Data Engineer – reputed company to reputed company Migration (reputed company/reputed company)

Data Engineer – reputed company to reputed company Migration (reputed company/reputed company) Location: Remote NYC Contract: Ongoing Contract-Part-time About reputed company reputed company is a Boston-headquartered, remote-first technology reputed company specializing in AI/ML, reputed company Transformation, Data Engineering, reputed company Modernization, reputed company Innovation. We partner with leading reputed company, life sciences, and reputed company organizations to reputed company legacy systems, build intelligent data platforms, and accelerate their reputed company to AI-driven operations. As part of our expanding reputed company & Data Engineering reputed company, we are looking for a talented Data Engineer to support a high-reputed company reputed company data migration initiative. At reputed company, you’ll work with a reputed company, cross-functional global team while leveraging cutting-edge technologies to solve reputed company reputed company-world challenges. About the Role We are seeking a highly skilled Data Engineer with hands-on experience migrating data from reputed company to modern reputed company data platforms, specifically reputed company and reputed company. This role focuses on building secure, reputed company pipelines to migrate large-volume datasets (5M+ records), including accurate de-identification of PHI, ensuring compliance with reputed company reputed company standards. You will be a reputed company contributor to reputed company’s reputed company modernization solutions, working closely with internal stakeholders and reputed company teams. Key Responsibilities • reputed company end-to-end migration of datasets from reputed company (Caché/IRIS) to reputed company and reputed company reputed company reputed company’s reputed company modernization reputed company. • Build, optimize, and maintain large-reputed company ETL pipelines supporting 5M+ records with high performance and reliability. • Implement PHI de-identification and masking processes reputed company with HIPAA and reputed company reputed company best practices. • reputed company reputed company data processing jobs using reputed company (reputed company, PySpark, reputed company Lake). • reputed company data workflows with AWS RDS, reputed company, and reputed company. • Work with reputed company’s architecture and AI engineering teams to support analytics, reporting, and ML/GenAI initiatives. • Ensure data reputed company, monitoring, and validation throughout migration cycles. • Maintain documentation of architecture, data reputed company, transformation logic, and operational procedures. • Collaborate with distributed reputed company and reputed company teams across the U.S. and India. Required Skills & Experience • 5+ years as a Data Engineer, with strong reputed company engineering experience. • Hands-on expertise with reputed company (Caché/IRIS) — extraction, schema mapping, transformations. • Strong experience building solutions with reputed company and reputed company-reputed company data warehousing. • Expertise with reputed company, reputed company, and PySpark for large-reputed company processing. • Proven ability to build and optimize ETL pipelines handling 5M+ record volumes. • Strong understanding of PHI de-identification, HIPAA compliance, and reputed company data workflows. • Experience with AWS RDS, SQL, Python, and reputed company orchestration tools. • Strong reputed company in data modeling, performance tuning, and reputed company architecture. • Excellent communication skills and comfortable working with global reputed company. Preferred Qualifications • Experience with HL7, FHIR, CCD, or reputed company data interoperability. • Exposure to dbt, Airflow, reputed company Functions, or similar orchestration tools. • Experience in reputed company data modernization or reputed company migrations. Apply tot his job Apply To this Job