Senior Data Engineer
Listed on 2026-06-18
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IT/Tech
Data Engineering, Data Analyst, Data Warehousing, Data Science Manager
Overview
This position is responsible for architecting, implementing, and optimizing complex data solutions. This role leads to 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.
Responsibilities- Data Architecture and Strategy
- Design and implement scalable, efficient data architecture. 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.
Bachelor's Degree and 4 years of experience in Software application development and maintenance OR High School Diploma or GED and 8 years of experience in Software application development and maintenance.
Preferred Area of Study: Computer Science, Information Systems, Data Science, or related field.
Preferred Area of
Experience:
Machine learning operations, data science, advanced data modeling and architecture, ETL processes and tools (e.g., DBTran, IICS, Data Stage, SSIS, Apache Spark, Airflow, BODS), 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, BI and data analytics (e.g., BO, Tableau, Power BI).
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
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