Takeda Logo

Takeda

Data Engineer

Job Posted 4 Days Ago Posted 4 Days Ago
Hybrid
Boston, MA
150K-216K Annually
Mid level
Hybrid
Boston, MA
150K-216K Annually
Mid level
The Data Engineer will design, maintain, and optimize data pipelines, analyze data patterns, and create technical strategies for data analysis and model development.
The summary above was generated by AI

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
Pursuant to Section 20 C.F.R. 656.10, you are hereby notified that an application for Alien Employment Certification will be filed by Takeda Development Center Americas, Inc. for the following job opportunity:
JOB LOCATION: Cambridge, MA
POSITION: Data Engineer
POSITION DESCRIPTION: Takeda Development Center America, Inc. is seeking a Data Engineer with the following duties: Identify various methods for analyzing data by utilizing diverse technologies, preparing and managing big data, programming, and data loading, as well as conducting initial exploration in the process of searching and identifying patterns; maintain end-to-end data pipelines, internalize numerous systems and processes, broad enablement of automation and real-time data accessibility, efficient data review and query, facilitation of disruptive technologies for next-generation trial designs and insight derivation; review data science inputs and requirements, converting them from initial data exploration into practical applications for extensive datasets with billions of records or unstructured data. This process may involve programming, mathematical algorithms and potentially newer tools like Machine learning or Deep learning to construct models and extract meaningful insights from the data; introduce novel and state-of-the-art computational techniques to other teams and scientists to improve capabilities for data analysis with the purpose of deriving high accuracy insight from available datasets more efficiently; utilize advanced methods on structured, partly structured, and unstructured data across various organizations; gather and prepare data for utilization or training purposes, enhance the implementation of algorithms to evaluate, expand and deploy future models; independently design, develop and deploy data models related to R&D questions; create technical strategies and roadmaps for data analysis, uncovering patterns, formulating data models, and scaling these models for controlled production environments or to design and implement a future state environment for data processing; recognize prospects and foresee shifts in the technological landscape by comprehending and continuously evaluating the external factors that influence the business.
REQUIREMENTS: Master's degree in Computer Science, Information Systems or related field plus 3 years of related experience. Prior experience must include: Identify various methods for analyzing data, utilize diverse technologies, prepare, and manage big data, programming and data loading as well as initial exploration in the process of searching and finding patterns; maintain end-to-end data pipelines, internalize numerous systems and processes, broad enablement of automation and real time data accessibility, efficient data review and query, facilitation of disruptive technologies for next-generation trial designs and insights derivation; review data science inputs and requirements, converting them from initial data exploration into practical applications for extensive datasets with billions of records or unstructured data; utilize advanced methods on structured, partly structured, and unstructured data across various organizations; gather and prepare data for utilization or training purposes, enhance the implementation of algorithms to evaluate, expand and deploy future models; create technical strategies and roadmaps for data analysis, uncovering patterns, formulating data models, and scaling these models for controlled production environments or to design and implement a future state environment for data processing; recognize prospects and foresee shifts in the technological landscape by comprehending and continuously evaluating the external factors that influence the business.
Full time. $150,000 - $215,600.00 per year. Competitive compensation and benefits.
Qualified applicants can apply at https://jobs.takeda.com. Please reference job #R0145002. EOE
Any individual may provide documentary evidence bearing on this application, with information on available workers and information on wages and working conditions, to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210.
Locations
Boston, MA
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time

Top Skills

Big Data
Deep Learning
Machine Learning
Python
SQL

Similar Jobs at Takeda

11 Days Ago
Hybrid
Boston, MA, USA
177K-228K Annually
Senior level
177K-228K Annually
Senior level
Healthtech • Software • Analytics • Biotech • Pharmaceutical • Manufacturing
The Data Platform Engineer will develop ETL processes, design cloud infrastructure, optimize SQL queries, and maintain APIs and databases while collaborating with analysts and stakeholders.
Top Skills: Cloud ServicesETLPower BIPythonRestful ApisSQLTableau
11 Days Ago
Remote
Hybrid
Boston, MA, USA
133K-209K Annually
Senior level
133K-209K Annually
Senior level
Healthtech • Software • Analytics • Biotech • Pharmaceutical • Manufacturing
Lead the development and maintenance of interactive data visualizations for clinical trial data, ensuring compliance and collaboration across teams.
Top Skills: ETLJreviewPower BIPythonQlikviewRSpotfireSQLTableauVeeva Cdb
2 Days Ago
Hybrid
Cambridge, MA, USA
Senior level
Senior level
Healthtech • Software • Analytics • Biotech • Pharmaceutical • Manufacturing
Lead analytics and forecasting for the US Plasma Derived Therapies Business Unit, focusing on data-driven decision-making, forecasting, and collaboration with stakeholders.
Top Skills: DatabricksExcelMicrosoft PowerpointPythonSQLTableau

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account