Principal Java Data Engineer

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Travel to Office expectations • For Remote Roles: in‑office events that require travel to Mississauga or Salt Lake City for onboarding, team events, and semi‑annual/annual meetings. • For Hybrid Roles: must reside within commutable distance to the specified office/location and attend weekly/bi‑weekly/monthly office events with the team.

Collaborate cross‑functionally with product, analytics, and AI teams to ensure data is a strategic asset. Advance modernization efforts, deepen adoption of event‑driven architectures and cloud‑native technologies.

Operational excellence in observability, with experience implementing metrics, logging, tracing, and alerting for data pipelines using modern tools. Strong collaboration and communication skills, with the ability to influence stakeholders and evangelize modern data practices within your team and organization.

Benefits & Perks Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition and more!

Job Overview PointClickCare is searching for a Principal Software Data Engineer to contribute to all phases of the software development life cycle, designing, developing, and maintaining large‑scale data platform and data pipelines based on microservices architecture.

Day‑to‑Day Responsibilities Lead and guide the design and implementation of scalable distributed systems based on Java microservices. Engineer and optimize data pipelines using solutions such as Apache Hudi, Apache Trino, Azure ADLS. Drive adoption of best practices in data governance, observability, and performance tuning for data workloads.

Embed data quality in processing pipelines by defining schema contracts, implementing transformation tests and data assertions, enforcing backward‑compatible schema evolution, and automating checks for freshness, completeness, and accuracy across batch and streaming paths before production deployment.

Establish robust observability for data pipelines by implementing metrics, logging, and distributed tracing for streaming jobs, defining SLAs and SLOs for latency and throughput, and integrating alerting and dashboards to enable proactive monitoring and rapid incident response.

Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work. Qualifications Principal Software Data Engineer with at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on data pipelines (batch and streaming).

Proven experience driving technical direction and mentoring engineers while delivering complex, high‑scale solutions as a hands‑on contributor. Strong understanding of event‑driven architectures and distributed systems, with hands‑on experience implementing resilient, low‑latency pipelines.

Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads. Fluency in data quality practices and CI/CD integration, including schema management, automated testing and validation frameworks (e.g., dbt, Great Expectations).

Solid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environments. Proven experience with Lakehouse architectures and related technologies, including Apache Hudi, Azure ADLS Gen2, HDFS and other big data technologies (Trino, Databricks, Spark).

Equal Employment Opportunity Statement PointClickCare is an equal‑employment‑opportunity employer and is committed to providing a safe, respectful, and inclusive workplace free of discrimination. The company welcomes applications from people with disabilities. Accommodations are available for candidates during the selection process. #J-18808-Ljbffr

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