Senior Data Engineer

🕒 Agosto 28

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $190.000 - $210.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

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Logo of Jump

Jump

11 - 50 funcionários

Fundada em 2021

⚽ Esportes

☁️ SaaS

🤝 B2B

Sports • SaaS • B2B

A Jump é uma plataforma de experiência de fã de ponta a ponta dedicada à indústria esportiva. A empresa se especializa em ajudar clubes esportivos a aumentar sua receita criando relacionamentos duradouros com os fãs. A Jump fornece soluções de software abrangentes, incluindo venda primária de ingressos e aplicativos e sites de fãs com marca própria, para gerenciar inventário, controle de acesso e otimizar a experiência do torcedor. Tendo colaborado com mais de 70 equipes de grandes ligas como NBA, NHL, NFL, MLS e MLB, a Jump é construída especificamente para atender às necessidades únicas de equipes esportivas e seus torcedores. A plataforma visa expandir as bases de fãs, aumentar a receita por fã e melhorar o engajamento dos torcedores em eventos ao vivo.

Descrição

• Build and maintain ELT pipelines that turn raw data into modular, well-tested dbt models inside Snowflake • Design and maintain reliable data orchestration and workflows as the platform grows in complexity • Write and maintain dbt tests to catch issues before they become critical • Document models and sources so data meaning is discoverable • Build monitoring and alerting for pipeline failures and data anomalies • Optimize Snowflake table design and materialization strategy for performance and cost • Evolve Snowflake access controls and governance, including roles, grants, and security • Understand internal team and external client data needs and translate them into solutions • Apply engineering discipline through version control, CI/CD, and code review • Build data infrastructure and governance supporting AI/ML use cases and reliable access to high-quality data • Work across data platform, analytics engineering, and data infrastructure while shaping architecture and data practices

🎯 Requisitos

• 6+ years of data engineering experience • Ability to independently own complex data systems from design through production and make sound architectural tradeoffs • Strong product and stakeholder instincts; ability to translate ambiguous business needs into durable data solutions • Deep, production-grade SQL and Snowflake expertise • Deep experience with dbt, including testing, documentation, dependencies, and deployment • Git-based version control • CI/CD for data pipelines • Strong Python skills for building data pipelines, orchestration, and custom transformations • Track record of building testing, monitoring, and alerting into pipelines before something breaks • Familiarity with BI/analytics tools, ideally Sigma • Experience with orchestration and workflow tooling • Depth with cloud platforms • Exposure to supporting ML/AI pipelines or streaming and real-time data • Curiosity and willingness to become a subject matter expert • Passion for solving real problems and maintaining high standards • Empathy and appreciation for diverse perspectives • Customer-centric mindset • Passion for exploring and implementing AI technologies • Authorized to work in the U.S. without sponsorship

🏖️ Benefícios

• Competitive salary and equity • Remote first • Flex PTO policy • 401(k) • Generous medical, dental and vision plans • 16 weeks paid parental leave for primary and secondary caregivers • $1,000 reimbursement for work-from-home tech setup • $1,000 reimbursement for learning and development • Company-paid sustainability subscription to ensure carbon neutrality is maintained for employee activities, such as travel

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