Senior AI/Data Engineer

🕒 Fevereiro 17

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $160.000 - $180.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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WorkWave

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1984

☁️ SaaS

🚗 Transporte

🤝 B2B

SaaS • Transport • B2B

WorkWave é um provedor líder de software de gestão de serviços de campo, projetado para aumentar a eficiência de empresas em uma ampla gama de indústrias. Suas soluções de software simplificam operações, otimizam fluxos de trabalho e melhoram a experiência do cliente. Os produtos da WorkWave incluem software de CRM e ERP, gestão de operações de campo, roteamento e agendamento, faturamento e pagamentos, além de soluções de fintech e marketing. Com ferramentas adaptadas para indústrias como controle de pragas, limpeza, HVAC, cuidado de gramados e entrega, a WorkWave visa apoiar as empresas no aumento da eficiência operacional e na satisfação do cliente por meio de soluções impulsionadas por tecnologia.

Descrição

• Build and scale data systems that drive our “decision intelligence” products. • Collaborate across teams to ensure data is a true product enabler. • Design systems that empower customer-facing data products. • Provide technical leadership and mentorship to other data engineers and cross-functional collaborators. • Own the architecture and evolution of our data platform, ensuring it meets the performance, scalability, and agility needs of our growing business. • Implement data governance, quality, and observability best practices to ensure trustworthy insights, proactively managing data health before it impacts the business. • Optimize cloud data infrastructure for cost, performance, and maintainability, treating the platform as a product rather than just a utility. • Collaborate closely with product managers, engineers, and customer stakeholders to understand context and needs, and help translate them into engineering solutions.

🎯 Requisitos

• 5+ years of experience in data engineering, with 1–2+ years in a senior or lead capacity. • You possess a profound understanding of ML models and can articulate the trade-offs between different architectures (e.g., complexity vs. inference speed, accuracy vs. interpretability) to ensure the right tool is selected for the job. • "Ninja-level" proficiency in Python for complex data structures and automation, alongside strong SQL expertise. • Strong familiarity with Scikit-Learn and similar libraries, with specific experience building and maintaining associated feature engineering pipelines. • High proficiency in MLOps practices and orchestration tools (e.g., Airflow, dbt, Dagster) to manage model lifecycles and data dependencies. • Solid experience with modern data platforms (e.g., Snowflake, BigQuery, Redshift, or Databricks). • Strong understanding of data modeling, performance optimization, and cloud computing (AWS, GCP, or Azure). • Excellent communication and collaboration skills, with a proven ability to work effectively across technical and non-technical teams.

🏖️ Benefícios

• Employees can expect a robust benefits package, including health and dental and 401k with company match • Find your perfect work/life balance with our Flexible Time Off policy or generous PTO plan (role dependent) and paid holidays • Up to 4 weeks paid bonding leave • Tuition reimbursement • Robust Employee Assistance Program through TotalCare offering free counseling 24/7/365, plus financial counseling, legal guidance, adoption assistance services and much more! • 24/7 access to virtual medical care with Teladoc • Quarterly awards based on peer nominations • Regional discounts and perks • Opportunities to participate in charitable events and give back to the community