Remote Senior Data Engineer

37537567 Remote Senior Data Engineer, 12 Months Contract Sigma Systems is currently looking for a Remote Senior Data Engineer 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. 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. Requirements: 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)