At CertifID, we’re on a mission to protect life’s largest transactions from fraud. We help title companies, law firms, lenders, and consumers safeguard billions of dollars from wire fraud daily. As we scale, we’re building a team of growth-minded individuals passionate about protecting our customers and transforming the way sensitive data is secured.
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.
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.
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
We value diversity, equity and inclusion in everything we do. It is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, marital status, veteran status, age, disability, pregnancy, sex, sexual orientation, gender identity or any other legally protected category.
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