Data Engineer
Density Inc.
To our future Data Engineer
At Density, we build one of the most advanced people sensing systems in the world. The product and infrastructure is nuanced and one-of-a-kind. Building this product for scale has been an exercise in patience, creativity, remarkable engineering, laser physics, global logistics, and grit. The team is thoughtful, driven, and world-class.
Why this is an important role
Last week our deployed DPUs detected a million humans walking through doors. A number that increases every week.
As engineers, we think it's pretty cool to be capturing events at this volume. Especially when it's done anonymously, accurately, and in real-time. Our customers, however, are interested in what happens after these events enter our system.
Density is deployed globally, servicing a variety of use cases, by some of the largest companies in the world. Here are just a few examples. A leading cloud storage company is using Density to strengthen their physical security by detecting unauthorized access. A marquee hotel brand is using Density to measure lounge occupancy and dynamically deliver world-class service. An international telecom is using Density to better design and optimize their real estate portfolio.
These use cases may seem disparate, but a common thread holds them together. They all share the need for real-time and ongoing data analysis. And that's where you come in.
Our systems must efficiently and reliably:
- Update current counts and analytics whenever a relevant event occurs, for every impacted space,
- Publish the information to low-latency receivers via webhooks and websockets,
- Alert and notify as appropriate through SMS, email, and push notifications, and
- Aggregate events into analytics used for dashboards, forecasts, and fleet management.
Turning millions of events into actionable insight is a nuanced dance. Are you up for the job?
This role reports to our Director of Engineering.
What you'll work on
- Scale event ingestion pipelines requiring high availability and real-time data processing/delivery.
- Store, optimize, and deliver analytical data via a RESTful API.
- Backend development on internal and customer facing projects, utilizing Python, Django, and NodeJS.
- Refine APIs and data delivery mechanisms for applications such as web dashboards, alerting & health systems, mobile applications, and third party integrations
- Work closely with DevOps to monitor inefficiencies and improve infrastructure
- React to customer needs and feedback through tight-looped, iterative development
- Contribute to open source initiatives
- Document and teach best practices across our stack
What we're looking for
- 5+ years industry experience building and scaling web applications and APIs
- Deep experience with stream processing systems (i.e. Kafka)
- Experience writing ETL pipelines on a cloud infrastructure (AWS)
- Deep experience with Python, Django / DRF, and Postgres
- Experience building data-centric applications, including analytics pipelines, report generation systems, and alerting & health systems
- An understanding and appreciation for application performance monitoring and profiling tools
- A desire to define, document, and teach web engineering standards
- Strong writing skills, especially with crafting clear and concise documentation
- A motivation for constant learning
Icing on the cake
- Experience with statistical analysis and trend data modeling
- A deep appreciation for design
- A strange obsession with counting people (or what you can do with the resultant data)
While we have offices in Syracuse (NY), San Francisco, and NYC, we embrace and have built a culture around remote work.
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