Sr Data Platform Engineer

Pacific Life; Fort Wayne, Omaha (IN, NE); On-site; USD 90,000 - 130,000; Full time

Job summary

Pacific Life is seeking an Infrastructure Engineer to advance data initiatives and implement modern solutions. This hybrid role involves collaborating with various teams to build scalable data infrastructure, ensuring robust security and governance. Ideal candidates will possess strong analytical skills and a background in cloud technologies.

Qualifications

• 5+ years of experience in data infrastructure design and development.
• 2+ years of experience with DevOps and CI/CD processes.
• Experience with cloud services and automation tools.

Responsibilities

• Partner with teams to understand data infrastructure requirements.
• Build scalable data infrastructure and implement automation.
• Ensure compliance with security and risk management protocols.

Skills

Data infrastructure design

Cloud technologies

DevOps

Automation

Agile methodologies

Problem-solving

Education

Bachelor's degree in Computer Science

Bachelor's degree in Data Science

Bachelor's degree in Statistics

Tools

AWS

Azure DevOps

Snowflake

ETL/ELT pipelines

Job description

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 we can deliver when we work together. We collaborate and innovate, transforming Pacific Life and the industry for the better. Pacific Life is more than a job; it's a career with purpose, 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 talented Infrastructure Engineers to join our team in Newport Beach, CA, and Omaha, NE. We look for self-starters to help shape the future of infrastructure engineering and drive data-driven success.

• This role is hybrid, empowering employees to work both in and out of the office.

As an Infrastructure Engineer, you'll advance Pacific Life's data initiatives by implementing modern technical solutions. You'll join the data team within the technology organization, collaborating with infrastructure engineers, data engineers, and other Data, AI, Governance, and QA professionals in a highly collaborative environment.

How you'll help move us forward:

• Partner with data architects, analysts, engineers, and stakeholders to understand data infrastructure requirements and deliver solutions.

• Help build scalable data infrastructure with robust security, quality, and governance protocols.

• Create low-level design artifacts, including infrastructure design and process documents.

• Build scalable and reliable data infrastructure to support data and analytics platforms, and data pipelines using cloud-based technologies.

• Implement automation and continuous improvements to build and deploy processes.

• Apply standards and best practices, ensuring compliance with security and risk management.

• Provision, deploy, secure, monitor, and maintain data platform environments.

• Use Agile frameworks to organize, manage, and execute work.

• Demonstrate adaptability, initiative, and attention to detail through deliverables and work methods.

The experience you bring:

• Bachelor's degree in Computer Science, Data Science, or Statistics.

• 5+ years of experience in designing, developing, and delivering data infrastructure, including cloud and database technologies.

• Understanding of infrastructure engineering best practices and data integration patterns.

• 2+ years of experience with DevOps and CI/CD processes.

• 1+ years of experience in automation, scripting, orchestration, upgrades, support, and maintenance of infrastructure tools and technologies.

• Experience with agile methodologies, effective communication, and team collaboration.

• Strong analytical and problem-solving skills.

What makes you stand out:

• 2+ years of experience with Snowflake and cloud services.

• Experience with AWS, databases, ETL/ELT pipelines, data visualization, and analytics tools.

• Experience with Azure DevOps, CI/CD pipelines, and orchestration.

• Master Data Management/Reference Data experience.

• Automation, scripting, testing in data delivery environments.

• Financial services, investments, or insurance domain knowledge.