Staff Engineer – Data Engineering

🕒 Maio 1

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $220.000 - $240.000 / ano

⏰ Tempo Integral

🔴 Especialista

🚰 Engenheiro de Dados

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Chartbeat

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2009

📱 Mídia

☁️ SaaS

💰 $7.000.000 Venture Round em 2018-07

Media • Analytics • SaaS

A Chartbeat é uma empresa que oferece soluções de software robustas para empresas de mídia, permitindo otimizar conteúdos, ampliar audiências leais e aprimorar estratégias por meio de analytics inteligentes. As ferramentas da empresa, como o Chartbeat for Publishing e o Datastream, disponibilizam dados e insights em tempo real, permitindo que equipes editoriais e de marketing tomem decisões embasadas com agilidade. Confiada por milhares de equipes de conteúdo no mundo todo, a Chartbeat fornece monitoramento e análises em tempo real para melhorar o engajamento e a usabilidade. A plataforma é especialmente valiosa para redações, marcas editoriais e demandas de marketing, ajudando a otimizar de forma consistente a estratégia e a execução de conteúdo.

Descrição

• Design, own and contribute to the cross-division data architecture, establishing patterns and standards that scale across both Chartbeat and Tubular platforms • Lead the technical strategy for integrating data products across divisions, enabling new cross-brand features and insights • Drive the AI and backend infrastructure roadmap - from data pipelines that feed models to deployment patterns for LLM-powered features • Identify and close skill gaps across the data engineering team, actively mentoring engineers and elevating the collective technical ceiling • Collaborate with product, engineering, and ML teams to translate business needs into scalable architectural decisions • Establish and evolve best practices for data modeling, pipeline design, and system observability across the organization • Evaluate and prototype emerging AI and generative AI technologies for application to real-world product challenges • Participate in engineering planning and contribute to roadmap prioritization with a cross-division perspective • Be part of engineering on call rotation to monitor and maintain the health of our production systems.

🎯 Requisitos

• 8+ years of experience in data engineering, data architecture, or a closely related discipline • Proven experience designing large-scale data systems across complex, multi-product or multi-division environments • Strong proficiency with cloud data warehouse technologies (Snowflake, BigQuery, or equivalent) • Experience building and maintaining data pipelines at scale, streaming and batch, using tools such as Kafka, Spark, Airflow, or similar • Demonstrated experience integrating AI and ML capabilities into data systems, including LLMs or foundation models in production environments • Strong Python and Data Architecture experience • Excellent communication skills - able to translate complex architectural decisions for both technical and non-technical audiences • A track record of elevating engineering teams through mentorship, documentation, and technical leadership • Experience with Kubernetes or containerized infrastructure is a plus

🏖️ Benefícios

• Comprehensive Health, Dental, and Vision Insurance • 401K with company match (100% of the first 3% and 50% of the next 2%) • Fully Paid Parental Leave - 18 weeks for birthing parents, 12 weeks for non-birthing parents • Phone and internet stipend • Wellness, learning, and coworking reimbursements • Flexible work hours • Unlimited PTO • 11 paid holidays and December holiday closure • Annual In-Person Event