Senior / Staff Data Engineer

🕒 April 13

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AirOps

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

AirOps is a comprehensive content orchestration platform that empowers teams to leverage AI for optimizing content production and strategy. It enables organizations to transform insights into actions across the content lifecycle, from research and creation to optimization and publication. By integrating advanced workflows and expert guidance, AirOps helps brands enhance their visibility and drive meaningful engagement in an ever-evolving digital landscape.

📋 Description

• Reliability and completeness of our multi-provider ingestion pipeline: build failover logic, track daily completion rates per AI provider, and maintain the systems that ensure customers always get accurate, timely data • Data quality and consistency end to end: own the contracts between ingestion, processing, and downstream serving so that what customers see in the product is correct and trustworthy • Extraction pipeline performance: design and maintain async processing patterns that keep our ingestion throughput ahead of demand as we scale • Data readiness for new features: partner with engineering upstream so instrumentation, schema changes, and pipeline capacity are in place before features ship • Pipeline observability: build and maintain health monitoring across the full data stack so the team knows the state of the system in real time

🎯 Requirements

• Built and maintained production data pipelines at meaningful scale, including experience with ingestion, ETL, and distributed job queue systems • Hands-on experience with ClickHouse or a comparable columnar store, including schema design, materialized views, and query optimization • Experience working with third-party data providers or scraping infrastructure at scale • Designed and owned reliability and observability systems: you have built the dashboards and alerting that tell you what is wrong before users do • Comfortable working close to the application layer: our stack is Rails and Postgres and this person will need to understand how backend systems feed the data platform

🏖️ Benefits

• Equity in a fast-growing startup • Competitive benefits package tailored to your location • Flexible time off policy • Parental Leave • A fun-loving and (just a bit) nerdy team that loves to move fast!