Data Modellers

1 week ago


princeton, United States Yoh Full time
Yoh is seeking an experienced Data Engineer who will be responsible for designing, building, and operating data solutions tailored to business requirements. You will collaborate closely with various business teams to ensure optimal data practices and efficient processes are followed. Your role will involve blending data from multiple sources, contributing to business-oriented data projects, and collaborating with other product teams and stakeholders to create seamless data workflows.
 
Job Title: Data Engineer
Salary: $60-80/hr DOE
Location: Princeton, NJ 08540
Job Type: Contract/ Hybrid, On-Site
Industry: br>
  • Design, develop, and maintain data solutions that meet business requirements.
  • Advise business units on best data practices, ensuring data quality and efficient processes.
  • Contribute to business-oriented data projects, collaborating with cross-functional teams.
  • Integrate and transform data from multiple sources to create unified data sets.
  • Ensure scalable and efficient data loads and solutions using industry best practices.
 
Qualifications:
  • Pharmaceutical domain knowledge is required, with direct experience working on data solutions for Patient Support Programs, Specialty Pharmacy and other relevant data sources.
  • Experience in managing and processing regulated data (e.g., clinical trial data, Patient Support) and ensuring compliance with relevant regulations
  • Knowledge of pharma-specific data standards and protocols, such as CDISC (Clinical Data Interchange Standards Consortium) or working with de-identified PHI.
  • 4+ years of hands-on experience in data engineering and Azure cloud services.
  • Strong practical knowledge of Python and SQL for data processing and pipeline development.
  • Experience in designing and delivering data solutions, including data load patterns and platform architecture.
  • Familiarity with DevOps principles, CI/CD pipelines, and cloud-based data platforms.
  • Experience with Azure Data Factory, Azure Synapse Analytics, and other Azure cloud services is preferred.
  • Agile and adaptable, with a focus on delivering results rather than individual success.
  • A passion for data, with a curiosity to continuously learn and find innovative solutions.
  • Robust, business-oriented mindset with an understanding of the broader business impact of data solutions.
  • Excellent proficiency in English, both written and spoken, at a professional level.
 
Educational Requirements:
  • Bachelor's degree in Computer Science, IT, Engineering, or a related field is preferred.

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