Lead Data Engineer - Gcp Platform Services & Frameworks

Wells Fargo

Base: $119,000.00 - $224,000.00; bonus/equity: inc...
Not specified
5+ years data engineering experience
4+ years cloud composer airflow orchestration
4+ years python spark pipeline development
Wells Fargo is seeking a Lead Data Engineer to design and implement GCP-based data solutions supporting various operational functions. The ideal candidate should possess extensive experience in data engineering, particularly with GCP services, orchestration tools, and advanced SQL

Job Summary

  • The role focuses on modernizing technology platforms to support operations, control executives, and strategic execution within the COO Technology group.
  • Candidates will lead the design of secure, scalable data platforms on Google Cloud using managed services like BigQuery, Dataflow, and Dataproc.
  • Wells Fargo offers a comprehensive benefits package including health benefits, 401(k) Plan, paid time off, and tuition reimbursement.

Matching Summary

Match Score: 85

Wells Fargo is seeking a Lead Data Engineer to design and implement GCP-based data solutions supporting various operational functions. The ideal candidate should possess extensive experience in data engineering, particularly with GCP services, orchestration tools, and advanced SQL.

Salary

Base: $119,000.00 - $224,000.00; Bonus/Equity: Incentive opportunities eligible; Benefits: Comprehensive set including health, 401(k), and parental leave

Skills & Requirements

Must-have

  • 5+ years Data Engineering experience
  • 4+ years Cloud Composer Airflow orchestration
  • 4+ years Python Spark pipeline development
  • 4+ years advanced SQL data modeling
  • 4+ years automated testing data quality monitoring
  • 3+ years core GCP services BigQuery Dataflow

Nice-to-have

  • Experience with knowledge graphs and semantic search
  • Strong communication skills across technical audiences
  • Advanced Data Modeling in tabular and MPP models
  • Hands-on experience with Starburst or Trino
  • Collaborative mindset partnering across business teams
  • Experience in large financial services organizations

Key Requirements

  • 5+ years Data Engineering experience
  • 4+ years orchestration tools Cloud Composer/Airflow
  • 4+ years Python and Spark experience
  • 4+ years advanced SQL and data modeling
  • Bachelor's degree preferred but not required

Work Rights

Not specified

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