Data Engineer

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.

• 4+ years of hands-on experience in Data Engineering, Software Engineering, or a related field.
• Strong proficiency in SQL and experience with complex query optimization and performance tuning.
• Strong programming skills in Python and/or Java.
• Experience designing and building scalable data pipelines in cloud environments.
• Experience with workflow orchestration tools such as Apache Airflow.
• Hands-on experience with distributed data processing technologies such as Spark.
• Experience working with both relational and NoSQL databases.
• Strong understanding of data modeling, dimensional modeling, and warehouse design principles.
• Experience with version control systems such as Git and CI/CD practices.
• Excellent analytical, problem-solving, and communication skills.

Preferred

• Experience using the following software/tools: Tableau/ Apache Superset/ Streamlit/ Kibana etc.
• Experience with modern data tools: Spark, Kafka, etc.
• Experience supporting machine learning and AI use cases through scalable data infrastructure.
• 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.