Senior Data Engineer
CertifID
full-time
Posted on:
Location Type: Remote
Location: Texas • United States
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Job Level
About the role
- Own the systems that turn raw data into trusted insights across the company
- Partner closely with Product, Finance, Sales, and Customer Success to ensure our data platform scales with the business and directly supports decision-making
- 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
- Great talent comes in many forms, and we value potential just as much as experience
- Recognized as one of the Best Startups to Work for in Austin
- Made the Inc. 5000 list
- Won Best Culture by Purpose Jobs two years in a row
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdata modelingdata engineeringanalytics engineeringbusiness intelligenceELT pipelinesdata transformationsdata warehousingproduction codeperformance optimization
Soft Skills
collaborationproblem-solvingcommunicationadaptabilitycritical thinkingattention to detailcontinuous improvementstakeholder engagementeducational skillscraftsmanship