Data Engineer I

First Citizens Bank•Raleigh, NC
•Remote

About The Position

This remote role may be hired in several markets across the United States, with priority given to candidates located near Raleigh, North Carolina; Phoenix, Arizona; or Dallas, Texas. The Data Engineer will join the Data Platform Engineering Organization and help build scalable, cloud-based data solutions that enable analytics and data-driven decision-making across the organization. The role contributes to the development and support of data pipelines, integrations, and data products using AWS services, Snowflake, dbt, Python, SQL, and related technologies. The engineer will work with engineers, product partners, business stakeholders, analysts, and technology teams to modernize enterprise data platforms and support business initiatives as part of the bank’s Data and AI transformation. The successful candidate will bring problem-solving skills and a collaborative approach to building reliable, scalable, high-quality data solutions.

Requirements

  • Bachelor’s degree and 1 year of experience, or a high school diploma or GED/equivalent and 5 years of experience.
  • Preferred area of study: Computer Science, Information Systems, Data Science, or a related field.
  • Preferred experience in data engineering, database management, or a related field, including experience with cloud-based data platforms and big data technologies.

Nice To Haves

  • 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 in 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 to improve engineering efficiency and delivery outcomes.
  • AWS Certified Cloud Practitioner, AWS Certified Developer – Associate, AWS Certified Data Engineer – Associate, SnowPro Core Certification, or equivalent cloud and data platform certifications.

Responsibilities

  • 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 for reporting, analytics, and business intelligence.
  • Implement data-quality validations, test cases, and controls to ensure data assets are accurate, consistent, and reliable.
  • Develop and maintain data tests, including dbt tests, to meet data-quality and reliability requirements.
  • 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 to deliver data solutions that support business objectives.
  • Follow engineering standards, development practices, documentation requirements, and testing procedures.
  • Participate in pipeline deployments, environment promotion, operational support, and performance optimization using established CI/CD processes.
  • Use AI-powered development and productivity tools to improve engineering efficiency, code quality, and delivery outcomes.

Benefits

  • The company describes its benefits program as competitive and designed to meet associates’ needs; further details are provided on its benefits website.
  • For some roles, total compensation may include variable incentives, bonuses, benefits, and/or other awards as outlined in the offer of employment.
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