Data Engineer II

Pacific Life

Quick summary

Work type
On-site
Location
Charlotte, NC
Salary
$93,690–$114,510 / yr
Posted
15 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $169k
This role $104k
$80k most similar roles pay here $225k

This role pays less than 92% of similar roles. Most pay $126,800–$211,200 — the shaded band above. At the midpoint, this role pays about $104k versus about $169k for comparable roles.

Based on 239 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 29 open roles on FindRole.

Listed pay typically runs $137,610–$168,190 across 29 roles with salary data.

Most-posted roles

View all roles at Pacific Life

At a glance

TL;DR · Data Engineer II

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Pacific Life is hiring a Data Engineer II to join its Customer Data team in Charlotte, North Carolina, where the role involves designing and developing ETL/ELT data pipelines within Snowflake on AWS. The successful candidate will work closely with senior engineers and business partners to implement data transformations using dbt and Matillion, while adhering to established development standards and participating in Agile delivery processes via Azure DevOps and CI/CD practices. Ideal candidates have 2+ years of experience in data engineering or a related field, proficiency in SQL and Python or Java, and hands-on experience with AWS, Snowflake, and modern cloud environments. Additional skills include familiarity with AI-assisted development tools to enhance productivity and code quality within the context of Pacific Life’s robust data governance framework.

Skills

AWS Snowflake dbt Matillion Azure DevOps CI/CD SQL Python Java Prometheus Grafana Spark MSSQL PostgreSQL

What you'll do

  • Design and implement ETL/ELT data pipelines for customer data in Snowflake on AWS.
  • Develop and maintain data transformations using dbt and Matillion, adhering to development standards.
  • Participate in Agile delivery processes, including sprint planning and CI/CD practices with Azure DevOps.
  • Collaborate with senior engineers and business partners to deliver reliable customer data assets.
  • Utilize AI-assisted tools to enhance productivity and code quality while complying with governance standards.

What we're looking for

  • 2+ years of data engineering experience with a Bachelor’s degree in IT, CS, Data Science, or equivalent.
  • Hands-on experience with SQL-based platforms, ETL/ELT development, and Snowflake on AWS.
  • Proficiency in AWS, dbt, Matillion, CI/CD pipelines, and Azure DevOps or comparable tools.
  • Strong skills in SQL and at least one programming language like Python or Java.
  • Ability to solve technical problems using established processes with moderate guidance.
  • Cloud or data engineering certifications (AWS, Azure) preferred.
  • Experience with big data processing frameworks like Spark beneficial.

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