Data Engineer- Finance Data

Pacific Life

102d • $100,530 - $122,870

About The Position

We’re actively seeking a talented Data Engineer to join our Pacific Life Team in Newport Beach, CA. We are looking for self-starters to help shape the future of data engineering and drive data-driven success. As a Data Engineer you’ll move Pacific Life, and your career forward by leading the design and delivery of data engineering products that enable our Finance business teams to be more data-driven. These data solutions will capture, manage, store and utilize structured and semi-structured data from internal and external sources including Finance, Sales, Underwriting, Policy Admin, Claim and other core business areas.

Requirements

• Bachelor’s degree in computer science, information systems, mathematics, analytics or related field.
• 4+ years of experience in analysis, design, development, and delivery of data.
• 4+ years of experience and proficiency in SQL, ETL, ELT, leading cloud data warehouse technologies, and data management tools.
• Understanding data engineering best practices and data integration patterns.
• 2+ years of experience with DevOps and CI/CD.
• 1+ years of experience (not just POC) in using Git and Python.
• Experience in agile methodologies.
• Effective communication & facilitation; both verbal and written.
• Team-Oriented: Collaborating effectively with team and stakeholders.
• Analytical Skills: Strong problem-solving skills with ability to break down complex data solutions.

Nice To Haves

• 1+ years of experience in Snowflake, Data Build Tool (DBT), Matillion.
• Experience with automation, optimization and innovation in data management and batch cycle environments.
• Understanding of data catalogs, glossary, data quality, and effective data governance.
• Financial services domain knowledge.
• Data driven individual with ability to set up effective processes in your sphere of ownership.
• Strong communication with the ability to translate business requirements into technical specifications.
• Experience delivering Finance domain data engineering solutions.
• Experience with Control M orchestration tool.

Responsibilities

• Partnering with data architects, analysts, engineers, and business stakeholders to understand data requirements and deliver solutions in an effective manner.
• Build scalable & reliable solutions with robust security, quality, performance and governance protocols.
• Deliver solutions aligned with modern target state architecture and cloud-based technologies.
• Create and maintain design artifacts that support data engineering solutions.
• Lead creation and maintenance of automated and scalable test, build and deploy workflows aligned with modern CI/CD practices.
• Promoting a culture of continuous improvement and agile methodologies.
• Ensure data engineering standards and best practices are followed.
• Demonstrate adaptability, initiative and attention to detail through deliverables and ways of working.

Benefits

• Prioritization of your health and well-being including Medical, Dental, Vision, and a Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents.
• Generous paid time off options including Paid Time Off, Holiday Schedules, and Financial Planning Time Off.
• Paid Parental Leave as well as an Adoption Assistance Program.
• Competitive 401k savings plan with company match and an additional contribution regardless of participation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees