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Data Engineer

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Veraset, a division of SafeGraph, is looking for a Data Engineer to build, scale, and monitor pipelines that process hundreds of terabytes of geospatial data daily, to join our fast-growing team.

Veraset is a well funded, early-stage, profitable startup in the data-as-a-service space. You'll be reporting directly to the CTO. This position will involve travel up to 20% of the time.

Who you are:

* You are excited about the idea of leveraging open-source and proprietary technologies to build massive pipelines that process billions of rows of geo-location data
* You want to join a well funded, profitable, early stage data startup
* You have a strong GTD mindset and problems in an effective and scalable way
* You can work and communicate effectively with technical and non-technical colleagues
* You don’t need supervision to thrive - you think in first principles, know the right questions to ask, and can develop and execute on a vision

What you’ve done:

* You’ve spent 2-4 years experience in a technical role at a cutting-edge technology company
* You have a strong engineering background in a technical discipline - ideally Computer Science, Engineering, Physics, Math, Data Science, or Statistics
* You’ve built pipelines that process massive amounts - ideally hundreds of TBs - of data in the past and know your storage and analysis technologies well
* You’ve worked tirelessly to optimize the ETL (extracting, transforming, and loading) pipelines you’ve built and can speak credibly to the challenges and solutions you’ve developed
* You’ve become comfortable working in one of Java, Scala, or Python
* You’ve worked with distributed system, cloud technologies, and open-source technologies like Spark, Cassandra, Kafka, Elastic Search, Airflow, Hadoop
* You *actually* know SQL

What you’ll do:

* Help architect, create, manage, and optimize Veraset’s massive, geospatial, data pipeline
* Build analytics around the core pipeline to provide actionable insights into key metrics such as customer acquisition, data insight generation, or operational efficiency
* Dive-deep into the data to gain key insights and proposed scope expansions to grow our business
* Collaborate cross-functionally with our customer, sales, and product teams
* Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc...
* Work with our leadership to help craft the direction of the data and architecture at Veraset
* Contribute to building out the software engineering team at Veraset
* Own your destiny - Investigate, propose, and action your ideas to help us achieve our potential as a business

Who we are:

* Veraset is a B2B company that sells data to data scientists and machine learning engineers
* Our mission is to gather, curate, and deliver high-quality data to innovators in the Fortune 10, startups, and the public sector. Customers have used our data to:

** Aid in disaster relief
** Inform equity trading decisions
** Determine how far people will travel to restaurants based on type of cuisine
** Select ideal real estate sites
** Create advertising audiences
** Quantify the effectiveness of advertising campaigns
** In-app personalization
** City Planning

* Veraset is affiliated with SafeGraph. SafeGraph raised a $20 million Series A in 2017 and is profitable
* We’re a remote-friendly company with team members in San Francisco, New York City, Salt Lake City. We have full offices in NYC (Tribeca) and SF (SoMa).

How we think about the world:

* SafeGraph Vision and Values (blog.safegraph.com/safegraph-vision-and-values-circa-2017-d188d4185df2)
* Open Information to Power Innovation (blog.safegraph.com/we-need-open-information-to-power-innovation-d60f44c74ed6)
* Where Should Machines go to Learn (blog.safegraph.com/where-should-machines-go-to-learn-c2461f7e45fc)
* Data-As-A-Service Bible: Everything You Wanted to Know About Running DaaS Companies (blog.safegraph.com/data-as-a-service-bible-everything-you-wanted-to-know-abou…)

Don't fit this description perfectly but still think this is the role for you? Apply and let us know why!






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