Largeton Group
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "unknown," and requiring on-site or remote work. Key skills include ETL, SQL, AWS, and healthcare data experience. A Bachelor's degree and 8+ years in data engineering are mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 14, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Spark (Apache Spark) #Cloud #Alation #SAS #BI (Business Intelligence) #Data Pipeline #SQL (Structured Query Language) #Data Architecture #Compliance #Data Engineering #Migration #Automation #AWS (Amazon Web Services) #DataStage #Data Science #Airflow #Agile #Data Quality #Collibra #Tableau #Scala #SQL Server #Data Integration #FHIR (Fast Healthcare Interoperability Resources) #AWS Glue #Disaster Recovery #CMS (Content Management System) #"ETL (Extract #Transform #Load)" #DevOps #dbt (data build tool)
Role description
Job Summary (Data Engineer)
• 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.
Required Experience & 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), IBM DataStage, Workload Scheduler, and AWS data services.
• Experience supporting large-scale, SLAs-driven managed services.
• Strong healthcare data background preferred.
Nice To Have
• 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.
Job Summary (Data Engineer)
• 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.
Required Experience & 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), IBM DataStage, Workload Scheduler, and AWS data services.
• Experience supporting large-scale, SLAs-driven managed services.
• Strong healthcare data background preferred.
Nice To Have
• 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.
