AI-First Data Engineer: Build Scalable Analytics

Aircall; Santa Fe (NM); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Competitive salary package

Insurance coverage (medical, dental, 1

401k plan with company matching

Unlimited PTO

Wellness and commuter reimbursements

Parental leave

Job summary

Aircall, a unicorn AI-powered customer communications platform, is seeking a Data Engineer to build the data layer powering real-time dashboards and AI-ready analytics. You’ll own end-to-end data pipelines, collaborate with product, GTM, and analytics teams, and help scale our semantic layer for churn prediction and feature adoption.

We value hands-on engineers proficient in SQL and Python, with dbt and Airflow experience, cloud platforms (AWS/GCP/Azure), and a track record of delivering

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of data engineering experience with data pipelines and infrastructure.
• Proficient in SQL and Python.
• 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 troubleshoot complex data issues and collaborate effectively across teams.
• Prior experience designing AI-ready data semantic layer is a major plus.
• Experience with data governance and data privacy is a plus.

Responsibilities

• Design, build and maintain core data infrastructure pieces to support various data use cases.
• Enhance the data stack, lineage monitoring and alerting to improve data quality.
• Implement best practices for data management, storage and security to ensure compliance.
• Own the core company data pipeline, translating business needs to reliable data pipelines.
• Participate in code reviews to ensure code quality and knowledge sharing.
• Lead efforts to evaluate and integrate new technologies and tools.
• Define and manage evolving data models and data schemas; manage SLAs for data sets.
• Collaborate with applied scientists, data scientists, analysts and stakeholders to drive efficiencies.
• Bridge raw data and AI-driven decision-making within the data organization.

Skills

SQL

Python

Data pipelines

Distributed computing

Communication

Cross-functional collaboration

Problem solving

Education

Bachelor's degree in Computer Science or Engineering

Tools

dbt

Airflow

AWS

GCP

Azure

Job description

Aircall, a unicorn AI-powered customer communications platform, is seeking a Data Engineer to build the data layer powering real-time dashboards and AI-ready analytics. You’ll own end-to-end data pipelines, collaborate with product, GTM, and analytics teams, and help scale our semantic layer for churn prediction and feature adoption.

We value hands-on engineers proficient in SQL and Python, with dbt and Airflow experience, cloud platforms (AWS/GCP/Azure), and a track record of delivering