Principal Data Engineer – Technical Lead

🕒 Junho 5

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $238.600 - $298.300 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Unqork

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2017

☁️ SaaS

🏢 Corporativo

🤖 Inteligência Artificial

💰 Venture Round em 2021-01

SaaS • Enterprise • Artificial Intelligence

A Unqork é uma fornecedora líder de uma plataforma de aplicação sem código que permite que as empresas construam, protejam e gerenciem aplicações facilmente, sem a necessidade de escrever código. A empresa se concentra em impulsionar a transformação digital ao minimizar a dívida técnica e promover a colaboração entre as equipes de TI e negócios. A plataforma da Unqork é projetada para acelerar a agilidade dos negócios ao oferecer segurança de nível empresarial e conformidade, reduzindo significativamente o tempo e os recursos necessários para o desenvolvimento e gestão de aplicações. Indústrias que se beneficiam das soluções da Unqork incluem serviços financeiros, governo, seguros e saúde, entre outras. Com um mercado robusto e capacidades de integração, a Unqork ajuda as organizações a modernizar seus sistemas legados e impulsionar a inovação.

Descrição

• Act as a player-coach, providing technical direction, architectural guidance, and daily mentorship to a focused team of 3–5 engineers. Conduct thoughtful code reviews and foster professional growth within your squad. • Design and implement sophisticated Data Access Layers (DAL) and custom ODMs to translate platform-generated, SQL-like queries into high-performance MongoDB BSON operations and aggregation pipelines. • Build and maintain middleware that ensures Unqork’s core business logic remains storage-agnostic, enabling seamless modularity and flexibility across different data storage mechanisms. • Architect and scale a multi-tenant, secure MongoDB ecosystem. Lead strategies for ensure high availability while performing deep-dive execution plan analysis (IXSCAN vs. COLLSCAN) to optimize query performance. • Plan and architect hybrid data architectures to support operation, transactional and analytical schema and database systems. • Use Node.js and JavaScript to build robust microservices (typically GraphQL) and internal libraries that integrate dynamic, metadata-driven data patterns into the Unqork no-code runtime. • Design schemas and declarative models that allow non-technical users to build complex application logic without compromising data integrity or system performance. • Architect real-time and batch data pipelines using Apache Kafka and Spark to facilitate data transformation and movement between relational and NoSQL systems. • Partner with Platform and Backend engineers to standardize data interaction patterns, ensuring high-scale, API-driven performance across the entire enterprise cloud. • Partner closely with the Product Management team to influence the product roadmap, translate business requirements into technical specifications, and ensure alignment between product goals and engineering execution

🎯 Requisitos

• Bachelor's Degree in Computer Science/ Master’s or above preferred • 10+ Years of experience in backend, data, or platform engineering, with a proven track record of solving complex latency and implementation challenges for systems supporting millions of users. • 2+ Years of experience in a Technical Lead or Player-Coach capacity, with demonstrated success managing, mentoring, and steering a small team of engineers while remaining hands-on in the codebase. • Deep, hands-on proficiency with SQL database systems (PostGress), search systems (e.g. Elastic) AND with MongoDB/Atlas, including complex aggregation pipelines, BSON data modeling, sharding, replica sets, and advanced query performance tuning. • Strong experience building Data Access Layers (DAL), custom ODMs, or query translation engines that successfully decouple application logic from underlying storage systems. • High proficiency in Node.js or other major backend languages (Python, Java, or Go) to build high-scale, event-driven architectures. • Direct experience implementing Redis (caching/TTL strategies) and Atlas Search (Lucene) to optimize data retrieval and discovery. • Advanced knowledge of cloud platforms (AWS, Azure, or GCP) and distributed systems, including experience with containerization (Docker/Kubernetes). • Familiarity with SQL-to-NoSQL translation patterns and a background in building internal developer platforms or metadata-driven systems (e.g., no-code/low-code). • An AI-forward mindset: You are an avid user of AI tools and are passionate about exploring how AI can automate workflows, enhance creativity, and increase your personal impact.

🏖️ Benefícios

• 💻 Work from home with a remote-first community • 🏝 Unlimited PTO (and the encouragement to use it) • 📝 Student loan payback program • 🏥 100% employer-covered medical, dental, and vision options available to you and your dependents • 💸 Flexible Spending Account (FSA) • 🏠 Monthly stipend toward your WFH setup, vacation, development and more • 💰 Employer-sponsored 401(k) with contribution match • 🏋🏻‍♀️ Subsidized ClassPass Membership • 🍼 Generous Paid Parental Leave