Senior Data Engineer

CertifID is a company dedicated to enhancing security and fighting fraud in the real estate sector. As a Senior Data Engineer, you will own the systems that turn raw data into trusted insights, collaborating with various teams to ensure the data platform scales with the business and supports decision-making.

Responsibilities:

• 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
• You take ownership and accountability for outcomes, not just implementations
• You care deeply about data correctness, clarity, and trust
• You enjoy collaborating cross-functionally and explaining complex concepts in plain language
• You're energized by building systems from imperfect inputs and evolving them as the business grows