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. We’re actively seeking a talented Software Engineer to join our Investment Management Technology team in Newport Beach. This role is on-site. You’ll work at our state-of-the-art Newport Beach headquarters. Pacific Life is on a mission to innovate and drive our business forward through impactful corporate software projects. We are seeking a talented and passionate Software Engineer to join our Investments Technology team. If you thrive in an Agile/Scrum environment and are eager to make a significant impact, we want to hear from you. Your Role: As a Software Engineer, you will: Design, build, and enhance applications that support our investment management capabilities within an Agile/Scrum framework. Handle data integration services, data quality, and data mapping development. Understand data sources, create data mapping models, and prioritize responses to data quality inquiries and issues. Collaborate with the Investment Management product team to ensure the delivery of data integration, data quality, and data delivery supporting business application data loads. How You Will Make an Impact: Map and document system-to-system data integrations. Resolve business user requests and production issues. Develop and support data integration. Work with API/CSV/JSON/XML file sources. Utilize your experience with investment, insurance, or financial data. Demonstrate a growth mindset and learn emerging data technologies. Apply strong data analysis and data mining skills. Write technical documentation.