Job Description

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead – our policyholders count on us to be there when it matters most. It’s a big ask, but it’s one that we have the power to deliver when we work together. We collaborate and innovate – pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it’s the right thing to do. Pacific Life is more than a job, it’s a career with purpose. It’s a career where you have the support, balance, and resources to make a positive impact on the future – including your own. Unlock the Power of Data at Pacific Life. We’re seeking a talented Lead Data Engineer to join our Pacific Life Customer Data Team in Newport Beach, CA; or Omaha, NE. Looking for self-starters to help shape the future of data engineering and drive data-driven success. This role is on-site. You’ll work at our state-of-the-art Newport Beach headquarters / modern Omaha office. As the Lead Data Engineer you’ll move Pacific Life, and your career, forward by accelerating our data initiatives by bringing modern technical solutioning forward. You will fill a new role that sits on the data team in the technology organization. Your colleagues will include scrum masters, data analysts and fellow Data, AI, Governance, and QA professionals. Join our highly collaborative, innovative team. How you’ll help move us forward: Partner with data architects, analysts, engineers, and stakeholders to understand data requirements and deliver solutions. Help build scalable products with robust security, quality and governance protocols. Lead data engineering activities that enable our Sales, Marketing, Distribution, CRM and Advanced Analytic use-cases. Design & Build scalable and reliable data pipelines to support data ingestions (batch and /or streaming) and transformation from multiple data sources using cloud based technologies. Create unit/integration tests and implement automated build and deployment. Lead code reviews to ensure standards and best practices. Deploy, monitor, and maintain production systems. Use the Agile Framework to organize, manage and execute work. Demonstrate adaptability, initiative and attention to detail through deliverables and ways of working. The experience you bring: Bachelor’s degree in Computer Science, Data Science or Statistics. 8+ years of experience in analysis, design, development, and delivery of data. 8+ years of experience and proficiency in SQL, ETL, ELT, leading cloud data warehouse technologies, data transformation, and data management tools. Understanding of data engineering best practices and data integration patterns. 4+ years of experience with DevOps, CI/CD, Git. Experience in agile methodologies & cloud technologies. Effective communication & facilitation; both verbal and written. Team-Oriented: Collaborating effectively with team and stakeholders. Analytical Skills: Strong problem-solving skills with ability to breakdown complex data solutions. What makes you stand out: Experience with Master Data Management (MDM) and Reference data. Experience with enterprise data domains such as Customer, Product, or Contract in the Financial Service Industry. Experience working with Azure Dev Ops (ADO), Snowflake, DBT. Experience with automation, scripting, and testing in data delivery environment. Understanding of data catalogs, glossary, data quality, and effective data governance. Financial Services/Investments/Insurance domain knowledge. Experience working in complex data systems. Experience with Customer Data Platforms or Customer 360.

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