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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Data Analytics Engineer - **Company:** CareerPlug - **Location:** Austin, TX, United States (Remote available) - **Salary:** $169,000.0 - **Contract:** Franchise - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Frameworks, Business Logic, Automation of Tests, Cloud Computing, Software Quality, Code Review, Data Architecture, Data Infrastructure, Data Integration, Relational Databases, Operational Data Store, Operational Databases, Ruby on Rails, Raw Data, Standard Sql, Software Engineering, AI Coding Agents, Backend, Domo, Software Version Control, Data Pipelines - **Published:** October 12, 2026 - **Apply:** https://cplugjobs.careerplug.com/jobs/3611892 ## About the Role * You're strongest in the middle of the data stack: transforming raw data into reliable, well-modeled datasets and interfaces that others can build on. * You have deep SQL skills and strong judgment around data modeling, testing, documentation, version control, and production data quality. * You've worked with modern data and BI ecosystems and can evaluate tools based on the problem they solve rather than attachment to a particular vendor. * You're comfortable leading through ambiguity and can explain technical tradeoffs clearly. * You think like a software engineer about data: code quality, maintainability, contracts, tests, incremental changes, and future maintainers all matter to you. * You can move between technical and business conversations and translate business meaning into durable data definitions. * You enjoy being a senior individual contributor who influences through technical judgment, collaboration, mentoring, and standards rather than people management. * You use AI-assisted engineering intentionally without lowering the bar for what ships. Experience we're looking for * Demonstrated experience designing and maintaining production data pipelines and transformation layers. * Strong SQL and relational data modeling experience. * Experience with automated testing, version control, code review, and software engineering practices applied to analytics/data work. * Experience defining or governing shared metrics, semantic concepts, or trusted datasets used across teams. * Experience integrating data systems with applications, APIs, or operational workflows. * Experience participating in or leading a BI/data tooling migration is strongly preferred. * Experience with Ruby on Rails or another backend application framework is a plus. * Experience with Domo or another proprietary BI platform is helpful, but not required. ## Description We turn business logic into software. This Staff Data Analytics Engineer role owns the middle of our data stack: taking raw data and turning it into modeled, tested, documented datasets that our business and product teams can build on with confidence. You'll be our only dedicated data engineer and the senior-most technical seat in our data function. You'll work closely with our BI team and our tight-knit Product & Engineering function to set the patterns other analytics work operates within, define what our core metrics actually mean, and create a stable interface between our warehouse and our Rails application so analytics logic and product code can evolve without breaking one another. The near-term work includes helping us evaluate and potentially even lead a transition away from a proprietary BI platform where important business logic currently lives in ways that are difficult to test, version, and share with application engineers. You'll help set the direction for what comes next. The long-term work is everything after that: the definitions, tests, contracts, pipelines, and engineering craft that make trustworthy data possible. This is not a cloud infrastructure role. Our Platform team owns the warehouse infrastructure, scheduler, access, and related platform operations. We're hiring for the layer above that: the data architecture, transformations, contracts, and software practices that turn infrastructure into dependable business and product data. What you'll do * Own the architecture and reliability of data pipelines that bring complete, timely data into the warehouse. * Build and maintain modeled, tested, documented datasets that teams can trust and safely change. * Define and steward core business metrics and entities so important numbers have one clear, discoverable definition. * Create and maintain stable data contracts between the warehouse and our Rails application. * Design data quality practices that catch issues early, including testing, monitoring, freshness expectations, and incident follow-up. * Own and improve operational data writebacks and system-to-system syncs. * Partner with BI teammates and business stakeholders to understand the business domain behind the data. * Set technical direction for our data function, weighing architecture and tooling decisions for maintainability, cost, scalability, and future needs. * Write and review production-quality code, documentation, and pull requests that other engineers can safely extend. * Use AI coding tools thoughtfully while maintaining accountability for quality, security, testing, and maintainability. How we'll measure success * Published datasets and metrics are trusted enough that stakeholders can act on them without maintaining competing versions. * Core metrics have a single live definition, and documentation answers common data questions without requiring a person to interpret them every time. * Data incidents caused by unexpected schema or dataset changes are rare, quickly detected, and leave behind stronger safeguards. * Application engineers understand which datasets are stable interfaces they can build against and which are internal implementation details. * Our BI and engineering teammates experience the data platform as deliberate, maintainable, and increasingly easier to work with over time., Of course, we also crave face-to-face connection! We offer employees the opportunity to gather in-person a few times per year, with full travel expenses paid. 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