Software 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

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.