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Senior Data Engineer - Backend at Flagler Health | Vancouver

Flagler HealthVancouver Office
On-site Full-time

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Experience Level

Senior

Qualifications

Required Qualifications• Extensive experience with Databricks and Spark computing.• Proficiency in Python, particularly in object-oriented programming and API development.• Familiarity with NoSQL databases (MongoDB preferred), including querying, data modeling, and performance optimization.• Strong analytical and problem-solving skills with a proven ability to debug and optimize data processing tasks.• Experience in handling large-scale data processing and distributed systems. Preferred Qualifications• In-depth knowledge of data architecture, ETL processes, and data warehousing concepts.• Experience with other big data technologies such as Delta Lake, Hadoop, or Kafka.• Familiarity with cloud platforms (e.g., AWS, Azure, or GCP).• Knowledge of CI/CD pipelines and version control systems like Git.

About the job

Join Flagler Health, a dynamic healthtech innovator, as we revolutionize the delivery of healthcare services through cutting-edge AI-driven workflow automation, remote patient engagement, and comprehensive chronic care programs. Our platform has positively impacted over 1.5 million patients and is a trusted partner for healthcare providers and payers aiming to improve operational efficiency and patient outcomes while reducing costs. With a unique freemium model and limited competition, we are set to capture a significant portion of the $4.5 trillion U. S. healthcare market.

Key Responsibilities

Databricks Platform Expertise
• Design, manage, and enhance data pipelines utilizing the Databricks platform.
• Troubleshoot and debug Spark applications to ensure optimal performance and reliability.
• Apply best practices in Spark computing and workload optimization.
Python Development
• Write clean, efficient, and reusable Python code adhering to object-oriented principles.
• Develop APIs to facilitate data integration and application functionality.
• Create scripts and tools that automate data processing and workflows.

MongoDB Management
• Manage, query, and integrate data within MongoDB.
• Ensure efficient data storage and retrieval tailored to application needs.
• Optimize MongoDB's performance for handling large datasets.
Collaboration and Problem Solving
• Collaborate closely with data scientists, analysts, and stakeholders to address data requirements and deliver effective solutions.
• Identify and resolve technical challenges related to data processing and system architecture.

About Flagler Health

At Flagler Health, we are at the forefront of health technology, transforming the way healthcare is delivered. Our innovative solutions leverage artificial intelligence to enhance patient engagement and streamline healthcare workflows, making us a leader in the healthtech industry.

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