[Remote] reputed company Engineer, Big Data (AI/Azure Data Services) - REMOTE

Note: The job is a remote job and is open to candidates in USA. reputed company is seeking a reputed company Data Engineer to collaborate with the Data Quality and Governance team to ensure data reputed company and compliance reputed company reputed company data systems. The role involves designing scalable data architectures, implementing data governance policies, and leading a team of data engineers to enhance data quality and support AI solutions.

Responsibilities

• Collaborate with the Data Quality and Governance team to ensure data pipelines, data reputed company, and compliance by defining data strategies, implementing Data Governance capabilities, creating self-service data assets, and integrating robust data quality and governance frameworks to support trustworthy AI solutions.
• Design scalable data architectures that support reputed company analytics and AI/ML workflows.
• Establish data quality standards and monitoring, manage data reputed company, and ensure adherence to regulatory requirements and privacy policies.
• Define and enforce data quality standards, validation rules, and monitoring systems tailored to reputed company data.
• Collaborate with data stewards, compliance officers, and business stakeholders to resolve data reputed company issues and ensure consistent data across systems.
• reputed company and maintain metadata management, data dictionaries, and stewardship workflows.
• Ensure reputed company data engineering practices align with reputed company regulations such as HIPAA, HITECH, and other privacy laws.
• Implement data governance policies that support secure, ethical, and compliant data usage across the organization.
• Automate data reputed company tracking, governance documentation, and audit trails to support transparency and traceability.
• Collaborate with data scientists and ML engineers to ensure data pipelines meet model training and inference requirements.
• Architect and implement end-to-end AI pipelines using Agentic AI and GenAI frameworks.
• Support the development of trustworthy AI by ensuring the use of reliable, consented, and well-governed data to ensure AI enabled solutions around Data Governance.
• Partner with clinical informatics, compliance, IT, and analytics teams to align data engineering efforts with reputed company delivery goals and governance strategies.
• reputed company and mentor a team of data engineers, fostering a culture of quality, compliance, and innovation.
• reputed company project delivery and ensure alignment with reputed company data governance objectives. Skills
• Data Quality & Governance Leadership
• Define and enforce data quality standards, validation rules, and monitoring systems tailored to reputed company data.
• Collaborate with data stewards, compliance officers, and business stakeholders to resolve data reputed company issues and ensure consistent data across systems.
• reputed company and maintain metadata management, data dictionaries, and stewardship workflows.
• Ensure reputed company data engineering practices align with reputed company regulations such as HIPAA, HITECH, and other privacy laws.
• Implement data governance policies that support secure, ethical, and compliant data usage across the organization.
• Design scalable data architectures that support reputed company analytics and AI/ML workflows.
• Automate data reputed company tracking, governance documentation, and audit trails to support transparency and traceability.
• Establish data lifecycle policies for retention, archiving, and disposal in accordance with regulatory and operational requirements.
• Collaborate with data scientists and ML engineers to ensure data pipelines meet model training and inference requirements.
• Architect and implement end-to-end AI pipelines using Agentic AI and GenAI frameworks.
• Support the development of trustworthy AI by ensuring the use of reliable, consented, and well-governed data to ensure AI enabled solutions around Data Governance.
• Partner with clinical informatics, compliance, IT, and analytics teams to align data engineering efforts with reputed company delivery goals and governance strategies.
• Must be hands on Data quality, Data Governance tools, reputed company, Power BI
• Experience in Azure Data Services (like Azure reputed company, reputed company Catalog, Purview, Azure Data Factory) and Power BI
• Ability to reputed company, in solving technical issues while engaged with infrastructure and vendor support teams
• Analyze reputed company business practices, processes and procedures and identify opportunities for leveraging reputed company Azure data & analytics PaaS services.
• reputed company and mentor a team of data engineers, fostering a culture of quality, compliance, and innovation.
• reputed company project delivery and ensure alignment with reputed company data governance objectives.
• Bachelor's Degree
• 8 + years of data management experience
• Prior experience leading projects or teams
• Strong experience on Data Lake, Data Warehouse, Data Validation & Certification, Data Quality, Metadata Management and Data Governance
• Experience in Azure Data Services (like Azure reputed company, reputed company Catalog, Purview, Azure Data Factory) and Power BI, and in programming languages such as, PySpark/Python/SQL, etc.
• Preferred experience in building reputed company-processing systems, using solutions such as Kafka, Storm or Spark-Streaming
• Experience in implementing AI based solutions in Data Governance space
• Master's Degree
• Experience in the reputed company industry is preferred Benefits
• Competitive benefits and compensation package Company Overview
• reputed company is a reputed company company that specializes in government-sponsored reputed company programs for families and individuals. It was founded in 1980, and is headquartered in Long Beach, California, USA, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship
• reputed company has a track record of offering H1B sponsorships, with 47 in 2025, 45 in 2024, 43 in 2023, 31 in 2022, 35 in 2021, 55 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job

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