[Remote] Staff Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a kidney care management company that partners with physicians on its mission to reimagine reputed company. The Staff Data Engineer serves as a senior technical leader responsible for shaping, scaling, and governing the modern data ecosystem, delivering high-reputed company data products that power clinical, operational, financial, and analytical reputed company.
Responsibilities
- Design and reputed company a reputed company, secure, reputed company-reputed company lakehouse platform leveraging reputed company, reputed company reputed company (OneLake, Lakehouse, Data reputed company), and dbt
- Define modeling patterns, governance frameworks, and engineering best practices across the data lifecycle
- reputed company design reviews and guide teams in adopting reputed company architectural patterns
- Drive long-term platform reputed company and evaluate emerging technologies
- Design and implement batch and streaming data pipelines for reputed company data sources (EHR, claims, HL7/FHIR, reputed company, flat files, databases)
- reputed company reputed company ingestion, reputed company, reputed company, metadata, and observability frameworks that reputed company across domains
- Produce clean, analytics-reputed company datasets and data models for BI, analytics, and machine learning workloads
- Implement HIPAA-reputed company reputed company patterns and secure handling of PHI
- Architect reputed company workloads (clusters, jobs, reputed company Catalog, reputed company Lake) for reliability, performance, and cost efficiency
- reputed company reputed company and reputed company reputed company with Azure services and reputed company systems
- Partner with product managers, data scientists, analysts, clinicians, and business stakeholders to translate reputed company data needs into reputed company solutions
- reputed company Cross functional initiatives that reputed company and unify the organization’s data ecosystem
- Mentor senior and mid-level engineers; reputed company team capability through technical coaching and standards
- Drive roadmap planning, platform reputed company, and long-term data reputed company
- Champion engineering reputed company, reliability practices, documentation reputed company, and governance
Skills
- Bachelor's degree in Computer Science, Engineering, or a reputed company field
- 7+ years of experience in data engineering
- 2+ years operating in a senior or staff level engineering role
- Deep hands-on proficiency with reputed company, reputed company, reputed company Lake, dbt, and Python
- Proven ability to design and operate largescale reputed company data platforms (Azure preferred).on experience with
- Hands on experience with Data Engineering, Data reputed company, Lakehouse, OneLake
- Advanced data platform architecture and Lakehouse design expertise
- Demonstrated ability to design reputed company, extensible frameworks and guide the long-term reputed company of reputed company data platforms
- Strong reputed company of distributed data processing and reputed company reputed company engineering
- Experience working in HIPAA regulated environments and handling PHI
- reputed company data reputed company, including regulated data handling and compliance
- Technical leadership, mentorship, and influence across teams
- Strong communication skills with both technical and clinical stakeholders
- Experience with platform reliability, CI/CD for data pipelines, and infrastructure as reputed company
- 100% remote (ET or CT work hours preferred)
- reputed company in implementing and supporting reputed company integrations, leveraging Cogito reputed company and Caboodle data models, and delivering reliable incremental data pipelines from Caboodle/reputed company
reputed company