<p><strong>We're Hiring: Data Engineer (Clinical Research Data Platform)</strong></p><p>Are you a skilled Data Engineer with a passion for designing and maintaining critical data infrastructure? Do you thrive on managing large-scale data pipelines while ensuring data quality and governance for impactful decision-making? Join our team as a Senior Data Engineer for the Clinical Research Data Platform and play a vital role in transforming clinical data into actionable insights.</p><p><strong>About the Role</strong></p><p>We're looking for an experienced Backend Data Engineer to serve as the cornerstone of our Clinical Research Data Platform. In this role, you will focus on building and maintaining efficient, reliable data pipelines and a robust data lake to process massive volumes of clinical data from various systems. Your work will provide a single, trusted source of truth for data analysis and decision-making across our organization.</p><p><strong>Key Responsibilities</strong></p><ul><li>Data Pipeline Design &amp; Optimization: Design, develop, and optimize data extraction, loading, and transformation (ETL) processes from multiple clinical data sources, including CDMS, LIMS, safety databases, EHR systems, and more.</li><li>Data Lake/Warehouse Management: Build, manage, and optimize the company-wide clinical data lake/data warehouse using the Databricks platform.</li><li>Data Governance &amp; Quality Assurance: Implement robust data governance and quality control processes to ensure all data complies with industry standards and regulatory requirements.</li><li>Data Modeling: Design and evolve scalable, efficient data models that support downstream data analytics, machine learning, and reporting needs.</li><li>Performance &amp; Security: Ensure the stability, performance, and security of data pipelines while adhering to GCP (Good Clinical Practice) guidelines and data privacy regulations.</li></ul><p><strong>Qualifications</strong></p><ul><li>Proven experience as a Backend Data Engineer or in a similar role within the clinical research/data science domain.</li><li>Expertise in Databricks, modern ETL tools, and Big Data platforms.</li><li>Hands-on experience working with large-scale data processing systems and structured/unstructured clinical data (e.g., CDMS, LIMS, EHR).</li><li>Strong understanding of data governance, industry standards, and regulatory frameworks (e.g., GCP, GDPR).</li><li>Proficiency in database management, data modeling, and programming languages commonly used in data engineering (e.g., Python, SQL, Spark).</li><li>Demonstrated ability to ensure data security, privacy, and performance in data pipelines and storage solutions.</li><li>Excellent problem-solving, communication, and collaboration skills to work effectively across teams.</li></ul><p><strong>What We Offer</strong></p><ul><li>A pivotal role in clinical data transformation with high visibility and impact across the organization.</li><li>Opportunity to work with cutting-edge tools and technologies, including Databricks.</li><li>Competitive compensation package, including incentives and career development opportunities.</li><li>A collaborative and innovative work environment with a team of leading data scientists and clinical research professionals.</li></ul><p><strong> </strong></p><p><em>By clicking 'apply', you give your express consent that Robert Half may use your personal information to process your job application and to contact you from time to time for future employment opportunities. For further information on how Robert Half processes your personal information and how to access and correct your information, please read the Robert Half privacy notice https://www.roberthalf.cn/en/privacy-statement. Please do not submit any sensitive personal data to us in your resume (such as government ID numbers, ethnicity, gender, religion, marital status or trade union membership) as we do not collect your sensitive personal data at this time.</em></p><hr /><p>点击"申请"，即表示您明确同意 Robert Half 可以使用您的个人信息来处理您的工作申请，并不时与您联系以获得未来的就业机会。 如需进一步了解 Robert Half 如何处理您的个人信息以及如何访问和更正您的信息，请阅读 Robert Half 隐私声明<a href="https://nam02.safelinks.protection.outlook.com/?url=https://www.roberthalf.cn/en/privacy-statement&amp;data=05|01|[email protected]|45960615caf741a897da08db12e2448b|16532572d5674d678727f12f7bb6aed3|0|0|638124535281002861|Unknown|TWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0=|3000|||&amp;sdata=txey6FkFkoVyheBOucHzeYO1yTcFywlr7N4oX7M8axY=&amp;reserved=0">https://www.roberthalf.cn/en/privacy-statement</a> 。请不要在您的简历中向我们提交任何敏感的个人数据（例如身份证号码、种族、性别、宗教、婚姻状况或工会会员身份），因为我们此时不收集您的敏感个人数据。</p><img src="https://counter.adcourier.com/Sm9zZXBoLlpodS4yNDM0OS4xMDkyMUByaGljbi5hcGxpdHJhay5jb20.gif">