Data Engineer
: Job Details :


Data Engineer

Yoh

Location: Princeton,NJ, USA

Date: 2024-12-16T23:41:09Z

Job Description:
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: Biopharmaceutical Key Responsibilities:
  • 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.
  • Work closely with product teams and business owners to understand requirements and deliver solutions that add business value.
  • 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.
  • Self-driven, with the ability to take responsibility from day one and contribute to the success of the team.
  • 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.
  • Strong teamwork skills, with the ability to collaborate, build on others' ideas, and share knowledge for collective success.
  • 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.
Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Visit to contact us if you are an individual with a disability and require accommodation in the application process.For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.
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