Data Platform Engineer II: Scalable Pipelines & Cloud Data

Credit One Bank; Las Vegas (NV); On-site; USD 120,000 - 180,000; Full time

Job summary

Credit One Bank in Las Vegas, NV is seeking a data engineer to build and maintain scalable data pipelines and infrastructure for ETL from diverse sources, supporting analytics and product initiatives.

You will collaborate with software developers, database architects, analysts, and data scientists, applying SQL, Python/Java, and cloud data technologies to optimize data architecture, ensure security, and enable data-driven decision making across regions.

Qualifications

• Requires at least four years of experience in data engineering, software engineering, or a related field, with strong SQL and Python and/or Java skills.
• Candidates should have experience with cloud data pipelines, orchestration, distributed processing, relational and NoSQL databases, data modeling, version control, and CI/CD.
• Proven ability to collaborate with cross-functional teams to implement data solutions.

Responsibilities

• Build and maintain scalable data pipelines and infrastructure for extracting, transforming, and loading data from diverse sources.
• Optimize data architecture and secure data across regions.
• Develop analytics tools and collaborate with software developers, database architects, analysts, and data scientists to support business and product initiatives.

Skills

SQL

Python

Java

Data Engineering

Data Pipeline Architecture

Cloud Data Technologies

Apache Airflow

Apache Spark

Relational Databases

NoSQL Databases

Data Modeling

Dimensional Modeling

Data Warehousing

Git

CI/CD

AWS

Job description

Credit One Bank in Las Vegas, NV is seeking a data engineer to build and maintain scalable data pipelines and infrastructure for ETL from diverse sources, supporting analytics and product initiatives.

You will collaborate with software developers, database architects, analysts, and data scientists, applying SQL, Python/Java, and cloud data technologies to optimize data architecture, ensure security, and enable data-driven decision making across regions.