Senior Data Engineer [Remote]


Full Time Senior-level / Expert USD 76K - 150K *
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About Pocket Worlds
Our mission is to make the metaverse a reality and our vision is a decentralized virtual world built and owned by its citizens.
We have been working towards this mission for a decade. We are the creators of Highrise, the first virtual world on mobile, which has seen extraordinary growth over the last few years and now boasts over 20 million users across iOS and Android. Every day, the citizens of Highrise come together to hangout, explore, create, collect, and trade digital assets in our metaverse, and this has all flourished despite the constraints of Web 2.0.
This was only the first chapter in our story, and we are on the precipice of making history once again with Web3 and Highrise World.

About This Role
In this role as the first Data Engineer on the Pocket World’s Data Science team, your primary responsibility will be to partner with key stakeholders, data scientists and software engineers to support and enable the continued growth critical to Pocket Worlds.
You will be responsible for creating the technology and data architecture that moves and translates data used to inform our most critical strategic and real-time decisions. You will also help translate business needs into requirements and identify efficiency opportunities. In addition to extracting and transforming data, you will be expected to use your expertise to build extensible data models, provide meaningful recommendations and actionable strategies to partnering data scientist for performance enhancements and development of best practices, including streamlining of data sources and related programmatic initiatives. The ideal candidate will have a passion for working in white space and creating impact from the ground up in a fast-paced environment. 

As Senior Data Engineer, you will...

  • Create and maintain a data engineering pipeline.
  • Build jobs and tools to provide actionable insights into key metrics.
  • Debug discrepancy issues that come up in the ETL like misaligned metrics with external partners.
  • Integrating data from multiple sources across the internal and external ecosystem.
  • Work closely with the engineering, product, and marketing team to strive for greater functionality in our data systems.
  • Be responsible for data quality assurance.

To be successful in this role, we'd expect you to…

  • Have at least 4 years of experience building and optimizing data pipelines, architectures and data sets.
  • Have strong SQL skills.
  • Have experience with AWS cloud services including Redshift, EC2.
  • Have experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Be experienced in relational SQL and NoSQL databases, including Redshift, Postgres, Redis, and MySQL.
  • Be able to work well in a remote development environment.
  • Be highly communicative and go out of your way to contribute to the team and help others,
  • Bonus point for previous experience working with gaming, ad tech or publishing data sets is considered an asset.
Our goal is to define the future of the metaverse with the product we build, and to grow from tens of millions to billions of users in the process.
Join us on this journey and together we will build something incredible.

* Salary range is an estimate based on our salary survey at

Tags: AWS Big Data Data pipelines EC2 Engineering ETL Hadoop Kafka MySQL NoSQL Postgres Redshift Spark SQL

Region: Europe
Country: Poland
Job stats:  3  0  0
Category: Engineering Jobs
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