Senior Data Engineer

Senior Data EngineerWe 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 ResponsibilitiesData Pipeline DevelopmentDesign scalable systems and build complex, end-to-end ETL (Extract, Transform, Load) pipelines to move data from various sources to data warehouses.Data Governance & SecurityEnforce strict data quality standards and ensure all system designs meet security compliance requirements.Leadership & StrategyMentor junior engineers, translate complex business requirements into technical solutions.Performance OptimizationContinuously monitor and troubleshoot data pipelines and databases to improve processing speed, scalability, and cost-efficiency.Collaboration & Stakeholder SupportEnsure implemented Data Products meet the vision and goals of Data Consumers.Documentation & Best PracticesEnforce and adhere to best practices for technical documentation related to architecture, transformation logic and coding standards.Skills: Must Have10+ years of prior experience as a Data Engineer working directly with Data Warehouses, Data Lakes, ELT/ETL, Data PipelinesBachelor's degree in Computer Science, Information Systems, Engineering, or a related technical fieldLanguages: Advanced proficiency in SQL and PythonCloud 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 ZoneFluent English SpeakerNice-to-Have15+ years of prior experience as a Data Engineer working directly with Data Warehouses, Data Lakes, ELT/ETL, Data PipelinesMaster's degree in Computer Science, Information Systems, Engineering, or a related technical fieldExperience optimizing Data PipelinesPrior experience working in the Pharma industryExperience with BI Tools (e.g. Tableau)EducationBachelor's degree in Computer Science, Information Systems, Engineering, or a related technical fieldMaster's degree in Computer Science, Information Systems, Engineering, or a related technical field is preferredCompensationThe hourly rate for this position is between $114.82-126.31 per hour. Factors which may affect starting pay within this range may include [geography/market, skills, education, experience and other qualifications of the successful candidate].BenefitsSunrise offers ACA compliant medical coverage/dental insurance/vision insurance to all employees. We also offer Sick time benefits as required per State regulations.