Data Engineer

🔥 33 minutes ago

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CertifID

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2017

💳 Fintech

🏠 Real Estate

🔒 Cybersecurity

💰 $12.5M Series A on 2022-05

Fintech • Real Estate • Cybersecurity

CertifID is a technology company that specializes in protecting against wire fraud, particularly in real estate transactions. Their platform offers solutions for verifying identities and validating bank details, protecting real estate agents, law firms, title agents, and home buyers/sellers from fraud. With services like fraud recovery and wire fraud insurance, CertifID ensures transactions are secure. The company partners with title companies and law firms to enhance the standard of care for clients, providing a robust insurance coverage to protect client funds. CertifID is highly rated for wire fraud protection, with user-friendly software that quickly and effectively prevents fraudulent transactions.

📋 Description

• 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.

🎯 Requirements

• 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 • 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