Data Engineer I – Data Platform
New
F
First Citizens BankBanking, data engineering
This is a remote role that may be hired in several markets across the United States.Full-TimeEntry
Salary86,625 - 100,000 USD per year
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Job Details
- Experience
- Bachelor's Degree and 1 year experience OR High School Diploma or GED/Equivalent and 5 years' experience
- Required Skills
- AWSPythonSQLSnowflakeAirflowCI/CDdbt
Requirements
- Hold a bachelor's degree and have 1 year of experience, or have a high school diploma or GED/equivalent and 5 years of experience.
- Preferred areas of study include Computer Science, Information Systems, Data Science, or a related field.
- Preferred experience includes data engineering, database management, or a related field.
- Have 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 is preferred.
- Experience with Operational Data Stores, analytics platforms, and data products is preferred.
- Experience working in cloud-based and on-premises data environments is preferred.
- Exposure to Data Vault modeling and modern data warehousing methodologies is preferred.
- Understanding of data governance, security, compliance, and data quality management practices is preferred.
- Experience in financial services, banking, or another highly regulated industry is preferred.
- Familiarity with Tableau, Power BI, or other analytics and visualization platforms is preferred.
- Relevant AWS or Snowflake certifications, or equivalent cloud and data platform certifications, are preferred.
Responsibilities
- Design, build, and support scalable data pipelines and cloud-based data solutions using AWS Services, Snowflake, dbt, Python, and SQL.
- 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 for accurate and reliable data assets.
- 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 to deliver data solutions.
- 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.
- Use AI-powered development and productivity tools to improve engineering efficiency, code quality, and delivery outcomes.
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