Senior Data Engineer

Permhunt; Manila; On-site; PHP 1,800,000 - 3,200,000; Full time

Benefits offered by this job

100% remote

HMO

Job summary

A leading healthcare technology firm is seeking a Senior / Lead Data Engineer to establish its internal data engineering function. The role demands 5+ years of data engineering experience, with a solid grasp of data warehousing and API-based data ingestion. Responsibilities include designing scalable frameworks and developing ETL/ELT pipelines. This role is 100% remote and offers healthcare benefits. The ideal candidate will possess a proactive mindset and a commitment to delivering major projects successfully.

Qualifications

• 5+ years of hands-on experience in data engineering, including successful delivery of complex data integration initiatives.
• Solid background in modern data warehouse architectures.
• Proficiency with contemporary data pipeline tools and orchestration frameworks.

Responsibilities

• Design and implement a scalable data ingestion framework.
• Build reusable connectors and integration patterns.
• Develop robust ETL/ELT pipelines focusing on reliability.
• Develop robust ETL/ELT pipelines with a strong focus on reliability, maintainability, and high data quality.
• Set up and manage monitoring, logging, and error-handling mechanisms across data workflows.
• Own projects end-to-end from technical design and implementation through documentation and final delivery.
• Partner with engineering leadership to shape milestones, delivery timelines, and cross-team dependencies.

Skills

Data engineering

Data integration

API-based data ingestion

Data pipeline tools

Healthcare data experience

Healthcare data experience

Ownership mindset

Tools

Snowflake

Redshift

BigQuery

Job description

Our client is a leader in the US healthcare space and is looking for a Senior / Lead Data Engineer to build their internal data engineering operation from the ground up.

Responsibilities

• Design and implement a scalable data ingestion framework that can pull data from multiple client electronic health record (EHR) and related systems.
• Build reusable connectors and integration patterns to support a variety of clinical and healthcare platforms.
• Architect and maintain a unified, flexible data warehouse schema that can accommodate diverse and evolving data sources.
• Develop robust ETL/ELT pipelines with a strong focus on reliability, maintainability, and high data quality.
• Set up and manage monitoring, logging, and error-handling mechanisms across data workflows.
• Own projects end-to-end from technical design and implementation through documentation and final delivery.
• Partner with engineering leadership to shape milestones, delivery timelines, and cross-team dependencies.

Required Qualifications

• 5+ years of hands‑on experience in data engineering, including successful delivery of complex data integration initiatives.
• Solid background in modern data warehouse architectures (e.g., Snowflake, Redshift, BigQuery or similar).
• Deep experience with API‑based data ingestion and the development of custom data connectors.
• Proficiency with contemporary data pipeline tools and orchestration frameworks.
• Previous experience working with healthcare data or health‑tech platforms.
• Demonstrated ownership mindset, strong self‑direction, and ability to independently drive major projects to completion.

Preferred Qualifications

• Experience building multi‑tenant and/or multi‑source ingestion frameworks.
• Background in designing generalized or unified data models/schemas.
• Exposure to cloud infrastructure and CI/CD practices specifically for data platforms and pipelines.

Benefits

• 100% remote
• HMO