Senior Data Engineer (Remote)
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What you'll do
- Lead the design, development, testing, and deployment of highly scalable, high-performance data integration and transformation solutions across Quest’s enterprise data platform and the HAS data product.
- Partner with architects, business customers, and cross-functional engineering and data science teams to shape data architecture strategy, design large-scale data processing solutions, and build the data-driven systems that guide Quest’s reporting and analytics.
- Define standards, reusable patterns, and best practices for mining, acquiring, transforming, standardizing, enhancing, migrating, verifying, and modeling Quest’s enterprise data.
- Drive advanced analytics initiatives that build, train, deploy, and refine AI/ML models to efficiently analyze vast quantities of data.
- Provide technical leadership and mentorship to fellow engineers to best serve our patient population.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
In this senior role, you will lead the design, development, testing, and deployment of highly scalable, high-performance data integration and transformation solutions across Quest’s enterprise data platform and the HAS data product. Partnering with architects, business customers, and cross-functional engineering and data science teams, you will shape data architecture strategy, design large-scale data processing solutions, and build the data-driven systems that guide Quest’s reporting and analytics. This includes defining standards, reusable patterns, and best practices for mining, acquiring, transforming, standardizing, enhancing, migrating, verifying, and modeling Quest’s enterprise data. In addition, you will drive advanced analytics initiatives that build, train, deploy, and refine AI/ML models to efficiently analyze vast quantities of data, and you will provide technical leadership and mentorship to fellow engineers to best serve our patient population.
Company
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