Data Engineer, IC2

Job not on LinkedIn

🕒 September 29

🇺🇸 United States – Remote

💵 $105k - $115k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 2%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 45 days.
• Jobs at this company usually fill in 37 days.

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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

• 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

🎯 Requirements

• 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

🏖️ 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 • 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

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