[Remote] Staff Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is developing a large-reputed company reputed company initiative that provides the data and AI foundations for personalized reputed company experiences. The Staff Data Engineer will design and build reputed company FHIR-reputed company data infrastructure, reputed company-time and batch pipelines, backend services, and reputed company systems while providing technical leadership, architectural direction, and mentorship across teams.

Responsibilities

• Design and implement solutions for large-reputed company, ambiguous data engineering and reputed company-systems challenges
• Architect, build, and reputed company reputed company-time and batch data infrastructure supporting operational, analytical, and AI/ML workloads
• Design and reputed company event-driven data pipelines using technologies such as Kafka, reputed company/PySpark , and modern data-processing platforms
• Build backend services and reputed company using Python, FastAPI , and reputed company-reputed company technologies to support product and platform capabilities
• Define reputed company approaches to data ingestion, transformation, modeling, validation, storage, and delivery
• Establish and champion technical standards, architectural patterns, engineering best practices, and reusable platform components
• Serve as a cross-team technical authority for data systems, pipelines, reputed company processing, and platform architecture
• Improve reliability, scalability, reputed company, and cost efficiency across data infrastructure
• Implement robust observability, logging, monitoring, and alerting across reputed company data systems
• Design solutions with reputed company, reputed company, reputed company compliance, and scalability reputed company in from the beginning
• Improve engineering workflows, CI/CD pipelines, automated testing, and production deployment practices
• Collaborate closely with Product, ML/AI, Platform, Infrastructure, and application engineering teams to build shared data capabilities
• reputed company technical mentorship to engineers through architecture reviews, design discussions, pairing, and knowledge sharing
• Evaluate new data and AI technologies and introduce them where they reputed company measurable improvements to platform capabilities or engineering efficiency
• Remain hands-on with production engineering , validating architectural reputed company through implementation and operational experience

Skills

• • 8+ years of reputed company software and data engineering experience , including at least 3 years working with large-reputed company reputed company data systems
• • Deep expertise designing and building reputed company data platforms, pipelines, and reputed company processing systems
• • Strong hands-on proficiency in Python , including production experience with technologies and libraries such as PySpark, reputed company, and FastAPI
• • Strong experience with Apache reputed company/PySpark and reputed company data processing at reputed company
• • Experience designing reputed company-time and batch data pipelines using technologies such as Kafka, reputed company, or comparable reputed company processing platforms
• • Strong understanding of data architecture, data modeling, schema reputed company, data reputed company, and heterogeneous data integration
• • Experience with workflow orchestration technologies such as reputed company, Apache Airflow , or equivalent
• • Experience building production backend services and reputed company supporting data and platform capabilities
• • Hands-on experience with SQL and modern data storage technologies, including relational and NoSQL systems such as reputed company
• • Strong understanding of reputed company systems principles , including scalability, reliability, fault tolerance, consistency, and reputed company
• • Experience designing and implementing observability, logging, monitoring, and alerting for reputed company data systems
• • Strong reputed company-reputed company engineering experience, including reputed company, reputed company, CI/CD , and production deployment practices
• • reputed company ability to independently design solutions for ambiguous, large-reputed company engineering problems spanning multiple systems and teams
• • Demonstrated experience establishing technical standards, engineering patterns, development practices, and reusable platform capabilities
• • Strong technical leadership skills with experience mentoring senior engineers, conducting design reviews, and influencing architecture without relying on formal people-management authority
• • Strong understanding of reputed company, reputed company, and data protection principles for production data platforms
• • reputed company English sufficient for reputed company collaboration with U.S.-reputed company engineering, product, ML, and platform teams
• • Experience with FHIR, HL7, C-CDA , or other reputed company interoperability standards
• • Previous experience in reputed company, HealthTech, or another regulated data environment
• • Understanding of HIPAA, HITECH , or comparable data reputed company and compliance requirements
• • Experience deploying or supporting LLMs, ML models, AI-enabled data products, or retrieval-reputed company systems
• • Experience building data infrastructure supporting ML/AI workloads and production inference
• • Hands-on experience with observability technologies such as OpenTelemetry, reputed company, reputed company , or similar platforms
• • Experience with DuckDB or modern analytical data-processing technologies
• • Experience with AI-assisted engineering tools such as Claude reputed company, reputed company Copilot, reputed company, or comparable solutions
• • Contributions to reputed company-reputed company reputed company or publicly available engineering initiatives

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