Senior Data Engineer

🔥 55 minutes ago

🇺🇸 United States – Remote

💵 $130k - $140k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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ClassLink

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1998

📚 Education

🔒 Cybersecurity

☁️ SaaS

💰 Venture Round on 2007-03

Education • Cybersecurity • SaaS

ClassLink is a company providing educational technology solutions that focus on identity and access management for schools. Their services include identity and access management, learning analytics, and cybersecurity with features such as single sign-on and multi-factor authentication, tailored for K-12 and higher education institutions. ClassLink aims to create a secure and efficient digital learning environment, enhancing education through improved access to technological resources and data-driven insights.

📋 Description

• Lead development of complex data platforms, cloud-native data services, enterprise integrations, and scalable data pipelines across multiple products and systems • Establish engineering best practices for AI-assisted development, data engineering, data quality, observability, testing, security, and software reliability • Evaluate emerging data technologies, AI-enabled engineering capabilities, and cloud services while guiding technical adoption • Champion AI-assisted engineering tools, intelligent automation, and modern data engineering practices • Design scalable data architectures balancing maintainability, security, performance, scalability, reliability, and business objectives • Lead technical implementation of complex data engineering initiatives and guide architectural decisions and implementation tradeoffs • Design and optimize multi-tenant data platforms, REST APIs, ETL/ELT pipelines, event-driven data integrations, data warehouses, and cloud-native data services • Ensure solutions meet standards for data quality, governance, testing, operational readiness, security, and compliance • Improve data engineering automation, developer productivity, platform reliability, data quality, and delivery efficiency • Develop reusable frameworks, data engineering standards, technical documentation, reference architectures, and tooling • Identify systemic data engineering challenges and implement long-term improvements • Optimize AWS-based data platforms through automation, monitoring, observability, cost optimization, and performance tuning • Partner with Product, Engineering, Architecture, Infrastructure, Quality Engineering, DevEx, and technical leaders • Lead technical discussions, architecture reviews, cross-team initiatives, and enterprise data integration efforts • Mentor Data Engineers through coaching, design reviews, code reviews, and knowledge sharing • Influence engineering decisions through modern data architecture, cloud-native practices, data governance, and operational excellence

🎯 Requirements

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or a related field, or equivalent combination of education and experience • 5+ years of progressive experience in data engineering, backend software engineering, or cloud-native platform development • Advanced proficiency in Python and modern software engineering practices, including object-oriented programming, asynchronous programming, type hinting, and application architecture • Expert experience with SQLAlchemy ORM, Alembic migrations, PostgreSQL, relational database design, and query optimization • Experience designing scalable REST APIs, distributed systems, enterprise data pipelines, and cloud-native applications • Strong experience designing and implementing ETL/ELT pipelines, data integration solutions, and enterprise data platforms • Expertise with AWS services, cloud-native architectures, Infrastructure as Code (Terraform or equivalent), CI/CD pipelines, observability, automation, and DevOps practices • Experience using AI-assisted software development tools and modern engineering practices • Ability to lead complex technical initiatives, drive architectural decisions, and balance technical tradeoffs with business objectives • Strong analytical, systems-thinking, and problem-solving skills • Excellent communication, collaboration, and technical mentoring skills • Experience leading enterprise-scale data platform or cloud modernization initiatives across multiple teams • Expertise with Snowflake, modern data warehouses, lakehouse architectures, or large-scale analytics platforms • Experience designing event-driven architectures, streaming platforms, or distributed data processing systems • Experience with Kubernetes, container orchestration, platform engineering, or Site Reliability Engineering practices • Experience establishing engineering standards, reusable frameworks, shared developer tooling, or data governance practices • Experience with AI-assisted development, intelligent automation, machine learning pipelines, or AI-enabled data engineering • AWS, Snowflake, or other cloud and data engineering certifications • Experience contributing to enterprise architecture, technology strategy, or organizational engineering initiatives • Experience designing data platforms supporting LLMs, vector databases, RAG, semantic search, or AI-powered applications

🏖️ Benefits

• 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 • ClassLink Cares paid volunteer days • Tuition reimbursement for continued education • Coaching and internal programs supporting career and personal growth • Annual company retreats and team events