Data Engineering Team Lead
Company Name:-
Density
Job Location:-
Remote
Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionAt 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.
We build systems that are real-time, accurate, and anonymous by design.
Our systems help todays largest companies understand how their buildings get used.
We have counted hundreds of millions of people.
Counting people in real-time is unique and particularly hard to achieve.
It allows a user to walk into a room, beneath our sensor, and see the rooms occupancy increment 700ms later.
Today alone, Density will ingest over 1m events.
In the coming year, our sensor network is on track to grow ten-fold.
The overall system load is exploding.
Maintaining our low latency standards requires an increasingly thoughtful system.
Were architecting infrastructure where annual, unscheduled downtime is measured in minutes.
Were building intelligent redundancies so missed events are an oddity.
Were constructing an exceptional engineering team to support always-on, intelligible analytics generated on the fly.
This role reports to our Director of Data Science & Engineering.
This is a hands on technical role with a management track.
As the Data Engineering Team Lead at Density, you will help build out and lead a team of Data Engineers to provide ETL pipelines and infrastructure for core product Data Science capabilities at a fast paced startup in growth mode.
In this role you will:
Define and collaborate on the big data IoT tech stack, using Apache Spark, Kafka, Python, and AWS.
Make technology choices and to fill in the gaps for tool-chains and workflows.
Work with software developers and data scientists to establish and implement good data engineering practices and processes.
Work with hardware engineers to help interface data from cloud to hardware devices.
Work with team members to keep projects on track and stakeholders informed.
The ideal candidate will have:
5+ years experience as a data engineerPython.
Extensive knowledge of Python program
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