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# Data Engineer II

- **Company:** First Citizens
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Business Analytics Applications, Microsoft Azure, Big Data, Cloud Computing, Information Systems, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, IBM InfoSphere DataStage, Apache Hadoop, Identity and Access Management, Python (Programming Language), SQL Databases, SQL Server Integration Services, Data Streaming, Data Processing, Data Storage Management, Google Cloud, Cloud Platform System, Snowflake, Apache Spark, Information Technology, Data Pipelines, Programming Languages
- **Published:** August 25, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18060646?backUrl=%2Fcareer%2F18060646%2FData-Engineer-Ii-Texas-Austin

## About the Role

Minimum Required Education and Experience: Bachelor's Degree and 2 years' experience OR High School Diploma or GED/Equivalent and 6 years' experience in Data engineering, database management, or related field
Preferred Education:Other
Preferred Area of Study:Computer Science, Information Systems, Data Science, or related field
Preferred Area of Experience:Experience with cloud-based data platforms and big data technologies
Required Licenses or Certifications:
Preferred Licenses or Certifications

## Description

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. Implement and optimize ETL processes to extract, transform, and load 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. Maintain data quality 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
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
Position Specific Skills:
SQL and database management
ETL processes and tools (e.g., DBTran, IICS, DataStage, SSIS, Apache Spark, Airflow)
Big data technologies (e.g., Snowflake, Hadoop, Spark)
Programming languages (e.g., Python, Java)
Data modeling and architecture
Cloud platforms (e.g., AWS, Azure, GCP)


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