Data Engineer II

First Citizens Bank•Austin, TX

4d•Remote

About The Position

This is a remote role that may only be hired in the following location(s): North Carolina, Texas, Arizona & Florida. The position is responsible for designing, developing, and maintaining data pipelines and infrastructure. This role implements data integration, processing, and analytics solutions while collaborating with cross-functional teams to deliver efficient and scalable data systems.

Requirements

Bachelor's Degree and 2 years of experience in Data engineering, data technologies, cloud platforms
High School Diploma or GED and 6 years of experience in Data engineering, data technologies, cloud platforms

Nice To Haves

Building data pipelines using Medallion Architecture patterns
Data ingestion using Qlik Replicate (snapshot, CDC, batch)
Python development for data pipeline components
dbt Cloud transformations, testing, and SQL development
Snowflake ingestion and processing (Snowpipe, Tasks, Stored Procedures)
RBAC and data masking concepts in Snowflake
Cloud-native development on AWS or equivalent Azure platforms
Experience with CI/CD pipelines (GitLab, GitHub Actions, etc.)
Observability and monitoring tools such as Splunk or Dynatrace
Experience in regulated or governance-heavy environments
Relevant cloud or data platform certifications

Responsibilities

Design, develop, and maintain data pipelines for efficient data processing and integration for real-time and batch-processing.
Implement and optimize ETL processes to extract, load, transform and integrate data from various sources.
Enhance data flows and storage solutions for improved performance.
Design and implement data warehouse structures.
Ensure data quality and consistency within the data warehouse.
Apply data modeling techniques for efficient data storage and retrieval.
Implement data governance policies and procedures.
Implement data quality frameworks, standards and documentation.
Ensure compliance with relevant data regulations and standards.
Implement data security measures and access controls.
Maintain data protection protocols.
Analyze and optimize system performance for large-scale data operations.
Troubleshoot data issues and implement robust solutions.
Write unit test cases, validate the data integrity & consistency requirements, adopt automated data pipelines using GitLab, Github, CICD tools.
Adopt release management processes to promote code deployment to various environments including production, disaster recovery, and support activities.
Collaborate with data scientists, analysts, and other teams to understand and meet data requirements.
Participate in cross-functional projects to support data-driven initiatives.