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# Senior Data Engineer

- **Company:** First Citizens
- **Location:** Raleigh, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Business Analytics Applications, Microsoft Azure, Batch Processing, Big Data, Cloud Computing, Information Systems, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, IBM InfoSphere DataStage, Apache Hadoop, Monitoring of Systems, Machine Learning, Performance Tuning, Cloud Services, SQL Server Integration Services, Data Streaming, Google Cloud, Real Time Systems, Snowflake, Apache Spark, Data Strategy, Information Technology, Data Management, Machine Learning Operations, Data Pipelines
- **Published:** August 25, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18060604?backUrl=%2Fcareer%2F18060604%2FSenior-Data-Engineer-North-Carolina-Raleigh

## About the Role

Advanced data modeling and architecture
ETL processes and tools (e.g., DBTran, IICS, DataStage, SSIS, Apache Spark, Airflow)
Big data technologies (e.g., Snowflake, Hadoop, Spark) (Expert, Required)
Cloud data platforms (e.g., AWS, Azure, GCP)
Data streaming and real-time processing
Machine learning integration

Qualifications:

Minimum Required Education and Experience: Bachelor's Degree and 4 years' experience.

OR

High School Diploma or GED/Equivalent and 8 years' experience in Data engineering, big data technologies, cloud platforms.

Preferred Education:Other
Preferred Area of Study:Computer Science, Information Systems, Data Science, or related field
Preferred Area of Experience:Machine learning operations, data science collaboration
Required Licenses or Certifications:
Preferred Licenses or Certifications

## Description

This position is responsible for architecting, implementing, and optimizing complex data solutions. This role leads the development of sophisticated data pipelines, warehouses, and analytics platforms while mentoring junior team members and collaborating with stakeholders to drive data-driven decision-making, Data Architecture and Strategy - Design and implement scalable, efficient data architectures. Lead the development of data strategy aligned with business objectives. Evaluate and integrate new technologies to enhance data capabilities
Advanced Data Pipeline Development - Architect and implement complex data pipelines for real-time and batch processing. Optimize data flows for high-volume, high-velocity data environments. Develop advanced ETL processes for diverse data sources.
Data Governance and Quality Management - Establish and enforce data governance policies and best practices. Implement data quality frameworks and monitoring systems. Ensure compliance with data regulations and standards
Performance Optimization and Troubleshooting - Analyze and optimize system performance for large-scale data operations. Troubleshoot complex data issues and implement robust solutions
Mentorship and Knowledge Sharing - Mentor junior data engineers and provide technical guidance. Contribute to the development of best practices and standards. Collaborate with cross-functional teams to drive data literacy


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