Data Engineer

As a Data Engineer, you will help accelerate Pacific Life's data initiatives by delivering modern, scalable data solutions. This role sits within the technology organization's data team and works closely with data engineers, analysts, architects, scrum masters, and Data, AI, Governance, and QA professionals in a highly collaborative environment., Partner with architects, analysts, engineers, and stakeholders to understand requirements and deliver secure, high-quality data solutions

Design and build scalable data pipelines for batch and streaming ingestion using cloud technologies

Develop low-level design artifacts, including data mappings

Implement data transformations, testing, CI/CD pipelines, and automated deployments

Participate in code reviews and ensure engineering standards and best practices

Deploy, monitor, and maintain production systems using Agile methodologies

Bachelor's degree in Computer Science, Data Science, Statistics, or related field

5+ years of experience in data analysis, design, development, and delivery

Strong proficiency in SQL, ETL/ELT, cloud data warehouses, and data management tools

Knowledge of data engineering best practices and integration patterns

2+ years of DevOps and CI/CD experience

1+ year of hands-on experience with Git and Python

Experience working in Agile teams with strong communication and problem-solving skills

Preferred Qualifications

Experience with Azure DevOps, CI/CD pipelines, and orchestration

AWS experience

Automation, scripting, and testing in data environments

Knowledge of data governance, data quality, catalogs, and glossaries

Financial services, insurance, or investment domain experience

Experience with complex data systems and Master/Reference Data Management