Senior Data Engineer

🕒 April 7

🚗 Michigan, Texas – Remote

🚗 Michigan – Remote 🤠 Texas – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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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, build, and maintain trusted, scalable data models that power reporting, analytics, and product insights • Own the evolution of our data platform, unifying analytics tooling and fully replacing legacy admin and ad-hoc reporting • Develop and maintain robust ELT pipelines, transformations, and data stores that serve as the source of truth for billing, revenue, usage, and customer success workflows • Apply strong data modeling and warehousing principles to create analytics-optimized tables that are well-documented and easy to use • Partner with stakeholders to understand business questions, translate them into data models, and educate teams on how to operationalize analytics effectively • Proactively identify opportunities to improve reporting or data reliability and build proof-of-concepts to validate solutions with the business • Write high-quality, secure, maintainable, and testable production code, following best practices and thoughtful tradeoffs • Contribute to a culture of craftsmanship through code reviews, documentation, and continuous improvement • Balance speed and quality, delivering quickly while building systems that scale with the company • Adapt to a wide range of challenges, learning new tools and skills as needed in a fast-moving environment

🎯 Requirements

• 3+ years of professional experience in data engineering, analytics engineering, business intelligence, or a closely related role • Strong SQL skills and hands-on experience with data modeling for analytics use cases • Experience building and maintaining production data pipelines, transformations, and warehouses in a cloud-based environment • Comfort working with self-service BI and analytics tools, enabling non-technical stakeholders to answer their own questions • A hybrid mindset: you can think like a software engineer while deeply understanding analytical and business requirements • Experience supporting SaaS metrics such as revenue, usage, billing, or customer health reporting • Strong understanding of data warehousing concepts (fact/dimension modeling, performance optimization, data quality) • Proven ability to deliver quickly without compromising technical quality

🏖️ Benefits

• Flexible vacation • 12 company-paid holidays • 10 paid sick days • No work on your birthday • Health, dental, and vision Insurance (including a $0 option) • 401(k) with matching, and no waiting period • Equity • Life insurance • Generous parental paid leave • Wellness reimbursement of $300/year • Remote worker reimbursement of $300/year • Professional development reimbursement • Competitive pay • An award-winning culture