Senior Data Engineer - AI-First Pipelines & Analytics

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

Job summary

Aircall's Data Engineering team is building a high-quality, reliable data platform as part of an AI-first data initiative. This Data Engineer/Senior Data Engineer role focuses on creating datasets for high-impact use cases like churn prediction and feature adoption, while owning reliable, scalable data pipelines and data models to power real-time dashboards and analytics.

You will collaborate with Product and GTM teams, bridging raw data and AI-driven decision-making within a larger data

Qualifications

• Bachelor's degree or higher in Computer Science, Engineering, or a related field.
• 3+ years of experience in data engineering, with a strong focus on designing and building data pipelines and infrastructure.
• Proficient in SQL and Python, with the ability to translate complexity into efficient code.
• Experience with data workflow development and management tools (dbt, Airflow).
• Solid understanding of distributed computing principles and experience with cloud-based data platforms such as AWS, GCP, or Azure.
• Strong analytical and problem-solving skills, with the ability to effectively troubleshoot complex data issues.
• Prior experience designing AI-ready data semantic layer is a major plus, specifically for enabling low-latency, high-fidelity analytics at scale.
• Experience with data tooling, data governance, business intelligence and data privacy is a plus.

Responsibilities

• Design, build and maintain core data infrastructure pieces that support Aircall's 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 company 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

Education

Bachelor's degree or higher in CS/Engineering or related field

Tools

dbt

Airflow

AWS

GCP

Azure

Job description

Aircall's Data Engineering team is building a high-quality, reliable data platform as part of an AI-first data initiative. This Data Engineer/Senior Data Engineer role focuses on creating datasets for high-impact use cases like churn prediction and feature adoption, while owning reliable, scalable data pipelines and data models to power real-time dashboards and analytics.

You will collaborate with Product and GTM teams, bridging raw data and AI-driven decision-making within a larger data