise in designing, implementing, and maintaining data pipelines through efficient ETL design, implementation, and maintenance
  • Prior experience providing technical leadership and mentoring other engineers for best practices in the data engineering space
  • Solid knowledge of agile software development and continuous integration/deployment principles
  • Fluent in verbal and written English

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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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