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CertifID

CertifID - Senior Data Engineer

Remote - / Grand Rapids, MI / Austin, TX2d ago
RemoteSeniorNAData AnalyticsSoftwareSenior Data EngineerSoftware EngineerSQLBusiness IntelligenceReportingData QualityCustomer Success

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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 • What Sets You Apart • 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 • 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

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 • Generous parental paid leave • Wellness reimbursement of $300/year • Remote worker reimbursement of $300/year • Professional development reimbursement • Competitive pay • An award-winning culture • Not sure if you check all the boxes? Apply anyway! • We know that great talent comes in many forms, and we value potential just as much as experience. If you're excited about this role and believe you can grow into it, we’d love to hear from you. We’re looking for people who are eager to learn, adapt, and solve challenges—so if that sounds like you, don’t let a checklist hold you back! • Change doesn't happen overnight, and the same goes for us here at CertifID. We evolve collectively and individually as we grow by leaning into the core values that define us. As we grow, we embody GRIT—collectively and individually—to raise the bar and influence outcomes in everything we do. Guard the Customer - Raise the Bar - Influence Outcomes - Teamwork Wins • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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