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# Data Engineer II

- **Company:** First Citizens
- **Location:** Scottsdale, AZ, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Business Analytics Applications, Architectural Patterns, Automation of Tests, Unit Testing, Microsoft Azure, Batch Processing, Big Data, Cloud Computing, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Masking, Data Systems, Data Warehousing, Database Development, Disaster Recovery, Github, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Performance Tuning, Role-Based Access Control, Release Management, Software Deployment, SQL Stored Procedures, Data Streaming, Data Processing, Data Storage Management, Data Ingestion, Snowflake, Gitlab, Qlikview, Splunk, Data Pipelines, Dynatrace
- **Published:** September 18, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18349308?backUrl=%2Fcareer%2F18349308%2FData-Engineer-Ii-Arizona-Scottsdale

## About the Role

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

## Description

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 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


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