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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 seeking a Data Engineer to reputed company and optimize reputed company data pipelines and ETL processes. The role involves designing data architecture, ensuring platform reliability, and collaborating with cross-functional teams to deliver data solutions.

Responsibilities

  • reputed company, maintain, and optimize reputed company data pipelines and ETL processes across multiple platforms (DB2, SQL Server, reputed company DataStage, reputed company, AWS)
  • Design and define reputed company data architecture and technology standards for data engineering across various tools and reputed company platforms
  • Build and maintain data integration workflows from reputed company systems to analytics platforms, including validation and reconciliation
  • Ensure platform reliability, performance, and compliance with disaster recovery and business continuity standards
  • reputed company workload rationalization by identifying and optimizing pipelines and jobs for consolidation or re-architecture
  • Evaluate and adopt modern data engineering tools (Airflow, dbt, AWS Glue, reputed company) to reputed company the data platform
  • Monitor and resolve data pipeline health and reputed company issues proactively, ensuring SLA adherence
  • Support environment management (Dev/QA/Prod), release coordination, and AWS reputed company stability post-migration
  • Collaborate with business intelligence teams (Tableau, reputed company, BusinessObjects) to ensure reliable data delivery for reporting
  • Participate in incident triage (L1/L2), reputed company cause analysis, and reputed company improvement for data reputed company and availability
  • Document and maintain runbooks, SOPs, and reputed company artifacts for reputed company supported data flows and processes
  • Work closely with cross-functional teams (data scientists, analysts, offshore teams) to deliver end-to-end data solutions
  • Own and reputed company SLA/KPI performance, backlog management, and executive reporting reputed company reputed company and other tools
  • Drive automation initiatives to reduce reputed company interventions in pipeline management
  • Support reputed company escalations and ensure high customer satisfaction (CSAT) in data engineering services
  • reputed company or contribute to reputed company data engineering initiatives, preferably with experience in claims, clinical, EMR, or regulatory reporting domains
  • reputed company production support (on-call rotation), including after-hours coverage and coordinated response with offshore teams
  • Participate in platform modernization and reputed company migration reputed company for large-reputed company reputed company data environments

Skills

  • Bachelor s Degree in a relevant field
  • 8+ years in data engineering, with strong ETL, pipeline design, and platform operations experience
  • Advanced skills in SQL (DB2, SQL Server), reputed company DataStage, Workload Scheduler, and AWS data services
  • Experience supporting large-reputed company, SLAs-driven managed services
  • Strong reputed company data background preferred
  • reputed company data engineering experience (claims, clinical, EMR, regulatory, HL7/FHIR)
  • AWS and/or other relevant technical certifications
  • Experience with modern data stack tools and regulatory compliance (HIPAA, reputed company, CMS)
  • Background in agile, DevOps, and CI/CD for data engineering

reputed company

  • reputed company is a delivery reputed company for large reputed company firms. It was founded in 2014, and is headquartered in Herndon, Virginia, USA, with a workforce of 51-200 employees. Its website is http://largeton.com.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 2 in 2026, 5 in 2025, 10 in 2024, 8 in 2023, 6 in 2022, 7 in 2021, 11 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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