[Hiring] Lead Software Engineer @U.S. Bank National Association

Role Description

U.S. Bank is seeking the position of Lead Software Engineer in Irving, TX.

• The Lead Software Engineer will be responsible for architecting and designing data products for Customer 360 users.
• Partnering with the Product team to understand new analytics needs and design, build data pipelines.
• Coaching team in building data pipelines in Scala Spark as per engineering standards.
• Identifying data classification of a given project and working with BISO to define security strategy of the application and data.
• Building CICD pipelines for Customer 360 Projects using GitLab CI and Jenkins.
• Building data pipelines in On-prem Hadoop platform using Spark (Scala, Python & SQL) based pipelines with Dataframe APIs and Spark-SQL.
• Developing Azure Cloud based data pipelines using Spark on Kubernetes, storing the data in delta tables, and orchestrating them using Airflow or Azure Synapse as a Semantic layer.
• Migrating mainframe application to Azure platforms by leveraging technologies (e.g., COBOL, JCL, VSAM, DB2).
• Implementing data quality checks, monitoring, and alerting mechanisms using Datadog, Splunk, Grafana, InfluxDB, and ServiceNow.
• Building test suites and ensuring coverage is a minimum of 90% while keeping code smells under 5 through SonarQube.
• Performing POCs on Gen-AI implementation such as GitLab co-pilot, RAG, and Agentic AI.
• Position may allow working from home within commuting distance of worksite location.
• Multiple positions available.

Qualifications

• Requires a Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Information Systems, or Electrical and Electronic Engineering.
• Plus 5 years of progressive, post-baccalaureate experience as a Data Engineer, Software Engineer, or related.

Requirements

• Must possess 5 years of experience with architecting and designing data pipelines and applications.
• Building integration between mainframe and Spark/Hadoop ecosystem.
• Creating reusable components to be used in multiple pipelines.
• Developing application health check dashboards and monitors using Datadog, Splunk & Grafana.
• Defining Metadata of a given dataset.
• Building CICD pipelines for TLRC projects using Jenkins/Drone.
• Implementing data quality checks and processes for every pipeline.
• Performing code reviews on pull requests.
• Implementing data quality monitors and creating automated alerts on ServiceNow.
• Performance tuning on Spark data pipelines.
• Utilizing the following tools and technologies: Spark, Scala, Python, ADLS Gen2, ADF, Delta-tables, Databricks, Synapse (Dedicated/Serverless), HiveQL, SparkSQL, Hadoop MapReduce, HDFS, GIT, Airflow, Jira, Sqoop, Postgres, Shell Script, InfluxDB, DataDog, Splunk, SonarQube, Grafana, Gen-AI, Agentic AI, RAG, COBOL, JCL, DB2, and VSAM.
• Experience may be gained concurrently.
• Position may allow working from home within commuting distance of worksite location.
• U.S. Bank is subject to and conducts background checks consistent with the regulatory requirements applicable to our industry and operations.

Benefits

• 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 calendar year unless otherwise provided by law