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Company OverviewCybercrime is rising, reaching record highs in 2024. According to the FBI's IC3 report total losses exceeded $16 billion. At CertifID, we 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’ve 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.About the RoleAs 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.What You'll DoDesign, build, and maintain trusted, scalable data models that power reporting, analytics, and product insightsOwn the evolution of our data platform, unifying analytics tooling and fully replacing legacy admin and ad-hoc reportingDevelop and maintain robust ELT pipelines, transformations, and data stores that serve as the source of truth for billing, revenue, usage, and customer success workflowsApply strong data modeling and warehousing principles to create analytics-optimized tables that are well-documented and easy to usePartner with stakeholders to understand business questions, translate them into data models, and educate teams on how to operationalize analytics effectivelyProactively identify opportunities to improve reporting or data reliability and build proof-of-concepts to validate solutions with the businessWrite high-quality, secure, maintainable, and testable production code, following best practices and thoughtful tradeoffsContribute to a culture of craftsmanship through code reviews, documentation, and continuous improvementBalance speed and quality, delivering quickly while building systems that scale with the companyAdapt to a wide range of challenges, learning new tools and skills as needed in a fast-moving environmentWhat We're Looking For3+ years of professional experience in data engineering, analytics engineering, business intelligence, or a closely related roleStrong SQL skills and hands-on experience with data modeling for analytics use casesExperience building and maintaining production data pipelines, transformations, and warehouses in a cloud-based environmentComfort working with self-service BI and analytics tools, enabling non-technical stakeholders to answer their own questionsA hybrid mindset: you can think like a software engineer while deeply understanding analytical and business requirementsExperience supporting SaaS metrics such as revenue, usage, billing, or customer health reportingStrong understanding of data warehousing concepts (fact/dimension modeling, performance optimization, data quality)Proven ability to deliver quickly without compromising technical qualityWhat Sets You ApartYou take ownership and accountability for outcomes, not just implementationsYou care deeply about data correctness, clarity, and trustYou enjoy collaborating cross-functionally and explaining complex concepts in plain languageYou’re energized by building systems from imperfect inputs and evolving them as the business growsWhat We OfferFlexible vacation12 company-paid holidays10 paid sick daysNo work on your birthdayHealth, dental, and vision Insurance (including a $0 option)401(k) with matching, and no waiting periodEquityLife insuranceGenerous parental paid leaveWellness reimbursement of $300/yearRemote worker reimbursement of $300/yearProfessional development reimbursementCompetitive payAn award-winning cultureHiring NoteNot sure if you check all the boxes? Apply anyway! We value potential as much as experience. We’re looking for people who are eager to learn, adapt, and solve challenges.Final hiring decisions are ultimately made by humans (AI tools may be used to support parts of the hiring process).
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