Data Engineer, AI

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $70.2k - $112.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Calix

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2000

📡 Telecommunications

☁️ SaaS

🏢 Enterprise

💰 $50M Venture Round on 2009-08

Telecommunications • SaaS • Enterprise

Calix is a comprehensive solutions provider that focuses on enabling broadband service providers (BSPs) to simplify, innovate, and grow their businesses. Through its advanced broadband platform, Calix offers technologies like 10G-PON, 5G, Wi-Fi 7, and more to improve network operations, reduce downtime, and enhance the subscriber experience. The company provides managed services such as SmartLife and SmartHome, which help subscribers operate, secure, and enhance their connected lifestyles. Calix serves diverse provider types including telcos, cable operators, and municipal utilities, helping them deliver critical broadband connectivity and transform community access to digital services. With a focus on cloud technology, analytics, and transformation guidance, Calix empowers service providers to thrive in the digital age.

📋 Description

• Design and build scalable data pipelines to collect, clean, and organize data from various sources • Integrate data and AI solutions with business applications and enterprise platforms • Develop and deploy machine learning models for enterprise use cases • Ensure data quality, security, and compliance across data and AI projects • Create intelligent applications such as chatbots and automation tools • Collaborate with cross-functional business and technical teams to deliver end-to-end solutions • Document processes and share technical knowledge • Apply advanced data engineering and machine learning techniques to solve business problems and optimize data architectures • Contribute to agentic AI initiatives, including autonomous agents, advanced chatbots, and AI-driven automation platforms

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience • Minimum 3 years of hands-on experience in data engineering, machine learning engineering, or AI solution development • Proficiency in SQL • Strong programming skills in Python • Experience building and maintaining data pipelines using dbt, Fivetran, Airflow, or similar modern tools • Experience with cloud data platforms such as Snowflake, Databricks, BigQuery, Redshift, or Synapse • Experience with AWS, GCP, or Azure • Practical experience with machine learning model training, evaluation, and deployment • Exposure to MLOps practices including model packaging, CI/CD, and monitoring • Experience integrating data and AI solutions with business applications or enterprise platforms • Experience with API integration • Ability to develop and support intelligent applications such as chatbots and automation tools • Knowledge of data quality assurance, security, and compliance best practices • Experience documenting processes and sharing technical knowledge • Strong problem-solving skills • Effective written and verbal communication skills • Preferred: Master’s degree or higher in a relevant field • Preferred: Advanced data engineering and machine learning experience • Preferred: Experience with agentic AI systems, data governance frameworks, Docker, vector databases, semantic search, or feature stores

🏖️ Benefits

• Bonus eligibility • Employee benefits package (details available via the employer’s benefits information)

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