Senior Data Engineer – ETL/ELT

First Citizens Bank

. Design and build data pipelines using established Medallion Architecture patterns (Bronze, Silver, Gold) .

Posted 11/2/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building data pipelines using Medallion Architecture patterns, with a strong focus on cloud-native development and data ingestion processes. Proficient in Python, dbt modeling, and Snowflake ingestion, while ensuring data quality and performance optimization.

Highest-signal resume keywords

Data Pipeline DevelopmentMedallion ArchitectureQlik ReplicateSnowflake IngestionAWS Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringPython DevelopmentSQL DevelopmentDbt ModelingData IngestionCI/CD PipelinesData Quality TestingStored ProceduresRBACData Masking

Soft Skills

MentoringCollaborationProblem-SolvingTechnical GuidanceStakeholder Partnership

Tools & Technologies

Qlik ReplicateSnowflakeAWSAzureGitLabGitHub ActionsSplunkDynatraceS3Lambda

Certifications & Qualifications

Cloud CertificationsData Platform Certifications

Industry Keywords

Cloud PlatformsData TechnologiesGovernanceRegulated EnvironmentsData Workloads

Tech Stack

Tools & technologies

AWSAzureCloudDynamoDBPythonSnowflakeSplunkSQL

About the role

Key responsibilities & impact

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

What you’ll need

Bachelor's Degree and 4 years of experience in Data engineering, data technologies, cloud platforms OR High School Diploma or GED and 8 years of experience in Data engineering, data technologies, cloud platforms
Hands-on experience building and operating modern data pipelines in a cloud-based data platform
Experience building data pipelines using Medallion Architecture patterns
Experience with Qlik Replicate for snapshot, CDC, and batch ingestion
Python development for data pipeline components
dbt Cloud modeling, testing, and SQL development
Snowflake ingestion and processing using Snowpipe, Tasks, and Stored Procedures
Knowledge of RBAC and data masking concepts in Snowflake
Cloud-native development on AWS or equivalent Azure platforms
Experience with CI/CD pipelines such as GitLab and GitHub Actions
Experience with 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 are preferred
Ability to independently deliver complex pipeline components
Ability to partner effectively with Lead Data Engineers
Ability to mentor junior engineers
Experience with AWS services including S3, Lambda, ECS Fargate, Glue, DynamoDB, and IAM, or equivalent Azure services

Benefits

Comp & perks

Competitive, thoughtfully designed and quality benefits program
Benefits information provided at https://jobs.firstcitizens.com/benefits