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Senior Data Engineer - Data Engineering

PlaidSan Francisco
Hybrid Full-time

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Experience Level

Senior

Qualifications

Proven experience as a Data Engineer or similar role, with a strong background in SQL and Python. Familiarity with data pipeline orchestration tools such as DBT, Airflow, or similar technologies. Experience with data warehousing solutions, preferably Redshift or equivalent. Strong analytical and problem-solving skills, with the ability to work collaboratively across teams. Experience in building and maintaining data visualizations and reporting tools. Excellent communication skills, able to convey complex data concepts to non-technical stakeholders. Passion for data-driven decision making and a proactive approach to identifying opportunities for improvement. Experience with ElasticSearch and Retool is a plus.

About the job

At Plaid, we envision a future where financial interactions are seamless and intuitive. We are committed to driving this evolution by crafting innovative tools and experiences that empower thousands of developers to build their own applications. Our platform supports millions of users in achieving healthier financial lives by connecting their financial accounts with the apps and services they love. Collaborating with industry leaders like Venmo, SoFi, numerous Fortune 500 companies, and major banks, Plaid's extensive network encompasses over 12,000 financial institutions across the United States, Canada, the UK, and Europe. Established in 2013 and headquartered in San Francisco, we also have offices in New York, Washington D. C., London, and Amsterdam. #LI-Hybrid

As a Senior Data Engineer, you will play a pivotal role in our Data Engineering team, which is focused on developing robust golden datasets to enhance our insights-driven product offerings. Data-driven decision-making is at the heart of Plaid's culture, and your expertise will help us scale our data systems while ensuring data accuracy and integrity. You will provide essential tooling and guidance to various teams across engineering, product, and business, enabling them to access and utilize data effectively. Our engineers rely heavily on SQL and Python to create data workflows, employing tools such as DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool for orchestrating data pipelines and defining workflows. Collaborating closely with engineers, product managers, business intelligence, and data analysts, you will contribute to shaping Plaid's data strategy and fostering a data-first mindset. We thrive on an engineering culture that values individual contributions, encouraging bottom-up ideation and empowering our talented team. We seek engineers passionate about making a meaningful impact for our users and customers while growing together as a cohesive team, delivering MVPs, and continuously improving our processes.

In this high-impact position, you will empower business leaders to make faster, more informed decisions based on the datasets you create. You will have the opportunity to define the ownership and scope of internal datasets and visualizations across Plaid, an area we aim to develop further by establishing SLAs. This role presents a unique chance to enhance your technical skills and learn best practices from our strong Data Engineering team and the broader Data Platform team. You will collaborate extensively across all teams at Plaid, from Engineering to Product to Marketing and Finance, forging strong cross-functional partnerships.

About Plaid

Plaid is at the forefront of the financial technology revolution, dedicated to transforming how individuals engage with their finances. Our mission is to empower developers with the tools and experiences they need to create innovative products that enhance people's financial well-being. With a vast network connecting over 12,000 financial institutions across multiple countries, we partner with leading companies to simplify the integration of financial services into everyday applications. Join us as we redefine the future of finance, one product at a time.

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