Data Engineer: AI-First Pipelines & Real-Time Insights

Aircall.io, Inc.; Santa Fe (NM); On-site; USD 130,000 - 200,000; Full time

Benefits offered by this job

Competitive salary package & benefits

Growth opportunities

Diversity and inclusion

Job summary

Aircall is seeking a Data Engineer/Senior Data Engineer to join the Data & Science team in the United States. You will build and scale data pipelines, contribute to real-time dashboards, and support AI-ready data platforms powering analytics and decision-making across product and GTM teams.

You will own data reliability, data models, and the integration of new data sources, working closely with Data Science, Analytics, and Applied Scientists to turn raw data into actionable insights.

Qualifications

• Bachelor's degree in a technical field
• 3+ years of data engineering experience building data pipelines and infrastructure
• Proficiency in SQL and Python with scalable data solutions
• Experience with dbt, Airflow, and cloud platforms (AWS/GCP/Azure)

Responsibilities

• Design, build and maintain core data infrastructure to support multiple data use cases.
• Enhance data stack, lineage monitoring and alerting for data quality.
• Own data pipelines and ensure reliability, scalability and security.
• Collaborate with data scientists, analysts and stakeholders to drive insights.

Skills

SQL

Python

dbt

Airflow

Cloud platforms

Data Modeling

Communication

Education

Bachelor's degree in Computer Science, Engineering, or related field

Job description

Aircall is seeking a Data Engineer/Senior Data Engineer to join the Data & Science team in the United States. You will build and scale data pipelines, contribute to real-time dashboards, and support AI-ready data platforms powering analytics and decision-making across product and GTM teams.

You will own data reliability, data models, and the integration of new data sources, working closely with Data Science, Analytics, and Applied Scientists to turn raw data into actionable insights.