Data Engineer II – Data Platform

First Citizens Bank

. Design, build, and support scalable data pipelines and cloud-based data solutions using AWS Services, Snowflake, dbt, Python, SQL, and related technologies .

Posted 11/3/2026full-timeRemote • United StatesJuniorMid-Level💰 $110,550 - $135,000 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 using AWS, Snowflake, and Python. Proficient in ETL/ELT processes, data quality management, and collaboration with cross-functional teams to deliver data-driven insights.

Highest-signal resume keywords

AWS ServicesSnowflakePythonSQLETL/ELT Processes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData WarehousingData Pipeline DevelopmentData Quality ValidationDimensional Data ModelingData Integration SolutionsAI-Powered Development ToolsData GovernanceData Vault ModelingOperational Data Stores

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication Skills

Tools & Technologies

DbtApache AirflowCI/CD ProcessesTableauPower BI

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

AirflowApacheAWSCloudETLInformaticaPythonSnowflakeSparkSQLSSISTableauVault

About the role

Key responsibilities & impact

Design, build, and support scalable data pipelines and cloud-based data solutions using AWS Services, Snowflake, dbt, Python, SQL, and related technologies
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
Contribute to modernizing enterprise data platforms and delivering cloud-based data solutions supporting critical business initiatives

Requirements

What you’ll need

Bachelor's Degree and 2 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines; OR High School Diploma or GED and 6 years of experience in those disciplines
Experience with cloud-based data platforms and modern data processing technologies such as AWS, Snowflake, Spark, or equivalent solutions
Proficiency in Python and SQL with experience developing ETL/ELT processes, data pipelines, and data integration solutions
Experience with dbt, Apache Airflow, or similar technologies
Experience delivering and supporting scalable, reliable data solutions in enterprise environments
Experience collaborating with business and technology stakeholders to deliver data-driven solutions
Strong analytical, problem-solving, and communication skills
Experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies is a plus
Experience with Operational Data Stores, analytics platforms, and data products is a plus
Experience with cloud-based and on-premises data environments is a plus
Exposure to Data Vault modeling and modern data warehousing methodologies is a plus
Understanding of data governance, security, compliance, and data quality management practices is a plus
Experience within Financial Services, Banking, or other highly regulated industries is a plus
Familiarity with Tableau, Power BI, or other analytics and visualization platforms is a plus
Experience using AI-powered development and productivity tools is a plus
AWS Certified Cloud Practitioner, AWS Certified Developer – Associate, AWS Certified Data Engineer – Associate, SnowPro Core Certification, or equivalent certifications is a plus

Benefits

Comp & perks

Competitive, thoughtfully designed benefits program
Benefits may include health and other total-rewards offerings as outlined in the offer of employment
Variable incentives, bonuses, benefits, and/or other awards may be included in total compensation