Data Engineer II - ETL/ELT
First Citizens Bank
Remote · Raleigh, NC · Posted September 17, 2026
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Where Raleigh, NC placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best all-round cities for new graduates in the Southeast68 / 100 · of 33
- #3Best all-round cities for remote workers in the Southeast84 / 100 · of 33
- #4Best all-round cities for new graduates67 / 100 · of 100
- #6Best cities for junior jobs in North Carolina33% · of 11
- #8Cities with the most jobs that do not need a four-year degree in the Southeast142 jobs · of 72
- #9Best cities for software and engineering jobs in the Southeast341 openings · of 65
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- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
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 .
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
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 .