Data Engineer

Industry: Healthcare
Company size: 51-250
Not disclosed

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Job description

A US-based SaaS platform redefining how the healthcare sector operates is looking for a Data Engineer. The selected candidate will be collaborating with other developers and cross-functional teams to deliver platform enhancements. The company leverages the power of machine learning technologies to identify non-compliance in pharmaceutical claims. During their Series B round, the company managed to raise funding worth more than $30 mn. This will be a full-time position requiring some overlap with the CST time zone.


Job Responsibilities:

  • Create and deploy an ETL Ingestion Pipeline to import hundreds of millions of healthcare claims to Snowflake-based data warehouse
  • Think through features from the customers perspective and deliver with the end-users in mind
  • Work closely with Product, Engineering, Finance, and Operations teams to successfully deliver data and analytical projects
  • Collaborate with stakeholders to develop an understanding of the data sources that power various parts of the business

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a data engineer
  • Prolific knowledge of Snowflake, DBT, relational databases, Fivetran, and Python
  • Core competency in the implementation of the software development lifecycle approaches to database work, Testing, CI/CD, and other automation activities
  • Demonstrated experience building and maintaining high-throughput ETL pipelines, ideally for a fragmented, non-digital native industry like healthcare
  • Nice to have some prior experience building Big data pipelines and warehouses to enable machine learning workflows
  • Excellent communication and collaboration skills
  • Great time-management and multitasking skills

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