Data Engineer I – Data Platform

First Citizens Bank

. Design, build, and support scalable data pipelines and cloud-based data solutions .

Posted 11/2/2026full-timeRemote • United StatesJunior💰 $86,625 - $100,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing scalable data pipelines and cloud-based data solutions, with a strong focus on ETL/ELT processes, data quality management, and operational support. Proficient in leveraging cloud technologies and analytics platforms to enhance data-driven decision-making in regulated industries.

Highest-signal resume keywords

Data Pipeline DevelopmentETL/ELT ImplementationCloud-Based Data SolutionsData Quality ManagementAWS Certified Cloud Practitioner

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringDimensional Data ModelingData Quality ValidationsWorkflow OrchestrationCI/CD ProcessesData GovernanceData Vault ModelingBig Data TechnologiesOperational Data StoresAnalytics Platforms

Soft Skills

CollaborationTroubleshootingCommunication

Tools & Technologies

AirflowTableauPower BIDataStageSAP BODSSSISInformaticaAI-Powered Development Tools

Certifications & Qualifications

AWS Certified Cloud PractitionerAWS Certified Developer – AssociateAWS Certified Data Engineer – AssociateSnowPro Core Certification

Industry Keywords

Financial ServicesBankingData GovernanceComplianceData Quality Management

Tech Stack

Tools & technologies

AirflowAWSCloudETLInformaticaSSISTableauVault

About the role

Key responsibilities & impact

Design, build, and support scalable data pipelines and cloud-based data solutions
Implement data warehouse solutions, dimensional data models, and ETL/ELT processes supporting reporting, analytics, and business intelligence
Implement data quality validations, test cases, and controls
Develop and maintain data tests, including dbt tests
Support workflow orchestration, monitoring, troubleshooting, log analysis, and production operations using Airflow and cloud-native technologies
Collaborate with business users, product partners, analysts, and technology teams
Follow engineering standards, development practices, documentation requirements, and testing procedures
Participate in pipeline deployments, environment promotion, operational support, and performance optimization using CI/CD processes
Leverage AI-powered development and productivity tools to improve engineering efficiency, code quality, and delivery outcomes

Requirements

What you’ll need

Bachelor's Degree and 1 year experience OR High School Diploma or GED/Equivalent and 5 years' experience
Preferred area of study: Computer Science, Information Systems, Data Science, or related field
Preferred area of experience: Data engineering, database management, or related field
Experience with cloud-based data platforms and big data technologies
Experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies
Experience with Operational Data Stores (ODS), analytics platforms, and data products
Experience working with cloud-based and on-premises data environments
Exposure to Data Vault modeling and modern data warehousing methodologies
Understanding of data governance, security, compliance, and data quality management practices
Experience within Financial Services, Banking, or other highly regulated industries
Familiarity with Tableau, Power BI, or other analytics and visualization platforms
Experience using AI-powered development and productivity tools
AWS Certified Cloud Practitioner, AWS Certified Developer – Associate, AWS Certified Data Engineer – Associate, SnowPro Core Certification, or equivalent cloud and data platform certifications

Benefits

Comp & perks

Variable incentives, bonuses, benefits, and/or other awards may be included in total compensation
Competitive, thoughtfully designed and quality benefits program