Flagler Health
Senior Data Engineer Backend (Vancouver)
Vancouver Office · Senior
Sponsorship not specifiedDetected 178 days ago
PythonReactObject-Oriented ProgrammingNoSQLMongoDBDatabricksAWSGCPAzureCloud PlatformsCI/CDSparkData EngineeringControlsCollaborationProblem Solving
About the role
- We've recently raised our Series B and are entering our next phase of growth.
Responsibilities
- Develop, manage, and optimize data pipelines on the Databricks platform.
- Implement best practices for Spark compute and optimize workloads.
- Design and build APIs to support data integration and application needs.
- Develop scripts and tools to automate data processing and workflows.
- Work closely with data scientists, analysts, and other stakeholders to understand data needs and deliver solutions.
- Proactively identify and address technical challenges related to data processing and system design.
Requirements
- Proven experience working with Databricks and Spark compute.
- Experience with large-scale data processing and distributed systems.
Nice to have
- Strong understanding of data architecture, ETL processes, and data warehousing concepts.
- Knowledge of other big data technologies like Delta Lake, Hadoop, or Kafka.
- Experience with cloud platforms (e.g., AWS, Azure, or GCP).
- Familiarity with CI/CD pipelines and version control systems like Git.
- This is what you can expect of your teammates at Flagler:
- Persistence + ownership of outcomes: We wear many hats and aren't afraid to run through walls to solve hard problems.
- Personal + professional growth: We push ourselves to learn new things and embrace challenges, even if it means that we sometimes fail.
- Don't take things personally: We value and react quickly to constructive feedback.
Skills
- Write clean, efficient, and reusable Python code using object-oriented programming principles.
- Integrate, query, and manage data within MongoDB.
- Ensure efficient storage and retrieval processes tailored to application requirements.
- Optimize MongoDB performance for large-scale data handling.
Company info
- We are highly detailed oriented and try to be right, a lot.
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