Data Pipeline Engineer I

Credit One Bank; Las Vegas (NV); On-site; USD 100,000 - 150,000; Full time

Job summary

Credit One Bank in Las Vegas is seeking a data engineer to expand and optimize our data and data pipeline architecture across cross-functional teams. You will build and scale data pipelines, ensure secure data delivery, and support analytics initiatives from data wrangling to warehousing.

You will collaborate with software engineers, data scientists, and analysts to implement robust data solutions and drive improvements across data platforms in a fast-paced fintech environment.

Qualifications

• Relevant experience in data engineering and data architecture.
• Ability to design scalable data pipelines and ETL processes.
• Experience with cloud-based data platforms and storage solutions.
• Strong problem-solving and data-driven decision making.

Responsibilities

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets meeting business requirements.
• Build infrastructure for ETL using SQL and cloud data tech.
• Keep data secure across regions through multiple data centers and AWS regions.
• Create data tools for analytics and data scientists to improve products.
• Collaborate with data and analytics teams to enhance systems.
• Perform other duties as assigned.

Skills

SQL databases

Data pipelines

Root cause analysis

Analytical skills

Cross-functional teams

Python/Java/Scala

Cloud data tools

Data wrangling

Tools

Tableau

Apache Superset

Streamlit

Kibana

Spark

Kafka

Postgres

Mongo

Airflow

AWS services

Redshift

Kubernetes

Job description

Credit One Bank in Las Vegas is seeking a data engineer to expand and optimize our data and data pipeline architecture across cross-functional teams. You will build and scale data pipelines, ensure secure data delivery, and support analytics initiatives from data wrangling to warehousing.

You will collaborate with software engineers, data scientists, and analysts to implement robust data solutions and drive improvements across data platforms in a fast-paced fintech environment.