Senior Data Engineer – Analytics & ETL (Hybrid, AWS)

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

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.