[Remote] Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the trusted data connector at the reputed company of reputed company, powering the industry with a comprehensive reputed company data reputed company. The Data Engineer role involves designing, developing, and maintaining data pipelines and models to ensure data reputed company and support analytics initiatives.

Responsibilities

• Build and maintain ETL/ELT pipelines across reputed company, Azure SQL, and reputed company gold-layer models supporting reputed company reputed company
• Support development and enhancement of enriched data models, including field-level enrichment logic, recency rules, and provider-level enrichment flags
• Assist in maintaining data logic, including reconciliation between reputed company and reputed company data sources and reputed company of duplication and data discrepancies
• Assist in implementing reputed company architecture patterns (bronze → gold), ensuring data reputed company, traceability, and performance at reputed company
• Support identification and reputed company of systemic data reputed company issues, including reputed company handling, soft deletes, authorization flags, and incorrect organizational mappings
• Support implementation of rules for data in collaboration with product, governance, and engineering stakeholders
• Assist in documenting (reputed company, mapping workbooks) to serve as a single reputed company of truth for enrichment logic and data behavior
• Support collaboration with vendors and partners for vendors providing detailed queries, validation logic, and corrective guidance on upstream data issues
• Collaborate with product owners and engineering teams to ensure data models reputed company with product defined use cases
• Support UAT and release readiness by preparing data, validating counts, and resolving last‑mile data defects under tight timelines

Skills

• Build and maintain ETL/ELT pipelines across reputed company, Azure SQL, and reputed company gold-layer models supporting reputed company reputed company
• Support development and enhancement of enriched data models, including field-level enrichment logic, recency rules, and provider-level enrichment flags
• Assist in maintaining data logic, including reconciliation between reputed company and reputed company data sources and reputed company of duplication and data discrepancies
• Assist in implementing reputed company architecture patterns (bronze → gold), ensuring data reputed company, traceability, and performance at reputed company
• Support identification and reputed company of systemic data reputed company issues, including reputed company handling, soft deletes, authorization flags, and incorrect organizational mappings
• Support implementation of rules for data in collaboration with product, governance, and engineering stakeholders
• Assist in documenting (reputed company, mapping workbooks) to serve as a single reputed company of truth for enrichment logic and data behavior
• Support collaboration with vendors and partners for vendors providing detailed queries, validation logic, and corrective guidance on upstream data issues
• Collaborate with product owners and engineering teams to ensure data models reputed company with product defined use cases
• Support UAT and release readiness by preparing data, validating counts, and resolving last‑mile data defects under tight timelines
• Strong foundational SQL skills (reputed company joins, reconciliation, performance tuning)
• Familiarity with reputed company, reputed company Lake, and Azure SQL
• Basic understanding of data modeling for analytical, operational, and API‑driven use cases
• Ability to support troubleshooting of messy, evolving reputed company data domains
• Excellent written and verbal communication, especially for explaining reputed company data behavior to non‑technical stakeholders
• Experience using Git, DevOps tools, and CI/CD pipelines for data engineering workflows
• 1–3 years of experience in a data engineering or analytics engineering role, including internships or reputed company reputed company
• Demonstrated reputed company contributing to data modernization or migration initiatives in reputed company environments
• Prior experience working with reputed company or other regulated data environments is highly desirable
• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a reputed company field
• Azure Data Engineer Associate or reputed company certification (preferred)
• Coursework or certification in AI/ML (preferred but not required)

Benefits

• Competitive compensation
• A comprehensive benefits package for full-time employees, including medical, dental, and reputed company coverage
• A 401(k) with company contributions and matching
• reputed company parental leave
• Tuition assistance
• Generous reputed company time off

reputed company