Staff Data Analytics Engineer

Vaga não está no LinkedIn

🕒 Outubro 13

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $169.000 / ano

⏰ Tempo Integral

🔴 Especialista

📊 Engenheiro de Analytics

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CPLUG - Central PA Linux User Group

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 1994

🔒 Cibersegurança

📚 Educação

Cybersecurity • Education

CPLUG (Central PA Linux Users Group) é um grupo para pessoas interessadas em aprender sobre Linux. Usuários de todos os níveis de habilidade e origens são bem-vindos. Estamos localizados perto de Harrisburg, Pensilvânia.

Descrição

• Own the architecture and reliability of data pipelines bringing complete, timely data into the warehouse • Build and maintain modeled, tested, and documented datasets • Define and steward core business metrics and entities • Create and maintain stable data contracts between the warehouse and Rails application • Design data quality practices 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 the data function and make architecture and tooling decisions • Write and review production-quality code, documentation, and pull requests • Evaluate and potentially lead migration away from a proprietary BI platform • Use AI coding tools while maintaining accountability for quality, security, testing, and maintainability • Establish dependable definitions, tests, contracts, pipelines, and engineering practices for trustworthy data

🎯 Requisitos

• 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 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 • Deep SQL skills and strong judgment around data modeling, testing, documentation, version control, and production data quality • Ability to evaluate modern data and BI tools based on the problems they solve • Ability to explain technical tradeoffs clearly and translate business meaning into durable data definitions • Ability to use AI-assisted engineering intentionally while maintaining quality, security, testing, and maintainability • Must be a U.S.-based candidate and legally authorized to work in the United States; sponsorship may be required according to the application form

🏖️ Benefícios

• Work from home / fully remote • Employer-paid health insurance • Unlimited PTO (with minimums) • Pet insurance • One-week paid PTO before start date • 401(k) company match • Employer-paid life insurance • Employer-paid long-term disability insurance • Donation matching • Home office stipend • Occasional in-person company/team events with full travel expenses paid • Opportunity to attend an optional in-person company event annually • 12 weeks paid parental leave • Vision and dental insurance

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