Senior Data Engineer

Wells Fargo•Irving, TX

1d•Hybrid

About The Position

We are seeking a Senior Software Engineer - GCP Data Engineer to design, build, and optimize enterprise data products and data pipelines on Google Cloud Platform (GCP). This role focuses on developing scalable, high-quality data solutions that support analytics, operational reporting, regulatory reporting, and business decision-making. The ideal candidate combines strong software engineering practices with expertise in modern data engineering, data modeling, data quality, and performance optimization.

Requirements

4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
3+ years of hands-on experience developing enterprise data solutions on Google Cloud Platform (GCP).
3 years of experience with Python and SQL
2 years of experience with BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Cloud Composer.
3 years of data warehousing, data modeling, ETL/ELT design, and data transformation principles

Nice To Haves

Google Professional Data Engineer certification.
Experience delivering large-scale enterprise data products and analytical solutions.
Experience supporting Finance, Risk, Regulatory, Banking, or Lending data domains.
Experience with data quality frameworks and data observability practices.
Experience implementing metadata lineage and data governance solutions.
Knowledge of Data Mesh, Data Products, and modern data architecture patterns.
Experience leveraging AI-assisted development tools to improve engineering productivity.
Experience optimizing high-volume datasets supporting multi-terabyte analytical workloads.
Proven ability to improve performance and reduce costs through effective data design, partitioning, clustering, and query optimization.
Experience working within Agile delivery teams.
Strong analytical, problem-solving, and communication skills

Responsibilities

Design, develop, and maintain scalable batch and near real-time data pipelines using GCP technologies.
Build and enhance enterprise data products using BigQuery and other GCP data services.
Develop data transformation logic, business rules, and reusable frameworks using Python and SQL.
Design and optimize data models to support analytical, regulatory, and operational reporting needs.
Implement BigQuery partitioning and clustering strategies to improve query performance and reduce processing costs.
Perform data analysis and profiling to support solution design, root cause analysis, and data quality remediation.
Collaborate with product owners, business analysts, architects, and engineering teams to translate business requirements into technical solutions.
Ensure data quality, governance, lineage, and compliance requirements are incorporated into delivered solutions.
Perform query optimization, performance tuning, and troubleshooting of large-scale data workloads.
Participate in code reviews, technical design discussions, and continuous improvement initiatives.
Mentor junior engineers and contribute to engineering best practices.