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Description:
Cylinder is seeking a Senior Data Engineer to enhance the reusability, scalability, and efficiency of data engineering processes and infrastructure.
The role involves addressing challenging data ingestion, ETL/ELT, and access issues, understanding stakeholder needs, and delivering scalable solutions.
Responsibilities include designing and improving data pipelines, data testing, and quality controls while minimizing disruptions.
The position requires collaborating with cross-functional teams, mentoring junior engineers, and promoting best practices in coding and data management.
The company offers a compelling problem domain, opportunities for new discoveries, and a passionate team dedicated to improving clinical outcomes in the GI health space.
Requirements:
5+ years of experience in designing and implementing automated data pipelines, cloud infrastructure, databases, and workflow engines.
Proficiency in Google Cloud Platform (GCP) frameworks like BigQuery, Vertex AI Platform, IAM, Pub/Sub, Dataflow, Cloud Composer/Airflow, DLP, etc.
Strong skills in SQL, Python, and software engineering principles.
Experience with DBT or similar data transformation frameworks.
Ability to analyze and optimize system performance and improve data warehouse pipelines.
Excellent communication and interpersonal skills.
Bonus qualifications include experience with Terraform, medical/healthcare data, HIPAA regulations, and an advanced degree in Computer Science or related field.
Benefits:
Opportunity to work on cutting-edge technology in the healthcare industry.
Chance to shape the future of the company and make a meaningful impact on real people's lives.
Collaborative work environment with a distributed workforce.
Emphasis on data security and privacy controls.
Equal opportunity employer fostering diversity and inclusion.