Finance Data Engineer

at  US Bank National Association

Tempe, AZ 85283, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate02 May, 2025Not Specified03 Feb, 20256 year(s) or aboveCloud,Apache Kafka,Data Security,Scala,Sql,Oracle,Programming Languages,Amazon Redshift,Python,Compliance RegulationsNoNo
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Description:

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

JOB DESCRIPTION

Responsible for working on big data/analytics projects that gather and integrate large volumes of data, performs analysis, interprets results and develops actionable insights and recommendations for use across the company. Acquires data from multiple data sources in order to perform analysis. Identifies, analyzes and interprets trends or patterns in complex data in order to provide answers to business questions as well as provide recommendations for action. Interprets data and analyze results using various statistical techniques and tools.
This role is crucial in helping finance organizations make data-driven decisions, ensure regulatory compliance, and improve operational efficiency.

BASIC QUALIFICATIONS

  • Bachelor’s degree in a related field, or equivalent work experience
  • Six to eight years of statistical and/or data analytics experience

PREFERRED SKILLS/EXPERIENCE

  • Proficiency in programming languages like Python, SQL, or Scala.
  • Strong experience with On-Prem and Cloud data warehouse solutions (e.g., Snowflake, Amazon Redshift, RDS, Oracle, MS SQL).
  • Familiarity with data pipeline tools (e.g., Apache Kafka, Airflow, ETL frameworks).
  • Knowledge of cloud technologies (e.g., AWS, Azure, Google Cloud).
  • Strong understanding of data security and compliance regulations.
    If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Responsibilities:

ESSENTIAL FUNCTIONS

Data Integration and Management:

  • Develop and maintain data pipelines to ingest, process, and store financial data from various sources (internal and external).
  • Integrate structured and unstructured data from multiple systems such as accounting software, trading platforms, financial databases, and market feeds.

Database Design and Optimization:

  • Build and optimize relational and non-relational databases (e.g., SQL, NoSQL) to store financial data.
  • Ensure efficient querying and retrieval of financial data to support reporting and analytics.

Data Quality and Governance:

  • Implement data quality checks to ensure data accuracy, consistency, and completeness.
  • Establish and enforce data governance policies to ensure compliance with financial regulations and standards (e.g., GDPR, SOX).

Collaboration with Stakeholders:

  • Work with data scientists, financial analysts, and business intelligence teams to understand data needs and ensure data is accessible and usable for analysis.
  • Collaborate with software engineers and IT teams to ensure seamless integration with other business systems.

Automation and Optimization:

  • Automate repetitive data processing tasks to improve operational efficiency.
  • Continuously monitor and improve the performance of data pipelines and systems to handle large volumes of financial data.

Reporting and Analytics Support:

  • Provide financial data to support the generation of reports, dashboards, and other visualizations.
  • Work with finance teams to ensure the data is structured for effective analysis and decision-making.

Security and Compliance:

  • Ensure that all financial data is stored securely, adhering to relevant security and privacy standards.
  • Monitor and implement appropriate access controls to sensitive financial information.

Troubleshooting and Support:

  • Troubleshoot issues related to data pipelines, databases, and data integrity.
  • Provide support for resolving data-related issues in financial applications or reporting systems.

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That’s why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):

  • 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 la


REQUIREMENT SUMMARY

Min:6.0Max:8.0 year(s)

Financial Services

IT Software - DBA / Datawarehousing

Software Engineering

Graduate

Proficient

1

Tempe, AZ 85283, USA