Lead Data Engineer — Scalable Pipelines & Data Governance

U.S. Bank; Tempe (AZ); Hybrid; USD 119,765 - 140,900; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) and employer-funded retirement plan

Paid vacation

Sick and Safe Leave

Job summary

A financial institution seeks a Lead Data Engineer to develop robust data pipelines, optimize database designs, and ensure data integrity and compliance. The ideal candidate will have at least 7 years of experience managing data, proficiency in Python and SQL, and a strong background in cloud data solutions like Snowflake and AWS. An equal opportunity employer, this role offers a competitive salary range and hybrid work flexibility.

Qualifications

• At least 7 years experience managing and administering data.
• Proficiency in Python, SQL, or Scala.
• Experience with cloud data warehouses.

Responsibilities

• Develop and maintain data pipelines.
• Build and optimize databases for financial data.
• Implement data quality checks.
• Automate data processing tasks.
• Monitor performance of data systems.

Skills

Data integration

Data management

Database design

Data quality assurance

Collaboration

Education

Bachelor's degree or equivalent work experience

Tools

SQL

Python

Scala

Snowflake

AWS

Job description

A financial institution seeks a Lead Data Engineer to develop robust data pipelines, optimize database designs, and ensure data integrity and compliance. The ideal candidate will have at least 7 years of experience managing data, proficiency in Python and SQL, and a strong background in cloud data solutions like Snowflake and AWS. An equal opportunity employer, this role offers a competitive salary range and hybrid work flexibility.