Senior Data Engineer – AWS ETL & Analytics Platform Lead

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

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.