Data Engineer

Manulife

Data Engineer building cloud data pipelines and analytics for Manulife’s financial services business. Developing Azure/AWS, Spark, Airflow, database, and machine learning infrastructure.

Posted 8/10/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $137,946 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in data analytics, machine learning, and cloud computing, with a strong focus on building and maintaining ETL/ELT pipelines and ensuring data governance and compliance. Proficient in leveraging tools like Spark, Databricks, and Airflow to deliver tailored data solutions and optimize workflows.

Highest-signal resume keywords

Python ProgrammingETL ProcessesCloud Platforms (AWS, Azure)Data Visualization (Power BI, Tableau)Machine Learning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsMachine Learning TechniquesETL/ELT Data PipelinesSpark-Based PipelinesData GovernanceREST APIsDatabase Management (MSSQL, PostgreSQL, MongoDB)Data TransformationPredictive ModelingMonitoring Tools (Splunk, CloudWatch)

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

DatabricksApache AirflowPower BITableauDockerCloud Services (AWS, Azure)

Certifications & Qualifications

Master’s Degree in Computer Science or Related Field

Industry Keywords

Data GovernanceComplianceData IntegrationDistributed ComputingData Pipelines

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudDockerETLMongoDBNoSQLPostgresPythonSparkSplunkSQLTableau

About the role

Key responsibilities & impact

Discover hidden information in massive datasets using advanced data analytics and machine learning techniques
Design, build, and maintain ETL/ELT data pipelines for large-scale datasets
Migrate legacy data architectures to Azure and AWS using cloud-native services
Develop and optimize Spark-based pipelines using Databricks and Synapse
Automate data ingestion, transformation, and delivery workflows with Airflow
Create interactive dashboards for business stakeholders
Design and manage MSSQL, PostgreSQL, and MongoDB databases
Implement secure and compliant pipelines and data governance policies
Integrate data sources using REST APIs
Collaborate with data scientists on machine learning model training and deployment pipelines
Gather requirements and deliver tailored data solutions with cross-functional teams
Set up monitoring and alerting for data pipeline health and reliability
Build and deploy applications with Docker
Identify workflow inefficiencies and implement cost-reducing process improvements

Requirements

What you’ll need

Master’s degree or foreign equivalent in Computer Science, Electrical Engineering, Electronic Engineering, Information Systems, or a related field
3 years of experience with Python, SQL, and ETL processes
3 years of experience with cloud platforms including AWS and Azure
3 years of experience using distributed computing frameworks including Spark, Databricks, and Synapse
2 years of experience with orchestration tools including Apache Airflow
3 years of experience with data visualization tools including Power BI and Tableau
3 years of experience with database systems including SQL and NoSQL
3 years of experience using data governance, compliance, and security practices
3 years of experience with REST APIs and integration frameworks
3 years of machine learning and predictive modeling experience
3 years of experience with monitoring tools including Splunk and CloudWatch
2 years of experience using DevOps practices and containerization

Benefits

Comp & perks

Incentive programs and incentive compensation tied to business and individual performance
Health insurance
Dental insurance
Mental health benefits
Vision insurance
Short- and long-term disability insurance coverage
Life and AD&D insurance coverage
Adoption/surrogacy benefits
Wellness benefits
Employee/family assistance plans
Retirement savings plans, including pension/401(k) savings plans
Global share ownership plan with employer matching contributions
Financial education and counseling resources
Up to 11 paid holidays per year
3 personal days per year
150 hours of vacation per year
40 hours of sick time per year, or more where required by law
Statutory leaves of absence
Flexible environment
Opportunities to learn and grow your career