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Takeda Pharmaceutical
Sr. Data Engineer - Analytical Development
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Based on Massachusetts data
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$116,839 / year median in Massachusetts
+10% projected growth
Job Description
By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description The AD Technology Development and Implementation team at Takeda is in search of a data Sr. Staff Engineer to contribute to the design, implementation, and deployment of event driven ETL pipelines with AWS to ingest and process structured and unstructured laboratory records. Our team strives to analyze laboratory method characterization data by using modern data platforms, standard methodologies, and thoughtful predictive modeling. In this role, a typical day might include the following: Develop and maintain Analytical Development (AD) digital transformation road map. Deliver established vision, roadmap, projects, and timeline to support the digital transformation of analytical laboratory results. Support large database activities, design and maintain open-source code extraction algorithms Assume technical ownership on digital transformation projects, which include but are not limited to data analytics and predictive modeling, dashboards using Spotfire, Tableau, Power BI, and open-sourced coding (i.e., R and Python) Develop and maintain core software engineering infrastructure within data platform engineering & operations, including data wrangling, data logging, performance benchmarking, and multi-platform integration Contribute to multiple software engineering efforts, including data engineering/analytic pipelines, and data platforms Coordinate with other development teams to promote collaborative data management efforts, interoperability, and shared infrastructure Monitor data capture systems to identify inefficiencies and remove bottlenecks Support internal & external R&D projects, working with domain experts to mature POCs into production-quality tools What you bring to