Senior Data Engineer - AI-First Data Pipelines & Analytics

Aircall.io, Inc.; San Francisco (CA); On-site; USD 130,000 - 200,000; Full time

Job summary

Aircall, a unicorn AI-powered customer communications platform, is seeking a Data Engineer to help build robust data pipelines and semantic layers for real-time analytics. You will work with product and GTM teams to deliver high-quality data for churn prediction and adoption metrics, ensuring reliability and scalability across the data platform.

You will design and maintain core data infrastructure, enhance data quality, and collaborate with data scientists, analysts and engineers to translate

Qualifications

• Bachelor’s degree or higher in Computer Science, Engineering, or related field.
• 3+ years in data engineering focused on pipelines and infrastructure.
• Proficient in SQL and Python; translate complexity into efficient code.
• Experience with dbt and Airflow for data workflows.
• Experience with AWS, GCP, or Azure cloud platforms.
• Strong analytical and problem-solving abilities; good collaboration.
• Experience designing AI-ready semantic data layer is a major plus.
• Experience with data governance, BI and data privacy is a plus.

Responsibilities

• Design, build and maintain core data infrastructure pieces that allow Aircall to support our many data use cases.
• Enhance the data stack, lineage monitoring and alerting to prevent incidents and improve data quality.
• Implement best practices for data management, storage and security to ensure data integrity and compliance with regulations.
• Own the core data pipeline, responsible for converting business needs to efficient & reliable data pipelines.
• Participate in code reviews to ensure code quality and share knowledge.
• Lead efforts to evaluate and integrate new technologies and tools to enhance our data infrastructure.
• Define and manage evolving data models and data schemas. Manage SLA for data sets that power our company metrics.
• Collaborate with applied scientists, data scientists, analysts and other business stakeholders to drive efficiencies for their work, supporting complex data processing, storage and orchestration

Skills

SQL

Python

Data pipelines

dbt

Airflow

Cloud platforms

Education

Bachelor’s degree in CS/Engineering

Tools

dbt

Airflow

AWS

GCP

Azure

Job description

Aircall, a unicorn AI-powered customer communications platform, is seeking a Data Engineer to help build robust data pipelines and semantic layers for real-time analytics. You will work with product and GTM teams to deliver high-quality data for churn prediction and adoption metrics, ensuring reliability and scalability across the data platform.

You will design and maintain core data infrastructure, enhance data quality, and collaborate with data scientists, analysts and engineers to translate