SDET / Test Engineering Lead
Wells Fargo22 hours ago
Irving, TX, USAStaff+
Responsibilities
- Lead quality engineering strategy and governance for enterprise data platforms and data pipelines.
- Define automated testing frameworks for batch, streaming, event-driven, ingestion, transformation, conformance, curated, and reporting workflows.
- Develop automated validation solutions for BigQuery, GCS, Dataproc, Spark, Cloud Composer, Pub/Sub, and related GCP services.
- Implement data quality testing for completeness, accuracy, consistency, timeliness, uniqueness, and reconciliation.
- Lead test planning, execution, defect triage, release certification, performance testing, scalability testing, and resiliency testing.
- Establish CI/CD-integrated automated testing, quality gates, metrics, coverage tracking, and release-readiness KPIs.
- Partner with engineering, architecture, product, data, and business teams to make data requirements testable and measurable.
- Ensure compliance with regulatory, audit, governance, and data lineage requirements.
- Mentor QA engineers, SDETs, and data testers while promoting an automation-first culture.
- Collaborate with production support teams to identify root causes and implement preventative data quality controls.
Requirements
- At least 5 years of Software Engineering experience or equivalent demonstrated through work experience, training, military experience, or education.
- At least 5 years of experience in Quality Engineering, Data Testing, or Test Automation.
- At least 5 years of experience leading QA teams or test strategy initiatives.
- At least 5 years of experience testing ETL/ELT pipelines, data warehouses, data lakes, and big data platforms.
- At least 5 years of experience validating large-scale datasets using BigQuery, Teradata, Oracle, SQL Server, or similar platforms.
- At least 5 years of test automation experience using Python and/or Java.
- At least 2 years of experience validating Apache Spark and distributed data processing.
- Experience integrating automated testing into CI/CD pipelines and building data validation and regression frameworks.
- Knowledge of data quality methodologies, SQL-based validation, reconciliation testing, Agile, DevOps, and shift-left practices.
- Experience testing cloud-native GCP data platforms, streaming pipelines, event-based architectures, or large-scale processing workloads.
- Knowledge of Apache Iceberg, lakehouse architectures, BigQuery external tables, metadata management, data lineage, and data governance.
- Experience with containerized workloads, Kubernetes, audit and regulatory validation, and performance or volume testing.
- Experience in regulatory reporting, financial crimes, AML, Fraud, KYC, or compliance domains is desirable.
- Strong stakeholder management, communication, and leadership experience managing offshore or onshore QA teams is desirable.
Benefits
- Hybrid work schedule.
- Position based at the Irving, Texas location, with on-site work required.
- Relocation assistance is not available.
- This position is not eligible for visa sponsorship.
Tech Stack
Apache SparkGoogle BigQueryGoogle CloudGoogle Cloud PlatformJavaKubernetesMicrosoft SQL ServerPythonSQL
Categories
About Wells Fargo
Wells Fargo & Company is a U.S.-based financial services firm providing consumer and commercial banking, mortgages, credit, and wealth/investment services to individuals, small businesses, and enterprises. It earns revenue from interest income and fees across retail banking, payments, lending, and capital markets. Founded in 1852 and headquartered in San Francisco, it is publicly traded on the NYSE (WFC) and operates nationally with offices in multiple countries.