Data Engineer II - ETL​/ELT

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.

• 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 Git Lab, 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

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

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 (Git Lab, Git Hub Actions, etc.)
• Observability and monitoring tools such as Splunk or Dynatrace
• Experience in regulated or governance-heavy environments
• Relevant cloud or data platform certifications

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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