Aircall.io, Inc.
Data Engineer/Senior Data Engineer, Data and Science
San Francisco Office · Senior
Sponsorship not specified$130k-$200kDetected 2 days ago
PythonCode ReviewSQLAWSGCPAirflowdbtData EngineeringData ScienceCommunicationCollaborationProblem Solving
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37Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
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About the role
- The Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data.
- You will work closely with Product and GTM business teams, sitting at the heart of a larger data organization alongside Data Science, Analytics, and Applied Scientists to bridge the gap between raw data and AI-driven decision-making.
Responsibilities
- Design, build and maintain core data infrastructure pieces that allow Aircall to support our many data use cases.
- 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.
- 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
- 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 may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.
Requirements
- 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.
- 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.
- Level will be determined by a variety of factors, including years of experience, the scope and complexity of that experience, and interview performance.
Nice to have
- Experience with data tooling, data governance, business intelligence and data privacy is a plus.
Compensation
- $130,000 - $200,000 USD
- 💶 Competitive salary package & benefits
Benefits
- 📚 Fast-learning environment, entrepreneurial and strong team spirit
- At Aircall, we believe diversity, equity and inclusion - irrespective of origins, identity, background and orientations - are core to our journey.
- We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open.
Company info
- We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.
- Some of the key problems we are currently solving include taking charge of data reliability, integrating new sources for raw data ingestion, and building sophisticated data models to power real-time dashboards and predictive analytics.
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