Senior Data Engineer

Key Responsibilities

• Spearheaded the discovery, evaluation, and integration of new datasets, collaborating (incl. pipeline development and data modeling/documentation) working closely with key data stakeholders to understand their impact and relevance to our core products and the healthcare domain.
• Translate product / analytical vision into highly functional data pipelines supporting high-quality & highly trusted data products (incl. designing data structures, building and scheduling data transformation pipelines, improving transparency etc).
• Set the standard for data engineering practices within the company, guiding the architectural approaches, data pipeline designs, and the integration of cutting-edge technologies to foster a culture of innovation and continuous improvement.

• Excellent cross-functional communication - the ability to break down complex technical components for technical and non-technical partners alike
• Innate aptitude for interpreting complex datasets with demonstrated ability to discern underlying patterns, identify anomalies, and extract meaningful insights, demonstrating advanced data intuition and analytical skills. (Healthcare experience preferred)
• Excellence in quality data pipeline design, development, and optimization to create reliable, modular, secure data foundations for the organizations data delivery system from applications to analytics & ML
• Proven ability to independently handle ambiguous project requirements and lead data initiatives from start to finish, while collaborating extensively with cross-functional, non-technical teams to inform and shape product development.

Nice to Have Skills

• Relevant industry certifications in a variety of Data Architecture services (SnowPro Advanced Architect, Azure Solutions Architect Expert, AWS Solutions Architect / Database, Databricks Data Engineer / Spark / Platform etc)
• Experience with MLOps and/or developing and maintaining machine learning models and infrastructure
• Experience with data visualization tools and analytics technologies (Looker, Tableau, etc)
• Degree in Computer Science, Engineering, or related field