Senior Data Engineer

CertifID•Grand Rapids, MI

About The Position

Cybercrime is rising, reaching record highs in 2024. According to the FBI's IC3 report total losses exceeded $16 billion. With investment fraud and BEC scams at the forefront, the message is clear: the real estate sector remains a lucrative target for cybercriminals. At CertifID, we take this threat seriously and provide a secure platform that verifies the identities of parties involved in transactions, authenticates wire transfer instructions, and detects potential fraud attempts. Our technology is designed to mitigate risks and ensure that every transaction is conducted with confidence and peace of mind. We know we couldn’t take on this challenge without our incredible team. We have been recognized as one of the Best Startups to Work for in Austin, made the Inc. 5000 list , and won Best Culture by Purpose Jobs two years in a row. We are guided by our core values and our vision of a world without wire fraud. We offer a dynamic work environment where you can contribute to meaningful impact and be part of a team dedicated to enhancing security and fighting fraud. As a Senior Data Engineer, you’ll own the systems that turn raw data into trusted insights across the company. You’ll partner closely with Product, Finance, Sales, and Customer Success to ensure our data platform scales with the business and directly supports decision-making.

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

Nice To Haves

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

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