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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