Senior Data Engineer

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. 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) Pay ranges between 110-120/hr based on experience