Sr Data Engineer, Data Operations

Pacific Life•Newport Beach, CA

41d

About The Position

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 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 Operations Engineer you'll move Pacific Life, and your career, forward by leading and acting as an individual contributor in our Data Ops support team. You will fill Data Operations Engineer role that sits on a team of 15 people in the PL Data division. Your colleagues will include other Data Ops Engineering professionals and you will be interfacing with internal/external, business and IT Stakeholders.

Requirements

Bachelor's degree in Computer Science, Mathematics, Data Science or Statistics
5+ years of experience in design, development, and data management
5+ years of experience and proficiency in SQL, ETL, data transformation, and data operations tools (Snowflake, Redshift, Informatica, Matillion, DBT, Python, Control-M)
2+ years of experience with DevOps and CI/CD
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

Nice To Haves

2+ years of experience in Snowflake and Data Build Tool (DBT), and cloud services
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 setup effective processes in your sphere of ownership
Strong communication with the ability to translate business requirements into technical specification

Responsibilities

Partnering with data architects, analysts, engineers, and business stakeholders to understand data requirements and deliver solutions in an urgent and effective manner.
Implementing automated workflows to streamline data collection, processing, and analysis.
Monitoring data pipelines to detect and resolve issues promptly.
Reducing manual intervention to minimize errors and increase efficiency.
Promoting a culture of continuous improvement and agile methodologies.
Demonstrate adaptability, initiative and inquisitiveness in issues resolution.
Ensuring compliance with data governance policies and regulations.
Skills in analyzing data to identify trends, patterns, and insights.
Design, build, and maintain scalable data pipelines for data extraction, transformation, and loading.
Proficiency in languages such as Python and PowerShell for data pipeline management
Strong knowledge of SQL for querying, optimizing and innovating databases and managing data.

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

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