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.