Senior Data Engineer - Databricks, Python & MongoDB

Flagler Health; Vancouver; On-site; CAD 85,000 - 120,000; Full time

Job summary

A fast-growing healthtech company is seeking a skilled data engineer to join their team in Vancouver. The role involves developing and managing data pipelines on the Databricks platform, writing efficient Python code, and managing data in MongoDB. The ideal candidate has proven experience with large-scale data processing and a strong understanding of data architecture. This position offers opportunities for personal and professional growth in a dynamic startup environment.

Qualifications

• Proven experience with Databricks and Spark compute.
• Strong Python skills, including API development.
• Familiarity with NoSQL databases, particularly MongoDB.
• Experience in large-scale data processing.

Responsibilities

• Develop and manage data pipelines on Databricks.
• Write clean and efficient Python code.
• Integrate and manage data in MongoDB.
• Collaborate with stakeholders to deliver data solutions.

Skills

Databricks expertise

Proficient in Python

MongoDB management

Problem-solving skills

Tools

Cloud platforms (AWS, Azure, GCP)

CI/CD and version control (Git)

Job description

A fast-growing healthtech company is seeking a skilled data engineer to join their team in Vancouver. The role involves developing and managing data pipelines on the Databricks platform, writing efficient Python code, and managing data in MongoDB. The ideal candidate has proven experience with large-scale data processing and a strong understanding of data architecture. This position offers opportunities for personal and professional growth in a dynamic startup environment.