Data Engineer

Credit One Bank
Las Vegas, Nevada, United StatesFull-timePosted Aug 28, 2026

About the role

Description

Position Summary

We are looking for a savvy Data Engineer to join our growing team of analytics experts. The individual in this position will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

The Data Engineer will support our software developers, database architects, data analysts, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Summary Of Essential Job Functions

Create and maintain optimal data pipeline architecture,

Assemble large, complex data sets that meet functional/non-functional business requirements.

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and modern / cloud data technologies.

Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.

Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Work with data and analytics experts to strive for greater functionality in our data systems.

Perform other duties as assigned.

Position Requirements

Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

Knowledge in building modern data pipelines, architectures, and data sets.

Able to perform root cause analysis on data and processes to answer specific business questions and identify opportunities for improvement.

Strong analytic skills related to working with unstructured datasets.

Build processes supporting data transformation, data structures, metadata, dependency, and workload management.

Strong organizational skills.

Experience supporting and working with cross-functional teams in a dynamic environment.

We are looking for a candidate with experience in a Data Engineer or Software Engineer role.

Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.

Preferred

Experience using the following software/tools: Tableau/ Apache Superset/ Streamlit/ Kibana etc.

Experience with modern data tools: Spark, Kafka, etc.

Experience with relational SQL and NoSQL databases, including Postgres / Solr / Doris/ Elastic (ES) / Mongo.

Experience with data pipeline and workflow management tools: Airflow

Experience with cloud services: EC2, EMR, RDS, Redshift, Kubernetes.

Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.

Responsibilities

  • Create and maintain optimal data pipeline architecture
  • Assemble large, complex data sets that meet functional/non-functional business requirements
  • Build the infrastructure required for optimal extraction, transformation, and loading of data
  • Keep data separated and secure across national boundaries
  • Create data tools for analytics and data scientist team members
  • Work with data and analytics experts to improve data systems
  • Perform other duties as assigned

Qualifications

  • Working SQL knowledge and experience with relational databases
  • Knowledge in building modern data pipelines and architectures
  • Able to perform root cause analysis on data and processes
  • Strong analytic skills related to unstructured datasets
  • Build processes supporting data transformation and workload management
  • Strong organizational skills
  • Experience supporting cross-functional teams

Skills mentioned

Data EngineeringETLData PipelinesSQLPythonAWSApache SparkApache KafkaApache AirflowKubernetes

About Credit One Bank

For more than 40 years, Credit One Bank has been a catalyst empowering people on their credit journey. Because we believe having the credit and rewards for the little moments today can lead to even bigger moments tomorrow. That’s why we offer a full spectrum of credit card products including cash back and points-based cards as well as high-yield certificate of deposit and savings accounts. Our culture of Excellence, Ownership, Integrity, and Collaboration drive our everyday interactions. As an employee of Credit One Bank, we'll challenge you to be your best and support you as you work toward reaching your full potential. Because when we work Together As One in the workplace and in the community—we all thrive.

Financial Services1,001-5,000 employeesLas Vegas, NV

H-1B sponsorship history

Historical employer filing data was found for Credit One Bank. The employer record includes 457 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.