Location: Remote or any of our offices in Honolulu, San Francisco, New York, Los Angeles, Denver or Miami
About Us
We are dataplor, a rapidly expanding global location data company. Our mission is to comprehensively map and understand every commercial location on the planet. We are seeking a highly skilled individual to join our team as a Senior Ruby Engineer. This role requires a strong comfort level with remote work and global collaboration, as well as a passion for delivering customized data solutions.
Role Overview
To succeed on our team, we’re looking for people who can relate to these values:
• Mission orientation: you should be actively and acutely curious about the concentric goals around you (project, team, and company goals) and engaged in thinking creatively about how to solve them
• Intrinsic motivation: you care about clean code because it’s your craft, even if no one else ever sees it
• Independence: If you see something that needs to be fixed, you fix it
• Humility: The scale and messiness of real world data is a huge challenge that requires us to constantly question our assumptions
• Team mentality: We all succeed or fail together, the scale of the challenge is too large to do it alone
The core skills you will need for this role:
• Database: Our datastore of choice is Postgres, so you will need to be very fluent in working with and understanding the performance characteristics of relational databases
• Ruby: The core of our system is written in Ruby, so you will be expected to write Ruby at a high level
Things that are less core but also incredibly helpful:
• We have additional projects written in Javascript and Python. Experience with those languages is a great plus
• Experience with large datasets, which often impose their own unique constraints (especially on memory), and require thinking in streams
• Advanced experience with spatial data – beyond just storing lat/lons. Spatial is a unique and important aspect of our data, and we frequently use polygons and advanced geometric operations to analyze the data
• Practical knowledge of embeddings and vectors, specifically in how to leverage them to solve useful problems
• Experience with Docker, which is somewhat ubiquitous for cloud applications
• Experience working with a complex and often poorly documented AWS ecosystem, where we host most of our cloud things
Why you might want to work here
• Decent scratch for solving interesting problems
• We are and have always been 100% remote– we care about the work that you do, not where you do it
• Uber Eats stipend
• Healthcare
• Unlimited PTO
• Regular team retreats
• New hardware
Location: , , US
Offer Expires: 2025-03-30 21:01:39
Job Posting Language: en
Benefits:
- Paid Time Off
Qualifications:
- Mission orientation: you should be actively and acutely curious about the concentric goals around you (project, team, and company goals) and engaged in thinking creatively about how to solve them
- Intrinsic motivation: you care about clean code because it’s your craft, even if no one else ever sees it
- Independence: If you see something that needs to be fixed, you fix it
- Humility: The scale and messiness of real world data is a huge challenge that requires us to constantly question our assumptions
- Team mentality: We all succeed or fail together, the scale of the challenge is too large to do it alone
- Database: Our datastore of choice is Postgres, so you will need to be very fluent in working with and understanding the performance characteristics of relational databases
- Ruby: The core of our system is written in Ruby, so you will be expected to write Ruby at a high level
- We have additional projects written in Javascript and Python
- Experience with those languages is a great plus
- Experience with large datasets, which often impose their own unique constraints (especially on memory), and require thinking in streams
- Advanced experience with spatial data – beyond just storing lat/lons
- Spatial is a unique and important aspect of our data, and we frequently use polygons and advanced geometric operations to analyze the data
- Practical knowledge of embeddings and vectors, specifically in how to leverage them to solve useful problems
- Experience with Docker, which is somewhat ubiquitous for cloud applications
- Experience working with a complex and often poorly documented AWS ecosystem, where we host most of our cloud things
Benefits:
- Uber Eats stipend
- Healthcare
- Unlimited PTO
- Regular team retreats
- New hardware
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