Remote Data Engineer II: Scalable Pipelines & Data Warehousing

First Citizens Bank; Phoenix (AZ); On-site; USD 95,000 - 150,000; Full time

Job summary

First Citizens Bank is seeking a data engineer to design, build, and maintain scalable data pipelines and warehouses in a remote-capable role. You will collaborate with data scientists and analysts to deliver reliable data infrastructure.

The position requires experience with ETL, cloud platforms, and governance while ensuring security and quality across the data stack. Responsibilities include optimizing performance, automating pipelines, and managing deployments to prod and DR environments.

Qualifications

• Bachelor’s degree in data engineering or a related field is required.
• 6+ years of experience in data engineering or data technologies is acceptable with a high school diploma.
• Experience designing and maintaining scalable data pipelines and warehousing solutions.

Responsibilities

• Design, develop, and maintain data pipelines for real-time and batch processing.
• Design and implement data warehouses ensuring data quality and efficient access.
• Implement data governance, quality, and compliance frameworks.
• Enforce data security measures and access controls across platforms.
• Analyze and optimize performance for large-scale data operations.
• Develop automated pipelines and tests using GitLab/GitHub CI/CD.
• Plan and manage code deployment across production and disaster recovery environments.
• Collaborate with data scientists and analysts to meet data requirements.

Skills

ETL design & development

Python development

Data modeling

Cloud platforms familiarity

CI/CD understanding

Education

Bachelor's Degree in Data Engineering or related field

High School Diploma or GED with 6 years experience

Tools

Qlik Replicate

dbt Cloud

Snowflake

CI/CD (GitLab, GitHub Actions)

AWS/Azure

Splunk

Dynatrace

Job description

First Citizens Bank is seeking a data engineer to design, build, and maintain scalable data pipelines and warehouses in a remote-capable role. You will collaborate with data scientists and analysts to deliver reliable data infrastructure.

The position requires experience with ETL, cloud platforms, and governance while ensuring security and quality across the data stack. Responsibilities include optimizing performance, automating pipelines, and managing deployments to prod and DR environments.