Data Engineer - Contract

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

PVH (Tommy Hilfiger/Calvin Klein) is seeking a Backend Software Developer to support data pipelines and algorithmic services in a clinical product. You will implement robust unit tests, data archiving, and ensure reliable analytics delivery in collaboration with engineering, QA, and business teams.

You will design tests for data ingestion, feature engineering, and algorithmic pipelines, validate ML models, and help archive inputs/outputs for reproducibility and auditability.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Analytics, or related field.
• Minimum 2+ years of experience in backend development, data engineering, or analytics platforms.
• Proficiency in Python with hands-on experience writing unit tests.
• Solid understanding of algorithm validation and data quality controls.
• Experience in healthcare or regulated environments is a plus.

Responsibilities

• Design and implement wide-coverage unit tests across data ingestion, feature engineering, and algorithmic pipelines.
• Develop unit tests for inputs and outputs of algorithmic services, including validation of black-box machine learning models.
• Establish and maintain test execution workflows integrated into the product release lifecycle.
• Implement mechanisms to archive and snapshot algorithm inputs and outputs to ensure historical reproducibility and auditability.
• Work closely with frontend, QA, and DevOps teams to communicate data validation and reproducibility requirements.
• Support business and analytics teams by resolving data quality, validation, and reporting issues.
• Contribute to service analytics related to data completion, user engagement, and algorithm actions.

Skills

Python

Unit testing

Data quality

Healthcare data

Education

Bachelor's degree in Computer Science or related field

Tools

Django

FastAPI

Wagtail

DRF

PostgreSQL

DocumentDB

Valkey

AWS

Docker

OpenSearch

unittest (Python)

Job description

Role Overview

We are seeking a Backend Software Developer to support the development, validation, and governance of data pipelines and algorithmic services used in a clinical product. The role focuses on implementing robust unit testing, data archiving mechanisms, and ensuring reliable analytics delivery in collaboration with engineering, QA, and business teams.

Key Responsibilities

• Design and implement wide-coverage unit tests across data ingestion, feature engineering, and algorithmic pipelines.


• Develop unit tests for inputs and outputs of algorithmic services, including validation of black-box machine learning models.


• Establish and maintain test execution workflows integrated into the product release lifecycle.


• Implement mechanisms to archive and snapshot algorithm inputs and outputs to ensure historical reproducibility and auditability.


• Work closely with frontend, QA, and DevOps teams to communicate data validation and reproducibility requirements.


• Support business and analytics teams by resolving data quality, validation, and reporting issues.


• Contribute to service analytics related to data completion, user engagement, and algorithm actions.

Required Skills & Experience

• Bachelor's degree in Computer Science, Engineering, Analytics, or related field.


• Minimum 2+ years of experience in backend development, data engineering, or analytics platforms.


• Proficiency in Python with hands-on experience writing unit tests.


• Solid understanding of algorithm validation and data quality controls.


• Experience in healthcare or regulated environments is a plus.

Technical Skills

• Backend: Python, Django, FastAPI, Wagtail, Django REST Framework (DRF)


• Databases: PostgreSQL, DocumentDB, Valkey


• Cloud & Infra: AWS, Docker, OpenSearch


• Testing: Python unittest