About This RoleWe'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.
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.
This role is hybrid and can be located in either on of our offices in Austin, Grand Rapids, or Minneapolis.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
- 401k with 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
