Data Engineer II – ETL/ELT

First Citizens Bank

. Design, develop, and maintain data pipelines for real-time and batch processing .

Posted 11/2/2026full-timeRemote • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing data pipelines, implementing ETL processes, and ensuring data quality and compliance within data governance frameworks. Proficient in cloud-native development and data modeling techniques to support large-scale data operations.

Highest-signal resume keywords

Data Pipeline DevelopmentETL Process OptimizationPython DevelopmentSnowflake IngestionCI/CD Pipeline Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ModelingSQL DevelopmentQlik ReplicateMedallion ArchitectureDbt Cloud TransformationsAWS DevelopmentData GovernanceData Security MeasuresUnit Testing

Soft Skills

CollaborationProblem-Solving

Tools & Technologies

GitLabGitHubSnowpipeSplunkDynatrace

Certifications & Qualifications

Cloud Certifications

Industry Keywords

Data RegulationsGovernance-Heavy EnvironmentsData QualityData Protection Protocols

Tech Stack

Tools & technologies

AWSAzureCloudETLPythonSnowflakeSplunkSQL

About the role

Key responsibilities & impact

Design, develop, and maintain data pipelines 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
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
Implement data governance policies, procedures, quality frameworks, standards, and documentation
Ensure compliance with relevant data regulations and standards
Implement data security measures and access controls
Maintain data protection protocols
Analyze and optimize system performance for large-scale data operations
Troubleshoot data issues and implement robust solutions
Write unit test cases and validate data integrity and consistency requirements
Adopt automated data pipelines using GitLab, GitHub, and CI/CD tools
Adopt release management processes for code deployment to production, disaster recovery, and other environments
Collaborate with data scientists, analysts, and other teams to meet data requirements
Participate in cross-functional projects supporting data-driven initiatives

Requirements

What you’ll need

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
Hands-on production experience with building data pipelines using Medallion Architecture patterns
Experience with Qlik Replicate for snapshot, CDC, and batch data ingestion
Python development for data pipeline components
dbt Cloud transformations, testing, and SQL development
Snowflake ingestion and processing, including Snowpipe, Tasks, and Stored Procedures
RBAC and data masking concepts in Snowflake
Cloud-native development on AWS or equivalent Azure platforms
Experience with CI/CD pipelines such as GitLab and GitHub Actions
Experience with observability and monitoring tools such as Splunk or Dynatrace
Experience in regulated or governance-heavy environments
Relevant cloud or data platform certifications are preferred
Must be hired in North Carolina, Texas, Arizona, or Florida

Benefits

Comp & perks

Competitive, thoughtfully designed and quality benefits program
Benefits information available through the employer’s benefits program