Our client is a well funded, early-stage, profitable startup in the data-as-a-service space. They are seeking a Data Engineer to build, scale, and monitor pipelines that process hundreds of terabytes of geospatial data daily, to join our fast-growing team. You'll be reporting directly to the CTO. This position will involve travel up to 20% of the time.

Their mission is to gather, curate, and deliver high-quality data to innovators in the Fortune 10, startups, and the public sector.

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
Contribute to building out the software engineering team
Own your destiny - Investigate, propose, and action your ideas to help us achieve our potential as a business
They're a remote-friendly company with team members in San Francisco, New York City, Salt Lake City. They full offices in NYC (Tribeca) and SF (SoMa).

Data Engineer - Part Remote