Senior Data Engineer

Pacific Life

Quick summary

Work type
On-site
Location
Newport Beach
Salary
$137,610–$168,190 / yr
Posted
1 day ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $172k
This role $153k
$118k most similar roles pay here $220k

This role pays less than 65% of similar roles. Most pay $135,000–$209,000 — the shaded band above. At the midpoint, this role pays about $153k versus about $172k for comparable roles.

Based on 240 similar postings.

Employer

About Pacific Life

Pacific Life is a life insurance company offering a wide range of life insurance, annuity, and investment products and services to individuals, businesses, and pension plans. Industry: Life Insurance & Annuities

Pacific Life currently has 27 open roles on FindRole.

Listed pay typically runs $137,610–$168,190 across 27 roles with salary data.

Most-posted roles

View all roles at Pacific Life

At a glance

TL;DR · Senior Data Engineer

As a Data Engineer at Pacific Life, you will join the technology organization’s data team to accelerate data initiatives by designing and implementing modern technical solutions. Collaborating closely with scrum masters, data analysts, and other professionals, your responsibilities include partnering with stakeholders to understand data requirements, building scalable data pipelines using cloud-based technologies like Azure DevOps and AWS, and ensuring robust security and governance protocols are in place. You will create detailed design artifacts, write unit/integration tests, participate in code reviews, and deploy, monitor, and maintain production systems within an Agile framework. The ideal candidate has 5+ years of experience in data analysis and delivery, proficiency in SQL, ETL/ELT, cloud data warehouses, and DevOps practices, along with strong Python scripting skills and a background in financial services or insurance.

What you'll do

  • Partner with data architects and stakeholders to define data requirements and deliver technical solutions.
  • Build scalable data pipelines using cloud technologies for batch and streaming data ingestion.
  • Create detailed design artifacts, including mapping specifications for data transformations.
  • Implement automated testing, build, and deployment processes for robust quality assurance.
  • Deploy, monitor, and maintain production systems in a secure and reliable manner.
  • Participate in code reviews to ensure adherence to standards and best practices.

What we're looking for

  • 5+ years of experience in data analysis, design, development, and delivery.
  • Proficient in SQL, ETL/ELT, cloud data warehouse technologies, and data management tools.
  • Understanding of data engineering best practices and integration patterns.
  • 2+ years of DevOps and CI/CD experience with Git and Python.
  • Experience working in agile methodologies and financial services domain.
  • Strong problem-solving skills for complex data solutions.
  • Effective communication and collaboration with teams and stakeholders.

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