Manufacturing Development Engineer scaling Arbutus Medical’s procedure - kit production from prototypes to reliable manufacturing. Bridging product development, suppliers, quality, and operations for surgical medical devices.
About the role
- Senior Data Engineer implementing data engineering strategy at Ensemble. Building scalable data pipelines and platforms for analytics and operational reporting.
Responsibilities
- Develop, test, deploy, monitor, and continuously improve scalable data pipelines and API integrations
- Apply generative AI tools in day-to-day engineering work to accelerate development and improve quality
- Translate product and business concepts into incremental, high-quality technical deliverables
- Contribute through hands-on design sessions and thorough code reviews
- Implement data quality monitoring to ensure accurate, reliable production data
- Review and recommend architectural patterns aligned with enterprise platforms and best practices
- Consistently applies generative AI in day‑to‑day engineering work - using it to accelerate development, improve code quality, troubleshoot complex systems, and design scalable data solutions
Requirements
- 5+ years of hands-on experience developing solutions using Microsoft SQL
- 3+ years working with big data technologies such as Databricks, Apache Spark, Python, and Microsoft Azure (ADF, Dataflows, Azure Functions, Service Bus)
- Strong understanding of engineering fundamentals including automated testing, code reviews, telemetry, iterative delivery, and DevOps
- Experience with polyglot storage architectures including relational, columnar, key-value, and graph systems
- Hands-on experience with Delta Lake tables and Parquet data stored in ADLS
- Experience building distributed, componentized applications using event-driven patterns
- Ability to communicate effectively with both technical and non-technical, globally distributed audiences
- Solid foundation in software architecture, design patterns, and engineering best practices
- Experience working with healthcare datasets; familiarity with HL7 or EDI is a plus
- High attention to detail and a strong sense of ownership.
Benefits
- Health insurance
- Time off
- Retirement plans
- Well-being programs
- Professional development opportunities
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