[Remote] Senior Data Engineer
Note: The job is a remote job and is open to candidates in USA. First Citizens Bank is seeking an experienced Senior Data Engineer to join their Data Platform Engineering Organization. The role involves building scalable cloud-based data solutions and optimizing data pipelines to enable data-driven decision-making across the organization.
Responsibilities
- Design, develop, and support scalable data pipelines, data warehouses, and cloud-based data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies
- Develop and maintain ETL/ELT processes, data integrations, and transformation frameworks supporting operational, reporting, and analytical workloads
- Implement and enhance data quality controls, reconciliation processes, testing frameworks, and dbt tests to ensure trusted and reliable data assets
- Optimize data pipeline performance and operational efficiency through monitoring, alert investigation, automation, testing, CI/CD, dashboard development, and production support activities
- Develop monitoring dashboards and operational metrics to improve platform visibility, reliability, and incident response
- Support deployment automation, release validation, and environment promotion processes to improve delivery reliability and operational efficiency
- Collaborate with business and technology stakeholders to understand requirements and deliver scalable data solutions that support business objectives
- Contribute to engineering best practices through technical discussions, peer reviews, documentation, and continuous improvement initiatives across the data engineering team
- Leverage AI-powered development and productivity tools to improve engineering efficiency, code quality, testing, and delivery outcomes
Skills
- Bachelor's Degree and 4 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines
- OR
- High School Diploma or GED and 8 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines
- Advanced experience with cloud platforms such as AWS, Azure, or GCP
- Advanced experience with modern data warehousing and large-scale data processing technologies such as Snowflake, Spark, or equivalent platforms
- Advanced proficiency in Python and SQL
- Advanced experience developing and supporting ETL/ELT processes, data pipelines, and data integration solutions utilizing tools such as dbt, Apache Airflow, Astronomer or equivalent cloud-native data engineering technologies
- Experience with data modeling, data warehousing, and data engineering best practices
- Experience designing, developing, and supporting scalable and reliable data engineering solutions in enterprise environments
- Experience collaborating with business and technology stakeholders to deliver data-driven solutions
- Strong analytical, problem-solving, and communication skills
Company Overview
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