Data Engineer I - Remote

First Citizens Bank•Raleigh, NC
•Remote

About The Position

This remote Data Engineer I 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 role is part of the Data Platform Engineering Organization and contributes to building scalable cloud-based data solutions that support analytics and data-driven decision-making. The engineer will work with AWS services, Snowflake, dbt, Python, SQL, and related technologies to develop and support data pipelines, integrations, and data products. As part of the Cloud Data & AI Platform organization, the engineer will collaborate with engineers, product partners, and business stakeholders to modernize enterprise data platforms and deliver cloud-based solutions supporting business initiatives and the bank’s data and AI transformation. The position includes developing data warehouse solutions and ETL/ELT processes, supporting data quality and operational reliability, and following established engineering, documentation, testing, deployment, and CI/CD practices.

Requirements

  • Bachelor’s degree and 1 year of experience, or high school diploma/GED or 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 accurate, consistent, and reliable data assets.
  • Develop and maintain data tests, including dbt tests, to support 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 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 employer describes its benefits program as competitive, thoughtfully designed, and intended to meet associates’ needs; further information is available at the provided benefits website.
  • For some roles, total compensation may include variable incentives, bonuses, benefits, and/or other awards as outlined in the employment offer.
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