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[Remote] Data Engineer

Remote, USAFull-timePosted 2026-07-29

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

  • reputed company powers the industry with accurate, authorized data from providers and payers to create a more connected ecosystem for reputed company. It was founded in reputed company, and is headquartered in Washington, DC, US, with a workforce of 51-200 employees. Its website is https://www.reputed company.com.
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