Senior Data Engineer

  We are a national staffing firm and are currently seeking a Sr. Data Engineer for a prominent client of ours.  This position is REMOTE.  Must be in EST or CST only. Details of the position are as follows: Job Details: • Pay: Market rate / Open bid. • 12-month assignment, possibility extension based upon performance and budget. • Monday - Friday, Standard hours in EST time zone (REMOTE). • 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. • Design scalable systems and build complex, end-to-end ETL (Extract, Transform, Load) pipelines to move data from various sources to data warehouses. • Enforce strict data quality standards and ensure all system designs meet security compliance requirements. • Mentor junior engineers, translate complex business requirements into technical solutions. • Continuously monitor and troubleshoot data pipelines and databases to improve processing speed, scalability, and cost-efficiency. • Ensure implemented Data Products meet the vision and goals of Data Consumers. • Enforce and adhere to best practices for technical documentation related to architecture, transformation logic and coding standards. Qualifications: • Minimum of 10+ years of prior experience as a Data Engineer working directly with Data Warehouses, Data Lakes, ELT/ETL, Data Pipelines. • Bachelor's degree in STEM field required. Master's degree in Computer Science, Information Systems, Engineering, or a related technical field preferred. • Prior experience working in the Pharma / Biotech industry. • Languages: Advanced proficiency in SQL and Python. • Cloud Platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure. • Data Warehouses & Frameworks: BigQuery and/or Redshift. • Orchestration & Streaming: Apache Airflow, dbt (data build tool). • Fluent English Speaker • Experience optimizing Data Pipelines is nice to have. • Experience with BI Tools (e.g. Tableau) is nice to have.