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.
What You Will Do
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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.
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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.
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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.
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Champion data quality and governance, ensuring insights are consistent, trustworthy, and well-documented across the organization.
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Take full ownership of billing data infrastructure, including backend warehouse tables, data models, and ongoing maintenance.
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Build dashboards and analytics that deliver actionable insights for executive leadership, GTM, product, and finance teams.
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Share knowledge and support the growth of peers through code reviews, documentation, and informal mentorship.
What You Will Bring
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5+ years of experience in data engineering or analytics engineering, ideally supporting GTM or business functions in a fast-paced environment.
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Proven ability to manage data integrations across platforms such as Salesforce, HubSpot, Amplitude, Sigma, Clay, and similar tools.
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Expertise in Python with strong SQL skills and experience building with a modern data stack (BigQuery, dbt, Fivetran, Airflow).
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Familiarity with credit or financial data and the regulatory considerations that come with handling sensitive information.
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Hands-on experience with AWS or GCP, containerization (Docker, Kubernetes), and CI/CD pipelines.
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Experience building and maintaining scalable data visualization solutions (Sigma, Looker, Tableau).
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Strong communication and stakeholder management skills, with the ability to partner effectively with executives and non-technical teams.
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A bias toward action, comfort working in ambiguity, and a strong sense of ownership — you find answers rather than wait for direction.
Bonus Points
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Experience in fintech, cybersecurity, or fraud prevention.
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Familiarity with data privacy regulations (e.g., SOC 2, GDPR, CCPA).
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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
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
