Sr. Data Engineer - Analytical Development

Takeda; Boston (MA); Hybrid; USD 140,000 - 215,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Takeda is seeking a data Sr. Staff Engineer to design, implement, and deploy event-driven ETL pipelines on AWS for analytical lab records. You will drive digital transformation using modern data platforms and predictive modeling, delivering roadmaps and dashboards across multiple tools.

You will collaborate with developers, engineers and scientists, ensuring scalable data workflows and production-ready tooling in a hybrid work environment with Boston-area offices.

Qualifications

• BS in CS/SE or related field with 11+ years of experience, MS with 9+ years, or PhD with 3+ years.
• Experience with SQL, Cloud, AWS, Python, DevOps and R Studio.
• Proficient in ETL pipelines, data pre-processing, and statistics.
• multilingual ability to work in Python, R, Scala, C/C++, SQL.

Responsibilities

• Develop and deploy event-driven ETL pipelines with AWS.
• Support large database activities and design open-source extraction algorithms.
• Own digital transformation projects, dashboards (Spotfire, Tableau, Power BI).
• Build data platform infrastructure: wrangling, logging, performance benchmarking.
• Contribute to data engineering and analytics pipelines and platforms.
• Coordinate with other teams for interoperability and shared infrastructure.
• Monitor data capture systems and remove bottlenecks.
• Support R&D projects and mature POCs into production tools.

Skills

SQL

AWS

Python

R

Scala

C/C++

DevOps

ETL pipelines

Data modeling

Spark

Databricks

Data lakes

Tableau

Power BI

Spotfire

R Studio

MATLAB

Education

B.S. in Computer Science, Software Engineering, or related field

M.S. in related field

PhD with 3+ years of experience

Tools

Spotfire

Tableau

Power BI

R Studio

MATLAB

Job description

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 Takeda:

• To be considered for this role you must have a B.S. degree in computer science, software engineering, or a related field with 11+ years of relevant industry experience, M.S. and 9+ years of relevant industry experience, or PhD and 3+ years of relevant industry experience.
• Minimum of 8 years of combined experience in the analytical environment utilizing SQL, Cloud environments, AWS, Python, Dev-Ops and R Studio.
• The candidate should have experience with ETL pipelines, data pre-processing, and statistical concepts and can work in multiple languages (Python, R, Scala, C/C++, SQL).
• Exposure to cloud computing environments and technologies in the data & analytics engineering domain (Spark, Databricks, data lakes, data QA tools, ML tools) are a plus but not required.
• Strong understanding of analytical software (Spotfire, Minitab, MATLAB) and demonstrated experience contributing to and maintaining multi-contributor software projects (open or closed source), pipelines, and/or enterprise systems required.
• Previous direct involvement in technology implementations for use in biologics, pharmaceuticals or devices, either in manufacturing operations or support function is highly desirable.
• Interacts with vendors of applications, integrators and consultants during front end studies, design workshops and system implementation.
• Need to be able to collaborate with other coworkers and work with multi-functional teams of developers, engineers, and scientists.

This position is currently classified as "hybrid" following Takeda's Hybrid and Remote Work policy.

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location:

Boston, MA

U.S. Base Salary Range:

$137,000.00 - $215,270.00

The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.

For information about our benefits, please click here.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Locations

Boston, MA

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time

Job Exempt

YesIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.