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!
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.
About the RoleAs 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 DoDesign 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.
8+ years of experience in data engineering, with deep understanding of distributed systems, data modeling, and ETL/ELT processes.
Expertise in modern data platforms (e.g., Spark, Kafka, Airflow, Snowflake, BigQuery).
Experience working in financial systems or with sensitive payment data.
Strong SQL, Python, and data pipeline development skills.
Familiarity with event-driven architecture and real-time analytics.
Knowledge of ledger systems, reconciliation logic, or fraud detection pipelines.
Experience supporting ML workflows and data observability platforms.
Background in fintech or commerce analytics at scale.
Benefits:
- Comprehensive health coverage: Medical, dental and vision
- Remote-first workplace
- Time away: Minimum of 20 days guaranteed PTO, paid holidays + floating holidays, your birthday off!
- Paid parental leave
- Competitive Pay
- Retirement plans
- Virtual and in-person team & company events
In addition to our core values, Bolt is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity and expression, genetic information, pregnancy and related conditions, veteran status or any other reason prohibited by law. On our mission to democratize commerce, the Bolt platform levels the playing field for everyone. As a company, we are committed to designing products, building a culture, and supporting a team that reflects the diverse population we serve (that is, everyone).
Top Skills
Similar Jobs
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
