Data Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Remote From the posting source checked Jun 20, 2026

In-office days

0 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Company stage

Seed From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Engineer Remote | Quezon City, NCR, Philippines Company Description: Dashlabs.ai (YC W21) is a healthcare operations platform that integrates Electronic Medical Records (EMR), Laboratory Information Systems (LIS), and Radiology Information Systems (RIS) into a unified ecosystem. Built for diagnostic laboratories, imaging centers, clinics, and hospitals, Dashlabs.ai serves as the operational backbone for diagnostic providers across the Philippines and is expanding its footprint into Indonesia and Malaysia. We build robust, scalable infrastructure to streamline healthcare workflows, optimize diagnostics, and improve patient outcomes. Job Description: Role Overview As a Data Engineer, you will design, build, and optimize the data infrastructure that powers our reporting, analytics, and business intelligence capabilities. You will manage data synchronization across disparate database paradigms, enable stakeholders through modern BI tools, and play a critical role in safeguarding our core production databases from intensive analytical workloads and unauthorized data extraction. This role requires a strong engineering background with a deep understanding of the MERN stack, particularly TypeScript, alongside robust database administration, data warehousing, and ETL/ELT pipeline expertise. Key Responsibilities 1. Data Pipeline Engineering & ELT Design, implement, and maintain scalable data pipelines to replicate and transform operational data from a production MongoDB environment into Google BigQuery for analytics and data warehousing. Ensure data consistency, integrity, and low-latency synchronization between NoSQL documents and BigQuery's columnar storage structures. Optimize BigQuery storage, partitioning, clustering, and query performance to minimize operational costs and speed up retrieval times. 2. Analytics & Business Intelligence Infrastructure Own the onboarding, access management, and data enablement pipeline

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