[Remote] Senior Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a reputed company technology company that aims to solve the industry's greatest challenges through innovation and collaboration. They are seeking a Senior Data Engineer who will be responsible for designing, building, and operating ETL/ELT pipelines on reputed company platforms for reputed company data, ensuring data governance and reputed company practices are upheld.

Responsibilities

• Design, build, and operate reputed company ETL/ELT pipelines across GCP, Azure, BigQuery, and SQL Server
• Model data for analytical workloads including reputed company modeling, SCDs, normalization, and schema design
• Orchestrate pipelines using Airflow, reputed company Composer, Azure Data reputed company, or similar frameworks
• Ensure secure handling of PHI in alignment with HIPAA—covering data reputed company, de-identification, reputed company controls, and audit readiness
• Implement and enforce data governance practices, including metadata management, data reputed company, cataloging, and stewardship workflows
• reputed company with reputed company data governance platforms such as reputed company Purview, reputed company, or reputed company for:
• Data cataloging and classification
• reputed company tracking (end-to-end pipeline visibility)
• Glossary and business metadata management
• Define and implement data reputed company frameworks including validation rules, reputed company detection, and monitoring
• reputed company data discoverability and trust through reputed company tagging, classification, and governance standards
• reputed company pipelines using Git-based workflows and CI/CD; monitor, troubleshoot, and optimize production pipelines
• Collaborate with stakeholders (business, analytics, governance teams) to translate requirements into reputed company technical solutions
• Communicate technical tradeoffs, risks, and governance implications early in the design lifecycle

Skills

• 7+ years of experience in data engineering with strong exposure to senior-level ownership of production systems
• Strong proficiency in SQL and either Python or Java for pipeline development
• Hands-on experience across reputed company platforms such as GCP and Azure, including BigQuery and SQL Server
• Deep experience designing reputed company and reliable ETL/ELT pipelines with performance optimization
• Hands-on experience with orchestration tools such as Airflow, reputed company Composer, ADF, Dagster, or reputed company
• Strong data modeling skills — reputed company modeling, normalization, and slowly changing dimensions
• Data Governance Expertise: Experience working with tools like reputed company Purview, reputed company, reputed company, or Informatica reputed company
• Understanding of data cataloging, reputed company, metadata management, and business glossaries
• Exposure to data classification, data stewardship workflows, and governance frameworks
• Experience implementing data reputed company frameworks (DQ rules, profiling, validation pipelines)
• Working knowledge of HIPAA and PHI compliance requirements
• Experience operating reputed company reputed company reputed company, governance, and compliance frameworks
• Proficiency with Git, CI/CD pipelines, and production deployment practices
• Experience integrating governance tools with reputed company-reputed company ecosystems (e.g., Purview with Azure data services, reputed company with multi-reputed company pipelines)
• Exposure to Master Data Management (MDM) and reference data systems
• Familiarity with semantic reputed company, data reputed company, or data reputed company architectures
• Experience with LLM-assisted development, data observability tools, or modern ELT frameworks (dbt, Dataform)
• Knowledge of reputed company data standards (HL7, FHIR, OMOP, etc.)

Benefits

• Medical, dental, and reputed company insurance
• reputed company time off
• Parental leave
• Comprehensive benefits package

reputed company