Remote Data Engineer: Cloud Data Pipelines & ML

your Jared; Northern (KY); Hybrid; USD 90,000 - 167,000; Full time

Job summary

John Hancock Life Insurance Company (USA) is seeking a Data Engineer to design and maintain data pipelines, migrate data architectures to Azure and AWS, and build Spark-based processing with Databricks.

You will collaborate with data scientists, automate workflows with Airflow, develop dashboards in Power BI and Tableau, and ensure secure data governance across SQL, NoSQL, and REST APIs. Remote work from anywhere in the United States is supported.

Qualifications

• Master’s degree or foreign equivalent in Computer Science or related field.
• Minimum 3 years of experience with Python, SQL and ETL processes.
• 3 years of cloud experience (AWS and Azure).
• 3 years with Spark, Databricks and Synapse.
• 3 years with REST APIs, data governance and security practices.

Responsibilities

• Design, build and maintain data pipelines for ETL/ELT at scale.
• Migrate data architectures to Azure and AWS.
• Develop Spark pipelines with Databricks and Synapse.
• Automate data ingestion and transformation with Airflow.
• Create dashboards to communicate insights to stakeholders.
• Ensure secure and compliant governance for sensitive data.
• Collaborate with data scientists to deploy ML pipelines.
• Set up monitoring and maintain pipeline health.

Skills

Python

SQL

ETL

AWS

Azure

Spark

Databricks

Synapse

Power BI

Tableau

NoSQL

REST APIs

DevOps

Education

Master’s degree in Computer Science or related field

Tools

Airflow

Docker

Job description

John Hancock Life Insurance Company (USA) is seeking a Data Engineer to design and maintain data pipelines, migrate data architectures to Azure and AWS, and build Spark-based processing with Databricks.

You will collaborate with data scientists, automate workflows with Airflow, develop dashboards in Power BI and Tableau, and ensure secure data governance across SQL, NoSQL, and REST APIs. Remote work from anywhere in the United States is supported.