JOB DESCRIPTION:

Pacific Life is investing in bright, agile and diverse talent to contribute to our mission of innovating our business and creating superior customer experience. We’re actively seeking a talented Senior Data Engineer to join our Workforce Benefits Technology team in Newport Beach, CA; Omaha NE.
This role is on-site. You’ll work at our state-of-the-art Newport Beach headquarters / modern Omaha office.
This position will be reporting to the Principal Data Engineer and will be responsible for the design and delivery of integrated data marts, data translations, and data models in the newly formed Workforce Benefits Division. These data solutions will capture, manage, store and utilize structured and semi-structured data from internal and external sources and provide integrated data for Finance, Actuarial, Pricing, Underwriting, Claims and other functions. The role will establish and build processes and structures based on business and technical requirements to channel data from multiple inputs, apply appropriate security, and create data products. This role will serve as a valued partner across Workforce Benefits functions to create a single source of trusted data with fast, scalable access to data assets, to satisfy the integration and analytical data needs of the division.

THE EXPERIENCE YOU BRING:

Bachelor’s degree in computer science, information systems, mathematics, analytics or related field.
5+ years of experience in analysis, design, development, and delivery of data
5+ years of experience and proficiency in SQL, ETL, ELT, leading cloud data warehouse technologies, data transformation, 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

Please refer the Job description for details