Data Engineer

🕒 Agosto 8, 2025

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Wynd Labs

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2018

🤖 Inteligência Artificial

Artificial Intelligence • Data

A Wynd Labs está focada em tornar os dados públicos da web acessíveis para aplicações de inteligência artificial. A empresa oferece aos clientes empresariais redes robustas de web scraping para acessar dados diversos, como insights financeiros para empresas de médio e pequeno porte. Além disso, a Wynd Labs contribui para o desenvolvimento de IA oferecendo conjuntos de dados orientados para IA e projetando modelos de IA nativos para ajudar na extração e estruturação de dados. Sua plataforma suporta uma ampla gama de soluções de negócios, incluindo dados de treinamento de IA, extração de preços, verificação de anúncios e serviços de dados financeiros.

Descrição

• We build infrastructure that delivers massive amounts of web data to the companies training the world’s most powerful AI models. • We’re the team behind Grass, a bandwidth-sharing network that lets us operate a massive distributed crawler, giving us unique access to high-quality public web data at global scale. • On top of that, we’ve built pipelines for ingesting, segmenting, and annotating billions of videos, transcripts, and audio files, powering dataset creation for frontier labs. • We’re lean, technical, and move fast. No red tape, no slow decision-making; just a team of builders pushing to expand what’s possible for open web data and AI. • We are seeking a Data Engineer with expertise in building and maintaining robust data pipelines and integrating scalable infrastructure. You will join a small, talented team and play a critical role in designing and optimizing our data systems, ensuring seamless data flow and accessibility. Your contributions will directly support our mission to position Grass as a key player in the evolution of data-driven innovation on the internet.

🎯 Requisitos

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related technical field. • Extensive experience with database systems such as Redshift, Snowflake, or similar cloud-based solutions. • Advanced proficiency in SQL and experience with optimizing complex queries for performance. • Hands-on experience with building and managing data pipelines using tools such as Apache Airflow, AWS Glue, or similar technologies. • Solid understanding of ETL (Extract, Transform, Load) processes and best practices for data integration. • Experience with infrastructure automation tools (e.g., Terraform, CloudFormation) for managing data ecosystems. • Knowledge of programming languages such as Python, Scala, or Java for pipeline orchestration and data manipulation. • Strong analytical and problem-solving skills, with an ability to troubleshoot and resolve data flow issues. • Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes) technologies for data infrastructure deployment. • Collaborative team player with strong communication skills to work with cross-functional teams.

🏖️ Benefícios

• Opportunity. We are at at the forefront of developing a web-scale crawler and knowledge graph that allows ordinary people to participate in the process, and share in the benefits of AI development. • Culture. We’re a lean team working together to achieve a very ambitious goal of improving access to public web data and distributing the value of AI to the people. We prioritize low ego and high output. • Work Remotely • Compensation. You’ll receive a competitive salary, benefits and equity package.