Senior Data Engineer - ELT

First Citizens Bank is seeking a Senior Data Engineer to support its data engineering platforms. The role focuses on building, enhancing, operating, and troubleshooting modern cloud-based data pipelines, while collaborating with lead engineers, stakeholders, and junior team members.

Responsibilities:

• Design and build data pipelines using established Medallion Architecture patterns (Bronze, Silver, Gold)
• Implement batch and CDC-based ingestion pipelines from databases, files, and APIs
• Support pipeline reliability, scalability, performance, and cost optimization
• Develop and support ingestion pipelines using Qlik Replicate for snapshot and CDC patterns
• Implement ingestion processes for structured and semi-structured data
• Build and extend Python-based pipeline components following existing frameworks
• Develop dbt models using SQL and Jinja templating
• Implement and maintain automated tests for data quality, freshness, and schema validation
• Participate in CI/CD-based deployments of dbt transformations
• Implement Snowflake ingestion patterns using Snowpipe and Tasks
• Apply and support RBAC, dynamic masking, and tag-based access controls
• Develop stored procedures and support governed data access patterns
• Develop and operate data workloads using AWS services such as S3, Lambda, ECS Fargate, Glue, DynamoDB, and IAM, or equivalent Azure services
• Collaborate with senior engineers on deployment pipelines, automation, and environment promotion
• Troubleshoot data pipeline issues and participate in production support
• Implement logging, monitoring, and alerting for pipelines and data processes
• Contribute to performance tuning and cost optimization efforts
• Mentor junior data engineers through code reviews and technical guidance
• Collaborate with Lead Data Engineers on design and implementation decisions
• Partner with stakeholders to translate requirements into technical solutions

Requirements:

• This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Texas
• Bachelor's Degree and 4 years of experience in Data engineering, data technologies, cloud platforms
• High School Diploma or GED and 8 years of experience in Data engineering, data technologies, cloud platforms
• Building data pipelines using Medallion Architecture patterns
• Data ingestion using Qlik Replicate (snapshot, CDC, batch)
• Python development for data pipeline components
• dbt Cloud modeling, 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
• Snowflake AI development using Cortex CoCo
• Relevant cloud or data platform certifications