Data Engineer/Senior Data Engineer, Data and Science

Aircall

Data Engineer building high-quality, reliable data infrastructure for AI-driven insights at Aircall. Collaborating across teams to enhance data pipelines and analytics capabilities.

Posted 5/7/2026full-timeSeattle • Washington • 🇺🇸 United StatesSenior💰 $130,000 - $160,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

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 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

Requirements

What you’ll need

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.
Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
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.

Benefits

Comp & perks

Medical, dental, and vision insurance is 100% covered
401k plan with company matching!
Unlimited PTO — take the time you need to come to work feeling great!
Wellness, internet, and childcare reimbursements
Generous parental leave policy

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata pipelinesSQLPythondata workflow developmentdbtAirflowdistributed computingcloud-based data platformsdata governance

Soft Skills

analytical skillsproblem-solving skillscommunication skillscollaboration skills

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Engineering