Senior Data Engineer – Backend
Skills
About the role
This is a senior backend data engineering role at Flagler Health, working hybrid from Vancouver, building data pipelines on Databricks and Spark. It suits an experienced data engineer strong in Python and MongoDB who wants to support a clinical operating system for musculoskeletal care. The role works closely with data scientists and analysts to deliver reliable data infrastructure.
What you’ll do
- Develop, manage and optimize data pipelines on the Databricks platform.
- Debug and troubleshoot Spark applications for reliability and performance.
- Write clean, reusable Python code using object-oriented principles.
- Design and build APIs supporting data integration and application needs.
- Develop scripts and tools to automate data processing and workflows.
- Integrate, query and manage data within MongoDB.
- Optimize MongoDB performance for large-scale data handling.
- Work with data scientists and analysts to deliver data solutions.
What they’re looking for
- Proven experience with Databricks and Spark compute.
- Proficient in Python, including object-oriented programming and API development.
- Familiarity with NoSQL databases, MongoDB preferred.
- Strong problem-solving and debugging skills for data processing tasks.
- Experience with large-scale data processing and distributed systems.
- Strong understanding of data architecture, ETL and data warehousing.
Nice to have
- Knowledge of Delta Lake, Hadoop or Kafka.
- Experience with cloud platforms such as AWS, Azure or GCP.
- Familiarity with CI/CD pipelines and Git.
What’s on offer
- Hybrid work model in Vancouver.
Questions about this role
Is this role remote?
No, it's hybrid, based in Vancouver.
What technologies does this role use?
The role centers on Databricks, Spark, Python and MongoDB.
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