Sr. Data Engineer - Analytical Development

Takeda; Boston (MA); Hybrid; USD 137,000 - 215,000; Full time

Job summary

Takeda in Boston is seeking a senior data Sr. Staff Engineer to design, implement, and deploy event-driven ETL pipelines on AWS for laboratory records.

You will lead a digital transformation, build analytics capabilities, and own infrastructure across data wrangling, logging, and multi-platform integration. The role requires deep experience in SQL, Python, R, and cloud environments, with a track record in data analytics, predictive modeling, and dashboard development.

Qualifications

• B.S. in computer science, software engineering, or related field with 11+ years (MS 9+; PhD 3+).
• Minimum 8 years in analytical environments using SQL, Cloud, AWS, Python, Dev-Ops and R Studio.
• Experience with ETL pipelines, data pre-processing, and statistical concepts; multiple languages (Python, R, Scala, C/C++, SQL).
• Exposure to cloud computing in data/analytics (Spark, Databricks, data lakes, ML tools).
• Strong knowledge of analytical software (Spotfire, Minitab, MATLAB) and multi-contributor software projects.
• Prior work on biologics/pharma devices tech implementations is highly desirable.
• Collaborate with vendors and cross-functional teams of developers, engineers, and scientists.

Responsibilities

• Develop and maintain the AD digital transformation roadmap and deliver on its vision and timeline.
• Support large database activities and design/maintain open-source data extraction algorithms.
• Own digital transformation projects including data analytics, predictive modeling, dashboards (Spotfire/Tableau/Power BI).
• Develop and maintain core software engineering infrastructure within data platform engineering, including data wrangling and logging.
• Contribute to data engineering pipelines, data platforms, and analytics efforts.
• Coordinate with other development teams to promote interoperability and shared infrastructure.
• Monitor data capture systems to identify inefficiencies and bottlenecks; optimize performance.
• Support internal and external R&D projects, maturing POCs into production-ready tools.

Skills

SQL

Python

R

Scala

C/C++

AWS

DevOps

Data modeling

Education

B.S. in Computer Science or Software Engineering

M.S. in Computer Science/Engineering

Ph.D. (optional)

Tools

Spotfire

Tableau

Power BI

R Studio

MATLAB

Minitab

Databricks

Spark

Open-source tooling

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.

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

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

Yes

It 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.