Data Engineer: Cloud & ML Pipelines (Remote)

Manulife Financial; California (MO); Hybrid; USD 90,000 - 167,000; Full time

Benefits offered by this job

Health benefits

401(k) plan with company match

Remote work option

Job summary

John Hancock Life Insurance Company (USA) is seeking a Data Engineer to design and operate large-scale data pipelines across AWS and Azure. The role emphasizes Spark-based processing, Databricks, Synapse, and modern orchestration with Airflow.

Responsibilities include creating dashboards, ensuring data governance, and collaborating with data scientists to deploy ML pipelines. Fully remote work is available from anywhere in the United States.

Qualifications

• Master’s degree in Computer Science, Electrical Engineering, Information Systems or related field.
• 3 years of experience with Python, SQL and ETL processes.

Responsibilities

• Discover insights from large datasets using analytics and ML techniques.
• Design, build and maintain ETL/ELT data pipelines for large-scale datasets.
• Migrate legacy data architectures to AWS and Azure with cloud-native services.
• Develop Spark-based pipelines with Databricks and Synapse for data processing.
• Automate data ingestion and transformation with Airflow.
• Create dashboards with Power BI and Tableau to communicate insights.

Skills

Python

SQL

ETL processes

Cloud platforms

Machine learning

Education

Master’s degree

Tools

Databricks

Synapse

Apache Airflow

Docker

Power BI

Tableau

Splunk

CloudWatch

Job description

John Hancock Life Insurance Company (USA) is seeking a Data Engineer to design and operate large-scale data pipelines across AWS and Azure. The role emphasizes Spark-based processing, Databricks, Synapse, and modern orchestration with Airflow.

Responsibilities include creating dashboards, ensuring data governance, and collaborating with data scientists to deploy ML pipelines. Fully remote work is available from anywhere in the United States.