Bionews, Inc.
Bionews, Inc. is a digital health solutions company focused on connecting and engaging rare disease patient communities. It provides trusted information, news, and therapeutic connections to empower over 50 rare disease communities, fostering a supportive environment for patients and caregivers. By incorporating the voices of those living with rare conditions, Bionews elevates patient and caregiver experiences and leads several patient communities. With a team primarily composed of individuals connected to rare diseases, Bionews provides authentic insights that shape their communications and partnerships, offering a significant impact in the realm of rare disease engagement and advocacy.
Media • Rare Disease • Health Information • Clinical Trial • Advertising
Senior Data Engineer
March 18
Bionews, Inc.
Bionews, Inc. is a digital health solutions company focused on connecting and engaging rare disease patient communities. It provides trusted information, news, and therapeutic connections to empower over 50 rare disease communities, fostering a supportive environment for patients and caregivers. By incorporating the voices of those living with rare conditions, Bionews elevates patient and caregiver experiences and leads several patient communities. With a team primarily composed of individuals connected to rare diseases, Bionews provides authentic insights that shape their communications and partnerships, offering a significant impact in the realm of rare disease engagement and advocacy.
Media • Rare Disease • Health Information • Clinical Trial • Advertising
📋 Description
• Design, build, and maintain scalable ETL pipelines that efficiently ingest and transform data from multiple sources. • Develop and optimize BigQuery data models for performance, scalability, and cost efficiency. • Integrate and manage a Customer Data Platform (CDP) to consolidate and activate user data across multiple channels. • Implement comprehensive data quality checks and monitoring systems to maintain data accuracy and reliability. • Manage data infrastructure on Google Cloud (GCP), optimizing for performance, scalability, and cost. • Engage directly in coding, problem-solving, and architecture refinement to continuously improve our data infrastructure.
🎯 Requirements
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience). • Extensive experience in data engineering, ETL development, and data warehousing within digital media, health tech, or similar industries. • Proven expertise in SQL, Python, BigQuery, and Dataform. • Familiarity with data integration tools and cloud-based platforms (preferably Google Cloud Platform) with data governance best practices is a plus. • Strong analytical skills and a commitment to data accuracy, integrity, and continuous improvement.
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