Plaid Financial LTD. - San Francisco, CA

posted 8 days ago

Full-time - Mid Level
San Francisco, CA

About the position

The Data Engineer position at Plaid focuses on building robust data systems to support the company's goal of creating insights-based products. The role involves collaborating with various teams to enhance data quality and privacy while enabling data-driven decision-making across the organization. The Data Engineer will leverage SQL and Python to develop data workflows and pipelines, ensuring the integrity and usability of datasets that empower business leaders.

Responsibilities

  • Defining the long-term technical roadmap for building a data-driven culture at Plaid.
  • Deeply understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design, and data usage principles.
  • Focusing on data quality and privacy.
  • Leading key data engineering projects that drive collaboration across the company.
  • Mentoring engineers, operations, and data analysts on best practices for data organization and query performance.
  • Advocating for adopting industry tools and practices at the right time.
  • Owning core SQL and Python data pipelines that power our data lake and data warehouse.

Requirements

  • 6+ years of dedicated data engineering experience, solving complex data pipeline issues at scale.
  • Proficiency in SQL and modern SQL data orchestration tools like DBT, Mode, and Airflow.
  • Experience with real-time systems like Kinesis, Kafka, Flink, and batch data pipelines in Redshift, Presto, and Data Lakes.
  • Strong understanding of schema design and the ability to evolve analytics schemas on unstructured data.
  • Ability to manage, deploy, and improve low-level data infrastructure.

Nice-to-haves

  • Experience producing proof-of-concepts that balance technical advancement and user experience.
  • Empathy in working with stakeholders and collaboratively finding solutions.

Benefits

  • Comprehensive medical, dental, and vision insurance
  • 401(k) plan
  • Equity and/or commission opportunities based on position
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