Data Engineer

🕒 Maio 27

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $160.000 - $220.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

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Flex

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2023

💳 Fintech

☁️ SaaS

🤝 B2B

Fintech • SaaS • B2B

A Flex é uma empresa de infraestrutura de pagamentos SaaS que permite que comerciantes e marcas aceitem pagamentos HSA/FSA e outros benefícios de saúde. Sua plataforma, que prioriza APIs, integra-se com plataformas de e-commerce (Shopify, WooCommerce, etc. ) e suporta fluxos complexos como pagamentos divididos em cartões, assinaturas, verificação de elegibilidade, Cartas de Necessidade Médica automatizadas e relatórios em escala empresarial para aumentar a conversão e o valor médio dos pedidos. A Flex é direcionada a marcas de saúde, bem-estar e fitness que desejam desbloquear gastos com benefícios pré-impostos no checkout, mantendo-se em conformidade.

Descrição

• Design, build, and own the data pipelines and ML services that classify product eligibility and power downstream decisions across Flex • Model the data domain (products, merchants, eligibility rules, classifications, and outcomes) in warehouses and serving systems other teams build on • Partner with backend, product, and operations stakeholders translating merchant and consumer needs into reliable data products, models, and APIs • Own and improve the architecture of the data warehouse, transformation layer, ML training and inference systems, and real-time serving paths • Analyze, troubleshoot, and resolve production issues rooted in data quality, model accuracy, pipeline reliability, and serving latency • Collaborate on cross-functional projects connecting the full Flex experience, from consumer checkout to merchant analytics • Build and maintain evaluation harnesses, golden datasets, and observability for the models and pipelines you ship • Create and maintain documentation for data models, pipelines, and on-call runbooks • Contribute to a culture of learning, problem-solving, and operational excellence

🎯 Requisitos

• 5+ years building production data systems and pipelines in Python or a comparable typed language • Strong SQL and data-modeling fundamentals; experience with a modern cloud warehouse (Snowflake, BigQuery, Redshift, or similar) and a transformation framework like dbt • Hands-on experience deploying machine-learning models to production, owning training, inference, evaluation, and rollout, not just notebooks • Familiarity with at least one transformer-based ML framework (PyTorch + Hugging Face Transformers preferred) and a working sense of when classical or embedding-based models beat LLMs and when they don't • Resourceful, curious, and comfortable learning new tools quickly • Thrive in fast-paced, dynamic environments and enjoy wearing multiple hats • Collaborative and enjoy working across teams to solve problems • Execution mindset with focus on end users • Proficient at leveraging AI tools to ship faster

🏖️ Benefícios

• Medical, dental, and vision plans • Unlimited PTO and sick days • Paid parental leave • Flexible, remote-first environment