Aircall Logo

Aircall

Staff Data Engineer - United States

Sorry, this job was removed Sorry, this job was removed at 03:21 p.m. (PST) on Monday, Apr 14, 2025
Hybrid
3 Locations
Hybrid
3 Locations

Aircall is the world’s leading integrated customer communications and intelligence platform for growing businesses. Trusted by over 20,000 companies worldwide, Aircall unifies voice and digital channels into one seamless platform, offering one-click integrations with leading CRMs and over 100 business tools. With real-time, AI-powered insights and feedback, AI agents, and automation, we help sales and support teams save time on routine tasks, uncover opportunities, and deliver exceptional customer experiences. With a global team of 600+ across nine offices, Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, Mexico City, Aircall is transforming how businesses connect with their customers, driving smarter conversations, deeper relationships, and measurable success.


How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in


We are building the future of communication and we would love for you to be a part of it. 


About the role:


We are looking for a passionate and experienced data engineer to join our team and contribute to Aircall’s rapid growth. As a Staff Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure.


This role offers the unique opportunity to be at the forefront of our engineering efforts to develop and optimize the technologies that will scale our business via enhancing the customer journey. Collaborating with teams across the company, you will leverage your technical skills to solve complex challenges, improve operational efficiency and lead our business towards its strategic goals.

Your Responsibilities @ Aircall:

  • 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.   
  • Mentor junior members of the team, providing guidance and support in their professional development.
  • Collaborate with data scientists, analysts and other stakeholders  to drive efficiencies for their work, supporting complex data processing, storage and orchestration

Qualifications:

  • Bachelor's degree or higher in Computer Science, Engineering, or a related field.
  • 7+ years of experience in data engineering, with a strong focus on designing and building data pipelines and infrastructure.
  • Expert proficiency 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.
  • Experience with data tooling, data governance, business intelligence and data privacy is a plus.

Aircall is constantly moving forward. We’re building new roads to complete our journey, and we’re taking people with us who have the same builder mentality.


Let’s grow together: Aircall is a place for those who dare to be bold and seek responsibility, excellence, and the opportunity to push themselves to new heights.


We’re creating a place where great people trust one another and thrive together.


People flourish at Aircall and now is the time to be part of the team and the journey we’re on.


Why join us?


🚀 Key moment to join Aircall in terms of growth and opportunities

💆‍♀️ Our people matter, work-life balance is important at Aircall

📚 Fast-learning environment, entrepreneurial and strong team spirit

🌍 45+ Nationalities: cosmopolite & multi-cultural mindset

💶 Competitive salary package & benefits


DE&I Statement: 

At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey. 


We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.  


We are strongly committed to hiring a diverse and multicultural team and we encourage applications from traditionally underrepresented backgrounds.


Aircall San Francisco, California, USA Office

San Francisco, California, United States

Similar Jobs

2 Hours Ago
Hybrid
Bellevue, WA, USA
156K-255K Annually
Expert/Leader
156K-255K Annually
Expert/Leader
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
As a Staff Data Engineer, you'll lead the marketing data engineering team, manage data operations, and drive analytics strategy across platforms, while ensuring data quality and infrastructure improvements.
Top Skills: Apache AirflowAWSGCPGoogle Tag ManagerLookerPostgresPythonSnowflakeSQLTableauVertica
4 Hours Ago
Hybrid
2 Locations
178K-313K Annually
Senior level
178K-313K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
As a Data Engineer, you will build ETL pipelines, ensure data integrity, implement data warehousing solutions, and maintain data security practices while collaborating with various stakeholders.
Top Skills: AirflowGitGoogle BigqueryHadoopJavaPythonScalaSparkSQL
4 Hours Ago
Hybrid
3 Locations
100K-176K Annually
Junior
100K-176K Annually
Junior
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
The Data Engineer will develop ETL pipelines, manage data warehouses, ensure data quality, and implement security practices while collaborating with various stakeholders.
Top Skills: AirflowGitGoogle BigqueryHadoopJavaPythonScalaSparkSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account