> Markdown version of [/jobs/ext/3002319-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/3002319-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analytics Engineer - **Company:** Tailscale US Inc. - **Location:** New York, NY, United States (Remote available) - **Salary:** $152,000.0 - $190,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Artificial Intelligence, Data Analysis, Macintosh Computers, Big Data, Software as a Service, Software Documentation, Data Files, Database Queries, Systems Development Life Cycle, Salesforce.Com, SQL Databases, Web Applications, Wi-Fi Technology, Guidewire PolicyCenter, Stripe, Data Management, Data Pipelines - **Published:** September 19, 2026 - **Apply:** https://www.careerbuilder.com/job-details/analytics-engineer-data-new-york-ny--5d85cce1-f168-4eda-b22e-1d24632bb87d ## About the Role * Experience designing and maintaining production-grade data models and pipelines. * Deep understanding of modern data modeling principles and best practices. * Strong SQL skills and confidence working with complex datasets and schemas. * High attention to detail, with high standards for data accuracy and validation. * Flexibility and resourcefulness in navigating manual tasks or imperfect systems. * Passion for clean code, scalable architecture, and incrementally reducing complexity over time. * Ability to manage time, prioritize effectively, and thrive in a fast-moving environment. * Clear communication skills with both technical and non-technical collaborators. * Willingness to flexibly support other domains (e.g., Product, Marketing, and Engineering) as the team grows. Nice to Have * Experience at a high-growth PLG SaaS company. * A track record of transforming manual, ad hoc workflows into scalable data pipelines. * Familiarity with billing systems, GAAP accounting, revenue recognition, or audit support. * Exposure to Stripe, Salesforce, or Orb in billing and finance contexts. * Familiarity with financial cycles and the need for fast iteration during month- and quarter-end., Analysis Skills, Apple Macs, Artificial Intelligence (AI), Best Practices, Billing, Candidate Screening, Coaching, Communication Skills, Computer Workstations, Data Management, Data Modeling, Data Quality, Data Sets, Detail Oriented, Establish Priorities, Finance, Generally Accepted Accounting Principles (GAAP), Internet Application, Laptop PC, Mentoring, Needs Assessment, Product Marketing, Reimbursement, Revenue Accounting, Revenue Recognition, SQL (Structured Query Language), Sales, Salesforce.com, Scalable System Development, Software as a Service (SaaS), Time Management, User Documentation, Wi-Fi ## Description We are looking for an Analytics Engineer who thrives in high-complexity environments-someone excited to bring clarity to chaos, untangle complex models, and lay down the foundation for scalable solutions. This is a hands-on, high-impact role for someone who isn't afraid to address manual processes, viewing them as opportunities to build scalable solutions that drive meaningful impact. You'll work closely with stakeholders across the company to build reliable, trusted data models that support reporting, analysis, and decision-making., * Dive into complex systems and manual workflows to develop an understanding of our tools and constraints. * Thoughtfully design and maintain clean, scalable, production-grade dbt models (e.g., ARR, revenue recognition). * Work across the full data pipeline, from ingestion to transformation to visualization. * Take a pragmatic approach to system challenges, balancing quick fixes with thoughtful long-term design. * Collaborate with Finance, Engineering, Sales, and other teams across the company to understand data needs and deliver timely, practical solutions. ## Related Videos - [Navigating Growth, Scaling Challenges, and Office Expansions with David Singleton, CTO at Stripe](https://www.wearedevelopers.com/videos/100362-navigating-growth-scaling-challenges-and-office-expansions-with-david-singleton-cto-at-stripe) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Introduction to TXT](https://www.wearedevelopers.com/videos/30-introduction-to-txt) - [Throwing off the burdens of scale in engineering](https://www.wearedevelopers.com/videos/608-throwing-off-the-burdens-of-scale-in-engineering) - [Build Your Own Subscription-based Course Platform](https://www.wearedevelopers.com/videos/321-build-your-own-subscription-based-course-platform) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 139 - Soft and hard queries](https://www.wearedevelopers.com/magazine/487-dev-digest-139-soft-and-hard-queries) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Dev Digest 119 - ❤️ === ❤️](https://www.wearedevelopers.com/magazine/454-dev-digest-119)