Senior Data Engineer - Remote

Overview

As a Senior Data Engineer, you will be instrumental in designing, developing, and optimizing Bionews’ data infrastructure, ensuring data is accurate, reliable, and actionable for strategic decision-making across the company.

In Short

• Design, build, and maintain scalable ETL pipelines.
• Develop and optimize BigQuery data models.
• Integrate and manage a Customer Data Platform (CDP).
• Implement data quality checks and monitoring systems.
• Manage data infrastructure on Google Cloud (GCP).
• Collaborate with cross-functional teams on data solutions.
• Stay current with industry trends and emerging tools.
• Drive continuous improvements in the data ecosystem.
• Support ad-hoc data requests and urgent initiatives.
• Work in a collaborative and innovative company culture.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
• Extensive experience in data engineering and ETL development.
• Proven expertise in SQL, Python, BigQuery, and Dataform.
• Familiarity with cloud-based platforms and data governance.
• Strong analytical skills and commitment to data accuracy.

Benefits

• Inclusive culture that champions humility and respect.
• Transparency and accountability at the core of the organization.
• Opportunity to make a tangible impact on people's lives.
• Dynamic workforce dedicated to empowering rare disease communities.
• Collaborative and innovative work environment.