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Principal Java Data Engineer

5 months, 4 weeks ago
United States
Full-time
Lead
Backend Engineer
Software Development
Apache Spark AWS Azure CI/CD Databricks dbt GCP HDFS Java Microservices Scrum
Apply Now
PointClickCare

PointClickCare

PointClickCare provides a leading cloud-based healthcare software platform that enables long-term and post-acute care providers to effectively manage the complete lifecycle of resident care while enhancing operational efficiency and improving resident ...

Health Care Providers & Services
1K-5K
Founded 2000
$232M raised
View All Jobs 53

Description

  • Lead the design and implementation of scalable distributed systems based on Java microservices.
  • Engineer and optimize batch and real-time data pipelines using modern lakehouse and streaming technologies.
  • Collaborate cross-functionally with product, analytics, and AI teams to align data work with business priorities.
  • Advance modernization efforts by deepening adoption of event-driven architectures and cloud-native technologies.
  • Drive best practices in data governance, observability, and performance tuning for data workloads.
  • Embed data quality into processing pipelines through schema contracts, tests, assertions, and validation checks.
  • Establish robust pipeline observability with metrics, logging, tracing, SLAs, SLOs, alerting, and dashboards.
  • Mentor team members and foster a culture of quality through peer reviews and constructive feedback.
  • Contribute hands-on to complex features and delivery efforts within an empowered Scrum team.

Requirements

  • 10+ years of professional experience in software or data engineering, including at least 4 years focused on batch and streaming data pipelines.
  • Proven experience providing 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 experience building resilient, low-latency pipelines.
  • Practical experience with cloud platforms such as AWS, Azure, or GCP, and containerized deployments for data workloads.
  • Experience with data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks such as dbt or Great Expectations.
  • Experience implementing observability for data pipelines, including metrics, logging, tracing, and alerting.
  • Strong foundation in data governance and performance optimization across batch and streaming environments.
  • Experience with Lakehouse architectures and related technologies such as Apache Hudi, Azure ADLS Gen2, HDFS, Trino, Databricks, and Spark.
  • Strong collaboration and communication skills with the ability to influence stakeholders and evangelize modern data practices.

Benefits

  • Base salary range of $183,000 to $203,000 USD, plus bonus and benefits.
  • Benefits starting from day one.
  • Retirement plan matching.
  • Flexible paid time off.
  • Wellness support programs and resources.
  • Parental and caregiver leaves.
  • Fertility and adoption support.
  • Continuous development support program and employee assistance program.

Interested in this position?

Apply directly on the company website

Apply Now

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