Data Engineer As a Data Engineer, you will be responsible for supporting our customer engagements by designing, developing and deploying scalable data-driven solutions in a high-performance, customer-driven environment.
If you are passionate about leveraging the power of AI to help clients reach their full potential, this is the opportunity for you!
Role and Responsibilities: Build out data pipeline processes and services at scale in collaboration with engineering peers and leads. Work with Tech Lead, Product, and peer engineers to build and maintain data pipelines across many data sources of various sizes/complexity. Build and extend initiatives around data quality, monitoring, and processing of customer data. Ensure engineering designs are guided by high performance, scalability, security, following the strict healthcare policy compliance, with low cost. Agile through experimentation, prototyping, and solid execution. Preferred Experience: BS or MS in Computer Science, Computer/Electrical Engineering, or closely related Software Engineering field. An excellent track record (5+ years) of delivering data engineering solutions. Experience with working with diverse data sets from relational databases to unstructured datasets in Hadoop. Experience with Airflow. Experience with cloud platforms, such as Google Cloud Platform, Amazon Web Services, etc. Experience with Healthcare and Life Sciences domain. A great collaborator who can work across operating styles and can bring together multiple perspectives, able to handle conflicts with the best interests of the company and customers in mind. Able to translate business and technical requirements into clean/logical design. Strong ability to perform design and code reviews.
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