Principal Java Data Engineer

Employer Industry: Health Technology

• Salary up to $203,000
• Opportunity for career advancement and growth within the organization
• Benefits starting from Day 1, including retirement plan matching and flexible paid time off
• Supportive wellness programs and resources, including parental and caregiver leave
• Chance to make a positive impact on the healthcare industry, particularly for seniors and their caregivers
• Collaborative and innovative work environment that embraces AI and modern technologies

• Lead and guide the design and implementation of scalable distributed systems based on Java microservices
• Engineer and optimize data pipelines using solutions like Apache Hudi, Apache Trino, and Azure ADLS
• Collaborate cross‑functionally with product, analytics, and AI teams to ensure data is a strategic asset
• Advance ongoing modernization efforts, deepening adoption of event‑driven architectures and cloud‑native technologies
• Drive adoption of best practices in data governance, observability, and performance tuning for data workloads

• 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

• Proven experience with Lakehouse architectures and related technologies, including Apache Hudi, Azure ADLS Gen2, HDFS, and other big data 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

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