Data & AI Engineer: Enterprise AI & Automation

Calix

Myrtle Point (OR)

On-site

USD 70,000 - 113,000

Full time

3 days ago
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Job summary

Calix is seeking a Data & AI Engineer to design, build, and optimize data pipelines, ML models, and AI-enabled solutions for enterprise teams. You will develop intelligent applications, autonomous agents, and automation tools that integrate with broad enterprise platforms.

You will collaborate with business and technical teams to deliver reliable, scalable data and AI solutions, ensure data quality and security, and document processes for team continuity.

Qualifications

  • Bachelor's degree in a technical field or equivalent practical experience.
  • 3+ years in data engineering, ML engineering, or AI solution development.
  • Proficiency in SQL for data querying and analysis.
  • Strong Python skills for data processing, automation, and model development.
  • Experience building data pipelines with dbt, Fivetran, Airflow.
  • Experience with cloud data platforms (Snowflake, Databricks, BigQuery, Redshift, Synapse).
  • Experience with at least one cloud provider (AWS, GCP, or Azure).
  • ML concepts: training, evaluation, deployment; familiarity with MLOps practices.

Responsibilities

  • Design scalable data pipelines to collect, clean, and organize data from multiple sources.
  • Integrate data and AI solutions with enterprise platforms and applications.
  • Develop and deploy machine learning models for enterprise use cases.
  • Ensure data quality, security, and governance across projects.

Skills

Python programming
SQL
Data pipelines
Machine learning
MLOps
API integration
Data quality & governance

Education

Bachelor's degree in Computer Science, Engineering, Mathematics
Master's degree or higher

Tools

dbt
Fivetran
Airflow
Snowflake
Databricks
BigQuery
Redshift
Synapse
AWS
GCP
Azure
Docker
Vector databases
Semantic search
Feature stores

Job description

Calix is seeking a Data & AI Engineer to design, build, and optimize data pipelines, ML models, and AI-enabled solutions for enterprise teams. You will develop intelligent applications, autonomous agents, and automation tools that integrate with broad enterprise platforms.

You will collaborate with business and technical teams to deliver reliable, scalable data and AI solutions, ensure data quality and security, and document processes for team continuity.

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