Staff Software Engineer - Data Infrastructure

Plaid is a financial data network and fintech infrastructure company that helps people securely connect financial accounts to digital financial services.

Series D7 current maintainers5 active leads
San Francisco, United States

Funding history

About Plaid Inc.

Plaid provides developer infrastructure and financial tools for account connectivity, financial data access, bank payments, identity verification, AML monitoring, credit and underwriting, and fraud prevention. Its network supports thousands of fintech companies and more than 12,000 financial institutions across the United States, Canada, the United Kingdom, and Europe.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will shape data infrastructure roadmaps and deliver systems for data warehouses, lakehouses, Spark, workflow orchestration, and streaming. You will improve machine-learning development paths and data freshness, reduce operational burden, collaborate across functions, and mentor engineers through technical reviews and guidance.

Requirements

  • 6+ years of software engineering experience
  • Hands-on software engineering experience delivering projects in data infrastructure or platform domains
  • Deep understanding of data warehouses, data lakehouses, Apache Spark, streaming infrastructure, or workflow orchestration
  • Strong cross-functional collaboration and communication skills
  • Project management skills
  • Proficiency in coding, testing, and system design
  • Experience mentoring and guiding junior engineers
  • Experience with Databricks, Airflow, AWS EMR, or Python

Responsibilities

  • Contribute to the long-term roadmap for data-driven and machine-learning iteration
  • Lead data infrastructure projects involving ML development paths, streaming, ETL, warehouses, and lakehouses
  • Define technical roadmaps for backend systems and abstractions with stakeholders
  • Debug and troubleshoot the Data Platform
  • Reduce operational burden
  • Mentor engineers and review technical documents and code changes

Benefits

  • Equity