Data & AI Engineer

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 provides the cloud, software platforms, systems and services required for communications service providers to simplify their businesses, excite their subscribers and grow their value.

Role Summary

As a Data & AI Engineer, you will design, build, and optimize data pipelines, machine learning models, and AI-enabled solutions that empower enterprise teams to make smarter decisions and automate complex workflows. You will play a key role in delivering agentic capabilities by developing intelligent applications, autonomous agents, and advanced automation. You will collaborate with business and technical teams to create reliable, scalable, and secure data and AI solutions that integrate seamlessly with enterprise platforms.

Key Responsibilities

Design and build scalable data pipelines to collect, clean, and organize data from various sources using modern tools.
Integrate data and AI solutions with business applications and enterprise platforms.
Develop and deploy machine learning models, for enterprise use cases.
Strong knowledge of data architecture, data engineering, data modeling, data warehousing, and data platforms.
Ensure data quality, security, and compliance across all data and AI projects, following best practices and governance frameworks.
Create intelligent applications such as chatbots and automation tools integrated with enterprise platforms.
Collaborate with cross-functional teams to deliver end-to-end solutions.
Document processes and share technical knowledge to support team learning and project continuity.
Apply advanced data engineering and machine learning techniques to solve complex business problems and optimize data architectures.
Contribute to agentic AI initiatives, such as autonomous agents, advanced chatbots, and AI-driven automation platforms.

Minimum Qualifications

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 for data querying, transformation, and analysis.
Strong programming skills in Python for data processing, automation, and model development.
Experience building and maintaining data pipelines using modern tools (e.g., dbt, Fivetran, Airflow).
Experience with cloud data platforms such as Snowflake, Databricks, BigQuery, Redshift, or Synapse.
Experience with at least one major cloud provider (AWS, GCP, or Azure).
Practical experience working with machine learning concepts, including model training, evaluation, and deployment.
Exposure to MLOps practices such as model packaging, CI/CD, and monitoring.
Experience integrating data and AI solutions with business applications or enterprise platforms.
Experience with API integration for connecting data, AI models, and applications.
Ability to develop and support intelligent applications (e.g., chatbots, automation tools).
Knowledge of data quality assurance, security, and compliance best practices.
Experience documenting processes and sharing technical knowledge with team members.
Strong problem‑solving skills and ability to work collaboratively in cross‑functional teams.
Effective written and verbal communication skills.

Preferred Qualifications

Master's degree or higher in a relevant field.
Advanced experience in data engineering, including building scalable, high‑performance data architectures and ETL frameworks.
Advanced experience in machine learning, including designing, training, and deploying complex models for real‑world applications.
Experience with agentic AI systems, such as autonomous agents, advanced chatbots, or AI‑driven automation platforms.
Experience implementing and maintaining data governance frameworks, including data lineage, metadata management, privacy, and compliance.
Experience with containerization (Docker) and modern software development practices.
Exposure to vector databases, semantic search, or feature stores.

Compensation

The base pay range for this position varies based on the geographic location. More information about the pay range specific to candidate location and other factors will be shared during the recruitment process. Individual pay is determined based on location of residence and multiple factors, including job‑related knowledge, skills and experience.

San Francisco Bay Area: 89,700 - 143,800 USD Annual
Select US Metros and States: 78,000 - 125,000 USD Annual
Other US Locations: 70,200 - 112,500 USD Annual

As a part of the total compensation package, this role may be eligible for a bonus.

Important Information

PLEASE NOTE: All emails from Calix will come from a '@calix.com' email address. Please verify and confirm any communication from Calix prior to disclosing any personal or financial information. If you receive a communication that you think may not be from Calix, please report it to us at talentandculture@calix.com.

The Calix platform enables Communication Service Providers (CSPs) of all sizes to transform and future‑proof their businesses. Through real‑time data, automation, and actionable insights delivered via Calix One — our cloud‑first, AI‑powered platform — CSPs can simplify operations, collapse cost, and accelerate innovation. Calix One brings together the automation of everything and the experience of one, empowering customers to deliver differentiated subscriber experiences while driving acquisition, loyalty, and revenue growth.

This is the Calix mission: to enable CSPs of all sizes to simplify, innovate, and grow, strengthening both their businesses and the communities they serve. We're at the forefront of a once‑in‑a‑generation change in the broadband industry. Join us as we innovate, help our customers reach their potential, and connect underserved communities with unrivaled digital experiences.

To learn more, visit the Calix web site at www.calix.com

To learn more about our international job opportunities, please visit our International Careers Page

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