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Senior Data Platform Engineer

Company: Confidential Client
Location: Mountain View
Posted on: July 19, 2021

Job Description:

The Role
 
Our client is looking for Senior Data Platform Engineers to help build the next generation of our data platform. The Data Platform team acts as stewards for our client's data. We stream hospital EMR to our core warehouses in real time, build out curated data layers to power our Healthcare AI, design and build patterns to ensure the security of patient (HIPAA) data and overall ensure our client's data users have the tools they need to explore and power the product at scale and cost to improve the lives of patients and doctors across the country.
 
As a Senior Data Platform Engineer, you will build and own significant components of the company's data platform. You will be comfortable designing, building, and leading cross-functional initiatives with technical and non-technical partners - from database tuning, to pipeline design, to scaling services to support company expansion within the healthcare space (and HIPAA restrictions). You will be motivated and excited to have an impact on the team and in the company and to improve the quality of healthcare operations.

Key Responsibilities

  • Build, tune, and improve the end-to-end workflow of data users at our client (incl. designing data structures,  building and scheduling data transformation pipelines,  improving access to critical data assets etc.).
  • Automate & manage the lifecycle of data sets (schema development, deprecation, and iteration).
  • Improve the data quality and transparency of the pipelines (defining data requirements and data flow visibility - lineage, sources, transformations).
  • Design and implement highly scalable backend systems and algorithms to process massive amounts of complex, high dimensionality, high cardinality data.
  • Work closely with the rest of the team members to develop, test, deploy, and operate high quality, scalable software and raise engineering standards.

Key Qualifications:

  • Demonstrated experience in data modeling and transformation pipeline design and experience building for data science and analytics partner needs.
  • Experience working and building in a fast paced dynamic environment across multiple technologies.
  • Practiced ability to lead technical architecture discussions and help drive technical decision making within your team.
  • Experience building and maintaining robust and efficient backend data systems with functional proficiency with AWS cloud services & modern data warehouse services (Snowflake).
  • 5+ years of professional experience working with modern programming languages such as Java, C/C++, Python with a dedication to high code quality.

Nice to Have Skills:

  • Strong cross-functional communication - ability to break down complex technical components for technical and non-technical partners alike.
  • Ability to mentor and help mature our technical team.
  • Practical hands on experience with: building large-scale, high complexity metrics and monitoring and ELK, DBT, Snowflake, AWS, Terraform, Looker, Ansible experience.
  • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent training / experience.

Keywords: Confidential Client , Mountain View , Senior Data Platform Engineer, Other , Mountain View, California

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