Data Engineer

Largeton Group is seeking a Data Engineer to develop and optimize enterprise 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:

• Develop, maintain, and optimize enterprise data pipelines and ETL processes across multiple platforms (DB2, SQL Server, IBM DataStage, Collibra, AWS)
• Design and define enterprise data architecture and technology standards for data engineering across various tools and cloud platforms
• Build and maintain data integration workflows from source systems to analytics platforms, including validation and reconciliation
• Ensure platform reliability, performance, and compliance with disaster recovery and business continuity standards
• Lead 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, Spark) to modernize the data platform
• Monitor and resolve data pipeline health and quality issues proactively, ensuring SLA adherence
• Support environment management (Dev/QA/Prod), release coordination, and AWS cloud stability post-migration
• Collaborate with business intelligence teams (Tableau, SAS, BusinessObjects) to ensure reliable data delivery for reporting
• Participate in incident triage (L1/L2), root cause analysis, and continuous improvement for data quality and availability
• Document and maintain runbooks, SOPs, and knowledge management artifacts for all 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 track SLA/KPI performance, backlog management, and executive reporting via ServiceNow and other tools
• Drive automation initiatives to reduce manual interventions in pipeline management
• Support client escalations and ensure high customer satisfaction (CSAT) in data engineering services
• Lead or contribute to healthcare data engineering initiatives, preferably with experience in claims, clinical, EMR, or regulatory reporting domains
• Provide production support (on-call rotation), including after-hours coverage and coordinated response with offshore teams
• Participate in platform modernization and cloud migration projects for large-scale healthcare data environments

Requirements:

• 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), IBM DataStage, Workload Scheduler, and AWS data services
• Experience supporting large-scale, SLAs-driven managed services
• Strong healthcare data background preferred
• Healthcare 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, HITRUST, CMS)
• Background in agile, DevOps, and CI/CD for data engineering