Data Engineer

Role Description

We’re seeking a talented and driven Data Engineer to help us elevate our data platform. This is a high-impact role where you’ll contribute to the design and development of scalable data infrastructure, support data-driven decision-making, and play a key role in shaping the future of fraud prevention. You’ll work alongside experienced engineers and cross-functional teams in a fast-paced environment with plenty of growth opportunities.

• Design, implement, and maintain ETL/ELT pipelines that pull and merge data from multiple internal and external systems, ensuring clean, reliable, and scalable data flows across the organization.
• Own the data warehouse architecture, including partitioning strategy, access controls, and security, in partnership with Security and Infrastructure teams to meet compliance and performance requirements.
• Partner with data science, engineering, Revenue Operations, and executive stakeholders to define and track KPIs, translating complex requirements into reliable data solutions that drive strategic decisions.
• Champion data quality and governance, ensuring insights are consistent, trustworthy, and well-documented across the organization.
• Take full ownership of billing data infrastructure, including backend warehouse tables, data models, and ongoing maintenance.
• Build dashboards and analytics that deliver actionable insights for executive leadership, GTM, product, and finance teams.
• Share knowledge and support the growth of peers through code reviews, documentation, and informal mentorship.

Qualifications

• 5+ years of experience in data engineering or analytics engineering, ideally supporting GTM or business functions in a fast-paced environment.
• Proven ability to manage data integrations across platforms such as Salesforce, HubSpot, Amplitude, Sigma, Clay, and similar tools.
• Expertise in Python with strong SQL skills and experience building with a modern data stack (BigQuery, dbt, Fivetran, Airflow).
• Familiarity with credit or financial data and the regulatory considerations that come with handling sensitive information.
• Hands-on experience with AWS or GCP, containerization (Docker, Kubernetes), and CI/CD pipelines.
• Experience building and maintaining scalable data visualization solutions (Sigma, Looker, Tableau).
• Strong communication and stakeholder management skills, with the ability to partner effectively with executives and non-technical teams.
• A bias toward action, comfort working in ambiguity, and a strong sense of ownership — you find answers rather than wait for direction.

Bonus Points

• Experience in fintech, cybersecurity, or fraud prevention.
• Familiarity with data privacy regulations (e.g., SOC 2, GDPR, CCPA).
• Contributions to open-source data tools or communities.

Benefits

• Competitive salaries
• Excellent medical, dental and vision benefits
• Participation in the employee stock option program
• Flexible Time Off policy
• 401(k) with a generous company match and no vesting schedule
• 12 company-paid holidays, 10 paid sick days and your birthday off!
• Company-paid life insurance
• Company paid short and long-term disability
• Generous parental paid leave
• Wellness reimbursement of $300/year
• Remote worker reimbursement of $300/year
• Professional development reimbursement