Data Engineer, IC2

Vaga não está no LinkedIn

🕒 Setembro 29

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $105.000 - $115.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

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ClassLink

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 1998

📚 Educação

🔒 Cibersegurança

☁️ SaaS

💰 Venture Round em 2007-03

Education • Cybersecurity • SaaS

ClassLink é uma empresa que fornece soluções de tecnologia educacional com foco em gerenciamento de identidades e acessos para escolas. Seus serviços incluem gerenciamento de identidade e acesso, análises de aprendizado e cibersegurança com características como autenticação única e autenticação multifatorial, adaptadas para instituições de educação básica e superior. A ClassLink busca criar um ambiente de aprendizagem digital seguro e eficiente, melhorando a educação através de um acesso aprimorado aos recursos tecnológicos e insights baseados em dados.

Descrição

• Design, develop, and optimize scalable data pipelines, REST APIs, and cloud-native data services supporting ClassLink products and internal platforms • Apply AI-assisted engineering practices, modern data engineering methodologies, and coding standards • Ensure solutions meet standards for security, testing, observability, data quality, and software reliability • Own technical implementation for assigned data engineering initiatives from design through deployment • Design and enhance secure, scalable, reliable multi-tenant data architectures • Develop and extend ETL/ELT pipelines integrating vendor data through REST APIs, SFTP, event-driven integrations, message queues, and other data exchange methods • Design scalable REST APIs and database solutions for application functionality, reporting, and downstream integrations • Extend relational data models, implement schema migrations, and optimize database performance while maintaining data integrity • Improve engineering efficiency through automation, workflow optimization, testing improvements, and AI-assisted development • Develop and maintain automated testing for APIs, ETL processes, and data validation • Contribute reusable components, technical documentation, engineering standards, and operational runbooks • Support and optimize AWS-based data platforms through automation, monitoring, observability, performance tuning, and cost optimization • Collaborate with Product Management, Agentic Engineering, Cloud Engineering, Security Engineering, Quality Engineering, Architecture, Infrastructure, Analytics, and fellow Agentic Data Engineers • Participate in technical design discussions, code reviews, architecture reviews, and engineering working groups • Share technical knowledge and mentor Associate Data Engineers through problem-solving, design guidance, and code reviews

🎯 Requisitos

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or a related field, or equivalent combination of education and experience • 3–5 years of experience in data engineering, backend software engineering, or cloud-based data platform development • Advanced proficiency in Python, including object-oriented programming, type hinting, decorators, context managers, and asynchronous programming concepts • Strong experience with SQLAlchemy ORM, Alembic migrations, relational database design, and PostgreSQL • Experience designing, developing, testing, and supporting REST APIs using FastAPI or similar frameworks • Experience designing and supporting ETL/ELT pipelines and integrating data from APIs, SFTP, vendor systems, and other external sources • Experience designing and supporting AWS cloud services and cloud-native data solutions, including storage, compute, networking, monitoring, and serverless capabilities • Experience with Git, CI/CD pipelines, automated testing, observability, and Agile software development • Strong analytical, troubleshooting, and problem-solving skills with the ability to independently resolve complex technical issues • Excellent communication and collaboration skills with experience working on cross-functional Agile teams • Experience using AI-assisted software development tools and modern engineering practices to improve developer productivity and software quality • Preferred: Experience designing and supporting multi-tenant SaaS platforms • Preferred: Experience with Snowflake or other cloud data warehouse technologies • Preferred: Experience with data orchestration platforms and workflow automation tools • Preferred: Experience building scalable event-driven or distributed data processing systems • Preferred: Experience designing or supporting vector databases, Retrieval-Augmented Generation (RAG) pipelines, semantic search, feature stores, or other AI-ready data architectures • Preferred: Familiarity with Infrastructure as Code, containerization, Kubernetes, or serverless architectures • Preferred: Experience mentoring junior engineers or leading technical initiatives • Preferred: Knowledge of data governance, data quality frameworks, observability, and monitoring practices • Preferred: Experience using AI-assisted development tools to improve software engineering productivity • Preferred: AWS certifications or data engineering certifications

🏖️ Benefícios

• 4+ weeks of vacation • 13+ paid holidays • 12 weeks fully paid parental leave for all parents • 401(k) with 0.5:1 company match • Medical, dental, and vision plans • Company-paid life, short-term disability, and long-term disability insurance • Voluntary supplemental life, accident, and pet insurance • Paid volunteer days through ClassLink Cares • Tuition reimbursement for continued education • Coaching and internal programs supporting career and personal growth • Annual company retreats and team events