Data Engineer

About Knot

Knot’s mission is to empower consumers and businesses alike with connected merchant and banking experiences. Knot is like “Plaid for merchant connectivity.” We are building the platform connecting merchants to the many applications that consumers and businesses interact with everyday. Our flagship CardSwitcher product allows consumers to instantly update & manage their cards on file with online merchant accounts (e.g. Netflix or PayPal), while newer products like TransactionLink support the retrieval of receipt-level transaction data and AgenticShopping enables 1-click, native shopping experiences.

Founded in 2021, Knot was founded by two brothers and Thiel Fellows - Rory and Kieran O’Reilly - and today powers connected online payment experiences for hundreds of thousands of consumers. Companies like American Express, PayPal, Current, BILT, Step, and more choose to embed Knot’s SDK in their apps to power best-in-class experiences for their customers.

Knot is proudly backed by a select group of investors, including Nava Ventures, 8VC, American Express, Plaid, and co-founders & CEOs of prominent companies like Twitter, Warby Parker, Allbirds, Casper, Intercom, Deel, Italic, DraftKings, and many more.

Working at Knot
We’re a world-class team hailing from all over the globe with the vast majority of the company in engineering roles. We are looking to further solidify our presence in NYC to be at the heart of the financial services ecosystem.

Our team is relentlessly focused on building for our customers and every member of the financial services ecosystem. We take our work seriously and have fun while doing it. Both are equally important.
What you’ll do

• Design, build, and maintain a modern data warehouse (BigQuery)

• Define and implement data models, schemas, and transformations that support scalable analytics.

• Build and maintain robust ETL/ELT pipelines to ingest data from databases, third-party APIs, and external data sources.

• Manage batch and real-time data processing workflows.

• Collaborate with product engineers to build data-driven features and user-facing functionality powered by analytics and aggregated data.

• Design data pipelines and models that support experimentation, personalization, scoring, or insight-driven product features.

• Ensure production systems can safely and efficiently consume analytical data.

• Implement data quality checks, lineage, and monitoring to ensure trust in data.

• Enforce data governance, access controls, and security best practices.

• Document data models, pipelines, and architectural decisions.

What you’ll need

• Proven experience as a Data Engineer, ideally within a startup environment

• Strong SQL skills and experience designing analytics-focused data models.

• Hands-on experience with cloud data warehouses (BigQuery).

• Experience building and maintaining ETL/ELT pipelines using tools such as Airflow, dbt, Fivetran, or custom frameworks.

• Proficiency in at least one programming language (Python).

• Solid understanding of data architecture, performance optimization, and data quality practices.

What we offer

• Interesting and challenging work

• Competitive base salary (commensurate with experience) + up to 20% annual bonus + generous early employee equity

• 100% medical, dental, and vision insurance coverage for you and your dependents (U.S.)

• Unlimited PTO

• Parental leave

• Beautiful NYC office in the heart of Flatiron

• Herman Miller Aeron Desk Chair

• Food (snacks, frequent lunches, and often dinner for those working late)