Data Engineer

Alongside

Data Engineer designing and building data pipelines for real-time facility navigation and asset-tracking platform. Collaborating with engineers to ensure data quality and processing efficiency.

Posted 7/20/2026full-timeRemote • 🇻🇳 VietnamJuniorMid-Level💰 $12 - $16 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data pipelines for real-time processing, with strong skills in SQL and cloud platforms like Azure. Capable of collaborating effectively in cross-functional teams while ensuring data quality and accessibility.

Highest-signal resume keywords

Data Pipeline DevelopmentSQL ProficiencyReal-Time Data ProcessingAPI Integration ExperienceCloud Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringETL-ELT ProcessesRelational Database ManagementEvent StreamingData Quality Checks

Soft Skills

Strong Communication SkillsTeam Collaboration

Tools & Technologies

AzureKafkaAzure Service BusTelemetry DataGeospatial Data

Industry Keywords

Industrial DomainLogistics DomainIoT DomainPositioning DataReal-Time Event Detection

Tech Stack

Tools & technologies

AzureCloudETLIoTKafkaSQL

About the role

Key responsibilities & impact

Build and maintain data pipelines that ingest real-time positioning and telemetry data from tracking hardware.
Design data models and schemas that support real-time event detection (e.g., correlating two tracked objects' positions to infer a pickup or handoff event).
Implement data quality checks, monitoring, and alerting to catch pipeline failures or data drift early.
Optimize pipelines for near-real-time processing at the latency the product requires.
Work with structured and semi-structured data coming from external hardware and API integrations.
Collaborate with software engineers to ensure data is accessible, reliable, and supports platform features.
Support deployment, monitoring, and troubleshooting of data pipelines in production.

Requirements

What you’ll need

2–5 years of professional Data Engineering or Software Engineering experience.
Hands-on experience building and maintaining data pipelines (batch or streaming/ETL-ELT).
Solid SQL and relational database skills; comfort with event or time-series data is a plus.
Experience integrating with third-party APIs and webhooks.
Comfortable working with real-time or near-real-time data processing requirements.
Experience with a major cloud platform (Azure preferred).
Strong communication skills and comfort working in a small, cross-functional, fast-moving team.
Nice to Have: Experience with geospatial or positioning data (GPS, BLE, RTLS).
Experience with message queues or event streaming (e.g., Kafka, Azure Service Bus).
Background in industrial, logistics, or IoT domains.

Benefits

Comp & perks

Remote work (Vietnam-based)
Estimated project duration: 19 weeks
Full-time schedule: 8 hours per day, with mandatory availability for at least 4 hours
Freelance / Service Agreement
Hourly Rate: 12$-16$