We9re seeking a talented and driven
Data Engineer to help us elevate our data platform. This is a high-impact role where you9ll 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. You9ll work alongside experienced engineers and cross-functional teams in a fast-paced environment with plenty of growth opportunities.
What You Will Do- 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.
What You Will Bring- 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.
What We Offer- 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
