Hardware Jobs Austin

3

Software Engineer, Back End

Hangar
Austin
1 day ago
Hangar is a leading drone software and analytics company. We help customers digitize their operations. We scan constructions sites, mines, solar fields, telecom infrastructure - even architectural heritage. Our flight app is the most powerful drone mission planner in the world today, allowing users to effortlessly perform complex flights and accurately scan even the most challenging terrain or structures. Our platform helps clients run their

Regulatory Classification Expert

Smarter Sorting
Austin
2 days ago
+36
Smarter Sorting is seeking a Regulatory Classification Expert to help us in our efforts to revolutionize the compliance space. Our Regulatory Classification Expert has consulted with data and engineering teams as well as offered their expertise to support sales and customer success. This person is comfortable reviewing and auditing regulatory data from the waste management industry so that it is properly used in the most valuable way. They also have experience working with big box retailers, formulators and/or shipping and logistics companies. They are well versed in the Resource Conservation and Recovery Act (RCRA) and understand how the Environmental Protection Agency (EPA) uses its authority to develop processes and policies on how to properly manage hazardous and non-hazardous waste. 

Data Engineer

Smarter Sorting
Austin
1 week ago
+36
Smarter Sorting has positioned itself as the industry leader in chemical reuse and shipping. We are building upon our data platform to power these goals, and are seeking a Data Engineer to help architect and develop scalable solutions. Our Data Engineer will work cross-functionally with our Data Scientists to fully automate our ETL (extract, transform, load) pipelines. The end-goal would be to make adding a new data source as simple as filling out a configuration file and adding it to a queue. They will also monitor and manage data ingestion as well as clean existing data. Our Data Engineer will define data models, update the ETL to interface with the new data store, and manage the migration from Mongo to Postgres.

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