Data Engineer Sr (PHL)

Carelon Global Solutions Philippines, Inc.; Hinoba-an; Hybrid; PHP 900,000 - 1,300,000; Full time

Job summary

Carelon Global Solutions Philippines, Inc. is seeking a Senior Data Engineer to design, develop, and maintain scalable data solutions across the organization.

You will lead data platforms, pipelines, and integrations, partnering with stakeholders to translate business requirements into robust architectures and actionable datasets. The role emphasizes data quality, governance, and enterprise reporting, with a focus on cloud-based environments, data warehousing, ETL/ELT development, and modeling

Qualifications

• Experience designing scalable data pipelines for analytics.
• Strong knowledge of data warehousing concepts and modeling.
• Proficient in ETL/ELT design and data quality controls.

Responsibilities

• Design, develop, and maintain scalable data pipelines for analytics and reporting.
• Build and optimize ETL/ELT workflows across source systems.
• Develop enterprise data warehouses and data marts.
• Collaborate with stakeholders to translate requirements into data solutions.
• Establish data quality, metadata, and governance practices.

Skills

Cloud data platforms

ETL/ELT development

Data warehousing

Data modeling

SQL

Python

Job description

## Data Engineer Sr (PHL)Apply: PHL-Taguig City-Alliance Global Tower, 11th Ave, Corner 36th St, Uptown Bonifacio: PHL-Pasig City-Glas Building, Opal Road,: Full time: Posted 2 Days Ago: End Date: October 31, 2026 (30+ days left to apply): JR204868**Position Title:**Data Engineer Sr (PHL)**Shift:**9:00 PM to 6:00AM (Philippines)**Job Description:**# Job SummaryThe Senior Data Engineer is responsible for designing, developing, implementing, and maintaining scalable data solutions that enable data-driven decision-making across the organization. This role serves as a technical leader in the design and optimization of enterprise data platforms, data pipelines, and data integration frameworks. The Senior Data Engineer collaborates closely with business stakeholders, product owners, analysts, and technology teams to translate business requirements into robust data architectures, high-quality datasets, and reporting solutions.The individual will lead the development of data engineering best practices, ensure data quality and governance standards are met, and support enterprise reporting, analytics, automation, and operational initiatives. This role requires deep expertise in cloud-based data platforms, data warehousing, ETL/ELT development, data modeling, and enterprise application integrations. The position will also play a key role in enabling data accessibility, reliability, and scalability across multiple business functions. # Primary Duties May Include, But Are Not Limited To:· Design, develop, and maintain scalable data pipelines and integration solutions supporting enterprise reporting, analytics, and operational processes.· Build and optimize ETL/ELT workflows to ingest, transform, validate, and load data from multiple internal and external source systems.· Develop and maintain enterprise data warehouse structures, data marts, and analytical datasets.· Design and implement logical and physical data models that support business intelligence, reporting, and advanced analytics requirements.· Integrate data from APIs, enterprise applications, flat files, connectors, and scheduled data feeds.· Collaborate with business stakeholders, product teams, and analysts to understand business needs and translate requirements into technical solutions.· Establish and maintain data quality controls, validation processes, and monitoring mechanisms to ensure data accuracy and integrity.· Create and maintain metadata, data dictionaries, lineage documentation, and technical specifications.· Optimize database performance, query efficiency, and data processing capabilities within cloud and on-premises environments.· Support the implementation and administration of enterprise work management and workflow platforms, including integration with data repositories and reporting solutions.· Develop reusable frameworks, standards, and best practices for data engineering and data management.· Partner with data analysts, business intelligence developers, and solution architects to enable scalable reporting and self-service analytics capabilities.· Troubleshoot data integration issues, perform root cause analysis, and implement sustainable solutions.· Support data governance, compliance, security, and privacy requirements through appropriate controls and technical design.· Mentor junior data engineers and provide technical leadership on complex data initiatives and enterprise projects.