Senior Data Engineer
Takeda
2 hours ago
Remote
United States
$137,000 - $215,270 USD yearly
IT
Responsibilities:
- Architect, develop, and maintain scalable, high-performance data infrastructure and pipelines to support advanced analytics, business intelligence, and data science initiatives.
- Design and implement data pipelines for structured and unstructured data from diverse sources.
- Lead the development and management of enterprise-level data lakes and data warehouses for efficient data storage, transformation, and integration.
- Build and orchestrate ETL/ELT workflows using SQL and Python for reliable data processing.
- Design logical and physical data models to support analytical use cases.
- Collaborate with analysts and stakeholders to understand business requirements and deliver robust data engineering solutions on cloud platforms.
- 100% remote work allowed.
Requirements:
- Master’s degree in Computer Science, Data Analytics, Information Technology, or related field plus 3 years of related experience.
- Prior experience must include: designing and maintaining scalable data pipelines for structured and unstructured data; implementing and managing data lakes and warehouses; developing and orchestrating ETL/ELT workflows for data transformation and integration; designing logical and physical data models to support analytics use cases.
Benefits (if part of job description):
- Medical, dental, vision insurance; 401(k) plan and company match; short-term and long-term disability coverage; basic life insurance; tuition reimbursement program; paid volunteer time off; company holidays; well-being benefits.
- Up to 80 hours of sick time per calendar year; up to 120 hours of paid vacation for new hires.
Application Instructions:
- Apply at https://jobs.takeda.com and reference job #R0177944.
- Architect, develop, and maintain scalable, high-performance data infrastructure and pipelines to support advanced analytics, business intelligence, and data science initiatives.
- Design and implement data pipelines for structured and unstructured data from diverse sources.
- Lead the development and management of enterprise-level data lakes and data warehouses for efficient data storage, transformation, and integration.
- Build and orchestrate ETL/ELT workflows using SQL and Python for reliable data processing.
- Design logical and physical data models to support analytical use cases.
- Collaborate with analysts and stakeholders to understand business requirements and deliver robust data engineering solutions on cloud platforms.
- 100% remote work allowed.
Requirements:
- Master’s degree in Computer Science, Data Analytics, Information Technology, or related field plus 3 years of related experience.
- Prior experience must include: designing and maintaining scalable data pipelines for structured and unstructured data; implementing and managing data lakes and warehouses; developing and orchestrating ETL/ELT workflows for data transformation and integration; designing logical and physical data models to support analytics use cases.
Benefits (if part of job description):
- Medical, dental, vision insurance; 401(k) plan and company match; short-term and long-term disability coverage; basic life insurance; tuition reimbursement program; paid volunteer time off; company holidays; well-being benefits.
- Up to 80 hours of sick time per calendar year; up to 120 hours of paid vacation for new hires.
Application Instructions:
- Apply at https://jobs.takeda.com and reference job #R0177944.