Data Engineer

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $90.2k - $167.4k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Manulife

WebsiteLinkedInAll Job Openings

10,000+ employees

🛡️ Insurance

💸 Finance

Insurance • Finance

Manulife is a multinational Canadian financial services company focused on insurance and wealth management. It describes itself as making decisions easier and lives better through life and health protection, retirement and investment solutions, and a global footprint including brands such as John Hancock in the U. S. ; the company emphasizes digital innovation, AI, sustainability and inclusive growth while offering career and customer services worldwide.

📋 Description

• Discover hidden information in massive datasets using advanced data analytics and machine learning techniques to enable data-driven strategic decision-making • 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 using Airflow • Create interactive dashboards to communicate insights to business stakeholders • Design and manage MSSQL, PostgreSQL, and MongoDB databases • Implement secure and compliant data pipelines and governance policies for sensitive data • Integrate data sources using REST APIs • Collaborate with data scientists on pipelines for training and deploying machine learning models • Gather requirements and deliver tailored data solutions with cross-functional teams • Set up monitoring and alerting systems for data pipeline health and reliability • Build and deploy applications with Docker across development and production environments • Identify workflow inefficiencies and implement cost-reducing process improvements

🎯 Requirements

• 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

• 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 • 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