Senior Data Engineer

Industry: Artificial Intelligence
Company size: 11-50

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Job description

A rapidly-growing US-based startup that uses next-gen technology to analyze and combine behavioral economics to provide customers with personalized insurance services is looking for a Senior Data Engineer. The developer will be joining the company’s core team while working with the founder and CIO that oversees tech, R&D, data acquisition, and product vision. The VC-backed, personality-focused data enrichment platform utilizes the latest in AI to provide new predictive power to MGAs and carriers. This is a full-time, long-term role and a unique opportunity for developers to make their mark on the platform and company.


Job Responsibilities:

  • Perform automation, design, and architect highly scalable and reliable data pipelines 
  • Analyze large volumes of data from different sources to support the fast-changing needs of the company
  • Efficiently collaborate with cross-functional teams in engineering, data science, product, management, and advisors
  • Guide the team on system architecture, code structure and quality, technical debt, and testing
  • Work closely with the data science team and demonstrate a strong aptitude to translate business and technical requirements into a scalable working solution 
  • Continuously meet the demands of the company and clients while staying on track with deadlines
  • Build tools that provide visualizations for teams and extract insights from big-data platforms

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 4+ years of relevant experience as a software engineer
  • 2+ years experience in a data-engineering role for commercial products
  • Familiarity with big-data or machine learning technologies, preferably Spark
  • Strong knowledge of Python (pandas) 
  • Experience with Scala is nice to have
  • Strong experience with SQL development and working with NoSQL
  • Comfortable developing and debugging in Linux/Unix environment
  • Proven track record of building/deploying services and data pipelines in AWS
  • Familiarity working with containers (Docker, Kubernetes)
  • Profound skills in implementing operational best practices such as monitoring, alerting, and metadata management is desirable
  • Working knowledge of machine learning and statistics is nice to have
  • Nice to have some experience in a technical or team leadership role, or a desire to grow into one with a pattern of achievement and growth
  • Fluent in written and verbal English

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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.

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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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