GCP Lead Software Engineer

Wells Fargo

Closes tomorrow

Quick summary

Work type: On-site
Location: Chandler, AZIrving, TXCharlotte, NC
Posted: 4 days ago
Closes: Jun 16, 2026 (soon)
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $183k

$146k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $155,000–$211,200.

Based on 240 similar postings.

Employer

About Wells Fargo

Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services

Wells Fargo currently has 87 open roles on FindRole.

Listed pay typically runs $144,009–$224,000 across 46 roles with salary data.

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At a glance

TL;DR · GCP Lead Software Engineer

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Wells Fargo is seeking a Lead Software Engineer to join its CTR team as a senior-level contributor, focusing on the design and optimization of scalable data platforms using Apache Spark and other cutting-edge technologies. This role involves leading the development and maintenance of ETL/ELT pipelines, automating workflows for data ingestion, transformation, and loading, while ensuring robust observability and performance monitoring. The engineer will integrate data from multiple sources into data lakes or warehouses, implement data quality checks, and optimize workflows for scalability and efficiency. Required qualifications include extensive experience with Google Cloud Platform (GCP) tools such as Cloud Dataflow, BigQuery, and Cloud Composer, along with strong development skills in SQL and Python. Additional desired skills encompass proficiency with PySpark, Pandas, and Polars, as well as familiarity with data lakehouse patterns using Apache Iceberg. This position addresses complex operational challenges through close collaboration with business stakeholders to deliver impactful solutions at scale.

Skills

Google Cloud Platform Cloud Dataflow Cloud Dataproc Cloud Composer BigQuery Cloud Storage Pub/Sub Python SQL Grafana Data Fusion Dataplex Dataprep Cloud Monitoring Apache Iceberg PySpark Pandas Polars Jira Confluence Jupyter

What you'll do

Design and maintain ETL/ELT pipelines to automate data ingestion, transformation, and loading.
Integrate diverse data sources into data lakes or warehouses with optimal storage strategies.
Cleanse and normalize raw data for analytics, implementing robust data quality checks.
Monitor and optimize data workflows for scalability and efficiency on Google Cloud Platform.
Oversee workflow orchestration using Cloud Composer to ensure efficient team collaboration.

What we're looking for

5+ years of experience building data pipelines on Google Cloud Platform (GCP)
Strong proficiency in SQL and Python for data engineering tasks
5+ years of experience with workflow orchestration using GCP-native tools
Solid understanding of ETL/ELT processes and data governance best practices
Experience with monitoring and observability using GCP or equivalent tools

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