Senior Data Engineer

Pacific Life

Senior Data Engineer building Snowflake customer data platforms for Pacific Life, an insurer protecting financial futures. Designing ETL/ELT pipelines and customer data models using AWS, SQL, dbt, and Matillion.

Posted 8/18/2026full-timeCharlotte • North Carolina • 🇺🇸 United StatesSenior💰 $125,100 - $152,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building ETL/ELT data pipelines using Snowflake on AWS, with proficiency in SQL and data transformation tools like dbt and Matillion. Strong experience in Agile methodologies and CI/CD practices, ensuring adherence to data governance and quality standards.

Highest-signal resume keywords

ETL/ELT DevelopmentSnowflakeSQL ProficiencyDbtAWS

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData IntegrationSQLPythonJavaData TransformationBig Data ProcessingData GovernanceData QualityAI-Assisted Development

Soft Skills

Problem SolvingCollaboration

Tools & Technologies

MatillionAzure DevOpsCI/CDAgileMicrosoft Copilot

Certifications & Qualifications

Cloud CertificationsData Engineering Certifications

Industry Keywords

Data PipelinesCustomer DataData ModelsMPP Data EnvironmentsData Security

Tech Stack

Tools & technologies

AWSAzureCloudETLJavaMatillionPythonSparkSQL

About the role

Key responsibilities & impact

Design, build, test, and support ETL/ELT data pipelines ingesting and transforming customer data into Snowflake on AWS
Develop and maintain data transformations and models using dbt and Matillion
Execute Agile delivery processes, including sprint planning, development, testing, and deployment
Use Azure DevOps and CI/CD practices
Collaborate with senior data engineers, architects, and business partners to understand requirements and deliver reliable customer data assets
Use approved AI-assisted development tools to improve productivity, code quality, and efficiency
Adhere to data governance, security, and quality standards
Support Pacific Life’s customer data platform and ongoing customer data initiatives

Requirements

What you’ll need

5+ years of experience in data engineering, data integration, or a related technical role
Bachelor’s degree in IT, Computer Science, Data Science, Statistics, or equivalent practical experience
Hands-on experience with SQL-based data platforms and ETL/ELT development
Experience with modern cloud or MPP data environments, such as Snowflake
Working knowledge of AWS, dbt, Matillion, CI/CD pipelines, and Azure DevOps, or comparable tools
Proficiency in SQL
Proficiency in at least one programming language, such as Python or Java
Ability to solve straightforward technical problems using established processes with moderate guidance
Cloud or data engineering certifications are a plus
Experience with big data processing frameworks or platforms, such as Spark, is a plus
Experience with AI-assisted development tools, such as Microsoft Copilot or Claude, is a plus

Benefits

Comp & perks

Medical, Dental, Vision, and Wellbeing Reimbursement Account
Paid Time Off
Holiday Schedules
Financial Planning Time Off
Paid Parental Leave
Adoption Assistance Program
Competitive 401k savings plan with company match
Additional 401k contribution regardless of participation
Flexible benefits that can be tailored to individual needs
Inclusive workplace and diversity and inclusion support