Senior Data Engineer - AI/ML & Cloud Pipelines (Remote)

Takeda Pharmaceuticals; Boston (MA); Remote; USD 139,000 - 237,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with match

Paid time off

Job summary

Takeda Development Center Americas, Inc. is seeking a Principal Data Engineer in Cambridge, MA with 100% remote work option across the U.S. You will lead cloud data pipelines, AI/ML initiatives, and real-time dashboards to support clinical and operational decision-making.

The role requires a Master’s degree in a related field and hands-on experience with Python, Spark, Airflow, and SQL. You will mentor engineers, drive automation, and collaborate with cross-functional teams to advance

Qualifications

• Master’s degree in Computer Science, Data Science, Engineering, or related field.
• Experience designing and deploying data engineering software.
• Strong knowledge of Python, Spark, and SQL required.
• Familiarity with AI/ML workflows and NLP is a plus.
• Experience in Agile/Scrum ceremonies and cross-functional collaboration.

Responsibilities

• Engineer cloud-based data pipelines using Python, Spark, and Airflow for ETL/ELT.
• Design and implement AI/ML and GenAI solutions to improve data quality.
• Develop robust data integration workflows and SQL-based validation.
• Create dashboards and real-time visuals for clinical and operational data.
• Develop automation tools using Python, R, and APIs to streamline data tasks.
• Partner with cross-functional teams, mentor junior engineers, advise leadership.
• Present technical innovations and guide enterprise adoption of scalable data solutions.

Education

Master’s degree in Computer Science, Data Science, Engineering, or related field

Tools

Python

Spark

Airflow

SQL

Selenium

Job description

Takeda Development Center Americas, Inc. is seeking a Principal Data Engineer in Cambridge, MA with 100% remote work option across the U.S. You will lead cloud data pipelines, AI/ML initiatives, and real-time dashboards to support clinical and operational decision-making.

The role requires a Master’s degree in a related field and hands-on experience with Python, Spark, Airflow, and SQL. You will mentor engineers, drive automation, and collaborate with cross-functional teams to advance