Data Engineer II - ETL/ELT

First Citizens Bank; Phoenix (AZ); Remote; USD 110,000 - 140,000; Full time

Job summary

First Citizens Bank is seeking a data engineer to design and maintain scalable data pipelines and data warehouses. The role emphasizes real-time and batch data processing, governance, and collaboration with data scientists to deliver data-driven insights.

Candidates should have a degree or substantial experience in data engineering, cloud platforms, and modern data tooling. Remote work is supported for qualified U.S. locations, including AZ, NC, TX, and FL.

Qualifications

• When applying, candidates should have a degree or equivalent experience in data fields.
• Experience in data engineering, data technologies, and cloud platforms is required.
• Preferred hands-on production experience with modern data tools.

Responsibilities

• Design, develop, and maintain data pipelines for real-time and batch processing.
• Design data warehouses and apply modeling techniques for efficient storage.
• Implement data governance, quality frameworks, and security controls.
• Collaborate with data scientists and analysts to meet data requirements.
• Develop automated data pipelines using CI/CD and testing.
• Lead release management for production and disaster recovery environments.

Skills

Data engineering

ETL pipelines

Python development

SQL development

Cloud platforms

Education

Bachelor's Degree in Data or related field

High School Diploma or GED + 6 years experience

Tools

Snowflake

dbt Cloud

CI/CD (GitLab, GitHub Actions)

Qlik Replicate

Medallion Architecture

Splunk/Dynatrace

Snowpipe

Job description

Overview

This is a remote role that may only be hired in the following location(s): North Carolina, Texas, Arizona & Florida.

The position is responsible for designing, developing, and maintaining data pipelines and infrastructure. This role implements data integration, processing, and analytics solutions while collaborating with cross-functional teams to deliver efficient and scalable data systems.

Responsibilities & Qualifications

Duties & Responsibilities:

• Data Pipelines - Design, develop, and maintain data pipelines for efficient data processing and integration for real-time and batch-processing. Implement and optimize ETL processes to extract, load, transform and integrate data from various sources. Enhance data flows and storage solutions for improved performance
• Data Warehousing - Design and implement data warehouse structures. Ensure data quality and consistency within the data warehouse. Apply data modeling techniques for efficient data storage and retrieval
• Data Governance, Quality & Compliance - Implement data governance policies and procedures. Implement data quality frameworks, standards and documentation. Ensure compliance with relevant data regulations and standards
• Security & Access Management - Implement data security measures and access controls. Maintain data protection protocols
• Performance Optimization and Troubleshooting - Analyze and optimize system performance for large-scale data operations. Troubleshoot data issues and implement robust solutions
• Testing & Automation - Write unit test cases, validate the data integrity & consistency requirements, adopt automated data pipelines using GitLab, Github, CICD tools.
• Code Deployment & Release Management - Adopt release management processes to promote code deployment to various environments including production, disaster recovery, and support activities.
• Cross-Functional Collaboration - Collaborate with data scientists, analysts, and other teams to understand and meet data requirements. Participate in cross-functional projects to support data-driven initiatives

Qualifications

Bachelor's Degree and 2 years of experience in Data engineering, data technologies, cloud platforms

OR

High School Diploma or GED and 6 years of experience in Data engineering, data technologies, cloud platforms

Preferred Qualifications:

Qualified candidates will have proven, hands‑on production experience with most of the following:

• Building data pipelines using Medallion Architecture patterns
• Data ingestion using Qlik Replicate (snapshot, CDC, batch)
• Python development for data pipeline components
• dbt Cloud transformations, testing, and SQL development
• Snowflake ingestion and processing (Snowpipe, Tasks, Stored Procedures)
• RBAC and data masking concepts in Snowflake
• Cloud-native development on AWS or equivalent Azure platforms
• Experience with CI/CD pipelines (GitLab, GitHub Actions, etc.)
• Observability and monitoring tools such as Splunk or Dynatrace
• Experience in regulated or governance-heavy environments
• Relevant cloud or data platform certifications

#LI-JM1

Additional Information

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.