Senior Data Engineer

Title: Senior Data Engineer Duration: 12 Months Location: Remote 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 #TB\_IT #ZR Why TalentBurst? At TalentBurst, we deliver more than talent, we deliver outcomes. We partner with you to move quickly and connect you to opportunities aligned with your skills and long term growth. Backed by precision, transparency, and results, we connect top talent with leading organizations through trusted partnerships. We offer competitive compensation and comprehensive benefits, including medical, dental, vision, and retirement options. TalentBurst is an equal opportunity employer committed to an inclusive and diverse workforce.