Data Engineer II - ETL/ELT

About the role

Overview

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.

Responsibilities & Qualifications

Duties & Responsibilities:

Data Pipelines - 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

Data Warehousing - 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

Data Governance, Quality & Compliance - Implement data governance policies and procedures. Implement data quality frameworks, standards and documentation. Ensure compliance with relevant data regulations and standards

Security & Access Management - Implement data security measures and access controls. Maintain data protection protocols

Performance Optimization and Troubleshooting - Analyze and optimize system performance for large-scale data operations. Troubleshoot data issues and implement robust solutions

Testing & Automation – Write unit test cases, validate the data integrity & consistency requirements, adopt automated data pipelines using GitLab, Github, CICD tools.

Code Deployment & Release Management - Adopt release management processes to promote code deployment to various environments including production, disaster recovery, and support activities.

Cross-Functional Collaboration - Collaborate with data scientists, analysts, and other teams to understand and meet data requirements. Participate in cross-functional projects to support data-driven initiatives

Qualifications

Bachelor's Degree and 2 years of experience in Data engineering, data technologies, cloud platforms

OR

High School Diploma or GED and 6 years of experience in Data engineering, data technologies, cloud platforms

Preferred Qualifications:

Qualified candidates will have proven, hands-on production experience with most of the following:

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

#LI-JM1

Additional Information

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits .

Posting text as published by First Citizens BancShares.

The evidence behind this listing

Workplace

Remote Matched in posting text

Seniority

Not established

Employment type

Not established

Location as listed

NCSDAC-Data Center; TXTELE-Texas - Remote; FLTELE-Florida - Remote; NCTELE-North Carolina - Remote; AZTELE-Arizona - Remote

Pay and work authorization

Stated pay

Not stated

Visa sponsorship

Not stated

Security clearance

Not established

Citizenship

Not established