Staff Data Engineer – Payments & Commerce at Bolt
Remote, Oregon, USA -
Full Time


Start Date

Immediate

Expiry Date

14 Oct, 25

Salary

0.0

Posted On

16 Jul, 25

Experience

8 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Bolt is on a mission to democratize commerce. We relentlessly prioritize our retailers—putting their brands front and center while enabling frictionless shopping at any touchpoint in the customer journey. At the center of it all is our rapidly growing universal shopper network—Bolt merchants such as Revolve, Lily Pulitzer, Kendra Scott, Lucky Brand Jeans, and Jonny Was can access tens of millions of shoppers, offering them a best-in-class checkout.
And revolutionizing ecommerce is only half of the equation—we’re also transforming the way we work. At Bolt, we have created a work environment where people learn to drive impact, take risks and make big bets, and grow from feedback, all while feeling welcomed and accepted for who they are. Come join us on the adventure today!

ABOUT US

We’re building the data foundation for the future of commerce and finance. Our platform helps merchants access real-time insights, manage financial risk, and optimize revenue using cutting-edge data infrastructure.

Responsibilities

ABOUT THE ROLE

As a Staff Data Engineer, you’ll architect and scale our data infrastructure to support mission-critical financial and commerce use cases. You’ll enable robust analytics, operational workflows, and ML integrations that power smarter products and decisions.

WHAT YOU’LL DO

  • Design and build scalable, secure, and high-throughput data pipelines supporting payments, risk, reconciliation, and user behavior tracking.
  • Implement data models and systems for financial reporting, ledger reconciliation, fraud detection, and business analytics.
  • Collaborate closely with product, engineering, and data science teams to enable data-powered features and experimentation.
  • Ensure compliance with financial and regulatory data handling standards (e.g., SOC 2, PCI).
  • Champion data quality, lineage, and governance across the company.
  • Optimize real-time and batch data architectures for performance and reliability.
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