Lead Software Engineer - Datawarehouse in Tempe, Arizona

U.S. Bancorp

Tempe, AZ

Full Time

Senior

149k-187k

27 days ago

Job Description

About the Role

U.S. Bank is seeking a Lead Software Engineer - Datawarehouse in Tempe, Arizona. The role involves designing, developing, and maintaining scalable data solutions, including data pipelines, metadata systems, and data warehouses using cloud technologies. The position offers opportunities to work cross-functionally, mentor other engineers, and contribute to analytics and machine learning applications, with potential for remote work within commuting distance.

Key Responsibilities

Design, develop, and maintain a scalable Datawarehouse, metadata system, and build data pipelines for SMB data using cloud technologies.
Build and maintain real-time and batch data pipelines.
Integrate multiple data sources to enhance Business Intelligence and decision making capabilities.
Build reusable data frameworks and services that adhere to industry standards.
Lead migrations, optimize data analysis, and enable Machine Learning applications.
Collaborate cross-functionally with engineering and product teams to develop long-term solutions that improve analytics and customer experience.
Mentor other engineers by providing guidance on development best practices, reviewing code, and fostering a collaborative development environment.

Requirements

Requires at least a Bachelor's degree in Data Science or Computer Science.
Five (5) years of progressive post-baccalaureate experience as a Data Engineer, Software Engineer, or related.
Experience designing and deploying automated data pipelines and ETL solutions using AWS or Google Cloud platform.
Developing Tableau dashboards to visualize metrics for stakeholders.
Automating data pipelines with Kafka, Hadoop, Hive, and Apache Spark.
Implementing cloud-based ETL solutions using Airflow.
Integrating data from structured and unstructured systems like Mainframe, Relational databases, Parquet, and flat-files.
Scripting in Python, SQL, and running ML pipelines using Jupyter Notebook.

Qualifications

Educational background in Data Science or Computer Science
Experience with cloud data pipelines and ETL solutions
Proficiency in data visualization and scripting languages

Benefits & Perks

Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per year

Working at U.S. Bancorp

U.S. Bank emphasizes a culture of diversity, inclusion, and support for its employees' whole selves. The company values collaboration, continuous learning, and providing opportunities for growth and development. They are committed to equal opportunity employment and accommodating applicants with disabilities.

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