Senior Data Engineer

About Us

Eagle Eye Networks is the global leader in cloud video surveillance, delivering cyber-secure, cloud-based video with artificial intelligence (AI) and analytics to make businesses more efficient and the world a safer place. The Eagle Eye Cloud VMS (video management system) is the only platform robust and flexible enough to power the future of video surveillance and intelligence. Eagle Eye is based in Austin, Texas, with offices in Amsterdam, Bangalore, and Tokyo.

Eagle Eye Networks is a dynamic, fast-moving company. We value the benefits of face-to-face collaboration, and we believe it is more enjoyable and productive. The synergy of in-office interaction is critical to our culture and your presence is essential for Eagle Eye Networks' success.

Summary

The Revenue Operations Team at Eagle Eye Networks is responsible for driving revenue growth. This team includes the Revenue Analytics team, which manages an on-prem analytics stack to provide descriptive, predictive, and prescriptive analytics. A key role within this team is the senior data engineer, who will be responsible for data ingestion, database availability, and data accuracy. We're looking for a
Senior Data Engineer
to architect and scale the data platform powering Eagle Eye Networks' revenue analytics and AI-driven insights. You'll own the design of resilient ELT pipelines, manage orchestration, and ensure data is accurate and trusted by executives across a fast-growing global SaaS company.

About the role:

• Build and own robust data pipelines (SQL + Python) to turn messy, non-standard data into trusted analytics.
• Design and manage orchestration workflows (Airflow or similar) to keep pipelines reliable at scale.
• Develop APIs and integrations to connect data across systems.
• Partner with platform engineering to run and optimize pipelines in Kubernetes.
• Ensure compliance, security, and high availability of revenue data.

You bring:

• Strong SQL + Python skills and experience owning end-to-end data pipelines.
• Experience with orchestration frameworks (Airflow, Prefect, Dagster, etc.).
• Hands-on Docker/Linux/Git.
• Comfort working in containerized/Kubernetes environments.
• Bonus: dbt, Airbyte, sales/revenue data experience, or interest in AI/analytics.

Why join us:

You'll be the data engineering backbone for a
global leader in AI-powered cloud video surveillance
. Your work will directly impact how revenue teams operate, how executives make decisions, and how Eagle Eye scales analytics across 90+ countries. If you love building data systems that matter — this role is for you.

More About Eagle Eye Networks

Eagle Eye Networks is leveraging artificial intelligence on its true cloud platform to dramatically reshape the video surveillance and security industry. The Eagle Eye Cloud Video Management System (VMS) is a smart cloud video surveillance solution, purpose-built to help businesses improve safety, security, operations, and customer service. Tens of thousands of companies in more than 90 countries around the globe have moved their video surveillance to the cloud with Eagle Eye VMS. Customers, including multi-family residences, smart cities, schools, hospitals, hotels, logistics, restaurants, and retail shops trust Eagle Eye for actionable business intelligence and proactive security across multiple locations. The Eagle Eye VMS has strong APIs for the secure integration of third-party systems and works with thousands of industry cameras, so customers don't have to "rip and replace" their existing infrastructure. Eagle Eye Cloud VMS is the only platform robust enough to power the future of video surveillance.

Eagle Eye Networks is an equal employment opportunity employer and values diversity. Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law.