Data Engineer, AI

Calix

. Design and build scalable data pipelines to collect, clean, and organize data from various sources .

Posted 11/11/2026full-timeRemote • United StatesMid-LevelSenior💰 $70,200 - $112,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building scalable data pipelines, integrating AI solutions with business applications, and deploying machine learning models. Proficient in ensuring data quality, security, and compliance while collaborating with cross-functional teams to deliver intelligent applications.

Highest-signal resume keywords

Data EngineeringMachine Learning EngineeringSQL ProficiencyPython ProgrammingCloud Data Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentMachine Learning Model DeploymentAPI IntegrationData Quality AssuranceMLOps PracticesAutomation Tools DevelopmentData Governance FrameworksAdvanced Data EngineeringChatbot DevelopmentFeature Stores

Soft Skills

Problem-Solving SkillsEffective Communication Skills

Tools & Technologies

DbtFivetranAirflowSnowflakeDatabricksBigQueryRedshiftSynapseAWSGCP

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s Degree in Relevant Field

Industry Keywords

AI SolutionsData ComplianceIntelligent ApplicationsAgentic AIData Security

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureBigQueryCloudDockerGoogle Cloud PlatformPythonSnowflakeSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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