Data Engineer at ZocDoc

We are looking for a Data Engineer (DE) to join our data team! At Zocdoc you’ll balance individual contribution with mentorship, and drive some of our most exciting and complex projects. As a Data Engineer, you’ll help us build infrastructure for collecting, storing, processing, and analyzing huge sets of data in batch and streaming pipelines. You will work with the Product Engineering, Marketing, and Sales teams to model data and build ETL. You will be an influential contributor to the design and implementation of data flows, tools, and infrastructure necessary to make key strategic decisions, and power machine learning and personalization within the product.
What you’ll do:

  • As an individual contributor, scale and enhance our near-real-time analytics platform

  • Write and maintain data pipelines

  • Communicate and collaborate with partner teams across the company to assess data needs and prioritize accordingly. Be proactive about driving data collection and storage best practices

  • Build data tooling to enable data lake, data warehouse, and analytics workflows within the AWS cloud

  • Drive adoption of data tools. Give tech talks and demos on the newest capabilities and enhancements to the system

  • Work closely with the Data Science and Business Intelligence teams to develop data models and pipelines for research, reporting, and machine learning.

What’s required:

  • You’re passionate about data and technology

  • You value the performance, scalability, and reliability of software

  • 1+ years engineering experience, 1+ years working with data in the cloud, ideally using AWS.

  • You’ve worked with AWS tools or other cloud provider tools (Redshift, S3, Lambda, EMR, Kinesis (Firehose), ECS, etc.)

  • Well-versed in one or more of the following languages: Python, Scala

Computer Science or related degree required

Remember to mention that you found this on NMBU CareerGate