Remote Data Engineer: Scalable Cloud Pipelines & ML

Manulife; Boston (MA); On-site; USD 90,000 - 167,000; Full time

Job summary

Manulife/John Hancock is seeking a Data Engineer to design and maintain scalable data pipelines, leverage cloud platforms, and enable data-driven decisions. You will work with Spark-based pipelines, Databricks, Synapse, and Airflow to automate data ingestion and delivery.

The role emphasizes governance, secure pipelines, and cross-functional collaboration. The position supports fully remote work from anywhere in the United States and offers exposure to a broad data engineering stack, BI tools,

Qualifications

• Master’s degree or foreign equivalent in computer science or related field.
• 3 years of experience with Python, SQL, and ETL processes.

Responsibilities

• Discover insights from large datasets using advanced analytics and ML.
• Design, build and maintain data pipelines for ETL/ELT processes.
• Migrate legacy data architectures to Azure and AWS, using cloud-native services.

Skills

Python

SQL

ETL

Machine learning

REST APIs

Education

Master's degree in Computer Science or related field

Tools

AWS

Azure

Databricks

Spark

Synapse

Airflow

Power BI

Tableau

PostgreSQL

MongoDB

MSSQL

Docker

Job description

Manulife/John Hancock is seeking a Data Engineer to design and maintain scalable data pipelines, leverage cloud platforms, and enable data-driven decisions. You will work with Spark-based pipelines, Databricks, Synapse, and Airflow to automate data ingestion and delivery.

The role emphasizes governance, secure pipelines, and cross-functional collaboration. The position supports fully remote work from anywhere in the United States and offers exposure to a broad data engineering stack, BI tools,