Data Engineer • Senior

Who you are

5+ years of experience in data engineering — you've built and maintained data pipelines that support analytics and business intelligence needs. You have a strong understanding of data modeling and ETL processes, ensuring data quality and integrity across systems.

Proficiency in SQL and Python is essential — you've used these languages to manipulate and analyze large datasets, and you're comfortable writing complex queries to extract insights. Your experience with data orchestration tools like Airflow and dbt allows you to automate workflows effectively.

You have hands-on experience with cloud data warehouses such as Redshift — you've optimized data storage and retrieval processes to enhance performance. Familiarity with Elasticsearch is a plus, as you understand how to implement search capabilities within data applications.

You thrive in collaborative environments — working closely with cross-functional teams, including engineering, product, and business stakeholders, to understand their data needs and provide actionable insights. Your communication skills enable you to convey complex technical concepts to non-technical audiences.

Desirable

Experience with data visualization tools and frameworks is a plus — you can help teams interpret data through dashboards and reports. Familiarity with data governance practices will help you ensure compliance and data security.

What you'll do

As a Senior Data Engineer at Plaid, you'll be responsible for designing and implementing scalable data pipelines that support our business goals. You'll collaborate with various teams to understand their data requirements and provide the necessary tooling and guidance to explore data effectively.

Your role will involve building robust golden datasets that power insights-driven products — you'll ensure that data is accurate, complete, and accessible to stakeholders across the organization. You'll leverage your expertise in SQL and Python to develop workflows that streamline data processing and analysis.

You'll also work with tools like dbt and Airflow to orchestrate data pipelines, ensuring that data flows seamlessly from source to destination. Your contributions will help Plaid maintain its commitment to data-driven decision-making, ultimately enhancing the services we provide to our customers.

What we offer

Plaid offers a hybrid work environment, allowing you to balance in-office collaboration with remote flexibility. You'll have the opportunity to work with a talented team of data engineers and learn best practices in data engineering and analytics.

We believe in empowering our employees to grow their technical skills and advance their careers. You'll have access to professional development resources and opportunities to take on new challenges within the organization.

Join us in transforming the way people interact with their finances — your work will directly impact the tools and experiences that millions of users rely on every day. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.