Data Engineer • Mid-Level

Who you are

You have a strong background in data engineering, with experience in building and maintaining data workflows that support business insights. Your expertise in SQL and Python allows you to create robust data pipelines that ensure data integrity and accessibility across teams. You thrive in collaborative environments, working closely with engineers, product managers, and data analysts to drive data-driven decision-making.

You are motivated by the impact your work has on consumers and customers, and you take pride in leaving things better than you found them. You understand the importance of scaling data systems while maintaining correct and complete data, and you are eager to learn best practices from a strong data engineering team.

Desirable

Experience with tools like dbt, Airflow, and Redshift is a plus, as is familiarity with Elasticsearch. You are comfortable exploring new technologies and methodologies to enhance data workflows and improve data accessibility for various teams.

What you'll do

In this role, you will be responsible for building and maintaining data pipelines that power Plaid's business insights. You will collaborate with cross-functional teams to define workflows and ensure that data is accurate and readily available for analysis. Your work will directly enable business leaders to make faster and more informed decisions based on the datasets you create.

You will have the opportunity to carve out ownership of internal datasets and visualizations, establishing service level agreements (SLAs) to ensure data quality and reliability. As part of a high-impact team, you will contribute to Plaid's data strategy and foster a data-first mindset across the organization.

You will engage in continuous learning and development, leveraging the expertise of your colleagues to enhance your technical skills and contribute to the overall success of the data engineering team. Your role will involve not only technical execution but also mentoring and guiding other team members in best practices for data engineering.

What we offer

Plaid offers a collaborative and empowering work environment where you can grow your skills and make a significant impact. You will have access to resources and support to help you succeed in your role. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our team.

Join us at Plaid, where you will play a crucial role in shaping our data landscape and driving insights that benefit our customers and consumers alike.