Senior Data Engineer

 
 
   Description:
Client is focused on delivering therapeutic and scientific breakthroughs in areas of critical patient need spanning psychiatry & neurology, oncology, urology, women's health, rare disease, and cell & gene therapies. The company's diverse portfolio includes several marketed products and a robust pipeline of early- to late-stage assets. Building on Sumitomo Pharma's 125-year legacy of innovation, SMPA leverages proprietary in-house technology platforms and advanced analytics capabilities to accelerate discovery, development, and help bring Client therapies to patients sooner. SMPA is a Sumitomo Pharma company.

   Job Overview:
We are currently seeking a dynamic, motivated, and highly experienced individual for the position of Contractor, Senior Data Engineer that is responsible for the design, development, and optimization of enterprise-scale data infrastructure and pipelines. With deep technical expertise and over a decade of experience, this individual supports the engineering strategy, ensures data platform scalability, and delivers high-quality data solutions. This individual excels in technical execution, ensuring data is accessible, reliable, and secure across the organization.
This is a Contract role and not a direct hire with SMPA.

   Job Duties and Responsibilities
· Data Pipeline Development
· Design scalable systems and build complex, end-to-end ETL (Extract, Transform, Load) pipelines to move data from various sources to data warehouses.
· Data Governance & Security
· Enforce strict data quality standards and ensure all system designs meet security compliance requirements.
· Leadership & Strategy
· Mentor junior engineers, translate complex business requirements into technical solutions.
· Performance Optimization
· Continuously monitor and troubleshoot data pipelines and databases to improve processing speed, scalability, and cost-efficiency.
· Collaboration & Stakeholder Support
· Ensure implemented Data Products meet the vision and goals of Data Consumers.
· Documentation & Best Practices
· Enforce and adhere to best practices for technical documentation related to architecture, transformation logic and coding standards.

         Experience and Education

Must have:
10+ years of prior experience as a Data Engineer working directly with Data Warehouses, Data Lakes, ELT/ETL, Data Pipelines
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field
Languages: Advanced proficiency in SQL and Python
Cloud Platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.
Data Warehouses & Frameworks: BigQuery or Redshift.
Orchestration & Streaming: Apache Airflow, dbt (data build tool).
US-based, Eastern/Central Time Zone
Fluent English Speaker

Nice-to-have:
15+ years of prior experience as a Data Engineer working directly with Data Warehouses, Data Lakes, ELT/ETL, Data Pipelines
Master's degree in Computer Science, Information Systems, Engineering, or a related technical field
Experience optimizing Data Pipelines
Prior experience working in the Pharma industry
Experience with BI Tools (e.g. Tableau)

Education:
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field
Master's degree in Computer Science, Information Systems, Engineering, or a related technical field is preferred

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