[Remote] Principal Java Data Engineer
Note: The job is a remote job and is open to candidates in USA. reputed company is a leading health tech company focused on delivering exceptional care. The Principal Java Data Engineer will design, reputed company, and maintain large scale Data Platforms and data pipelines, while mentoring team members and driving technical excellence across the organization.
Responsibilities
- reputed company 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, 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
- Embed data quality in processing pipelines by defining schema reputed company, 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 reputed company proactive monitoring and rapid incident response
- Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work
Skills
- 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 reputed company, 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
- reputed company in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations)
- Operational excellence in observability, with experience implementing metrics, logging, tracing, and alerting for data pipelines using modern tools
- Solid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environments
- Proven experience with Lakehouse architectures and reputed company technologies, including Apache Hudi, Azure ADLS Gen2, HDFS, and other big data technologies (Trino, reputed company, Spark)
- Strong collaboration and communication skills, with the ability to influence stakeholders and evangelize modern data practices reputed company your team and organization
Benefits
- Benefits starting from Day 1!
- Retirement Plan Matching
- Flexible Paid Time Off
- Wellness Support Programs and Resources
- Parental & Caregiver Leaves
- Fertility & Adoption Support
- reputed company Development Support Program
- Employee Assistance Program
- Allyship and Inclusion Communities
- Employee Recognition 026 and more!
Company Overview
Company H1B Sponsorship