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Senior Data Engineer
Toronto, ON
Engineering /
Remote /
Remote
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Sequence is the award-winning all-in-one development platform for integrating web3 into games. Onboard, monetize, grow, and retain your players with our industry-leading technology. From collectibles and ownable rewards to fully on-chain experiences, Sequence’s modular stack solves technical challenges, allowing developers to concentrate on creative execution using our solutions: Sequence Builder, seamless smart wallet solutions, Marketplaces, Minter, Payments, Analytics, Indexer, Gas Tank and Relayer, Node Gateway, SDKs for mobile, Unity, and Unreal Engine, and more.
Trusted by a growing ecosystem of web3, web2.5, and traditional games, Sequence is a well-capitalized company backed by some of the most prestigious investors in the gaming and web3 world, including Take-Two Interactive, Ubisoft, Xsolla, Bitkraft, Brevan Howard, Coinbase, Polygon, and others. Founded in 2018 as part of Horizon, our world-class team consists of gaming and tech industry veterans, leaders in the web3 space, engineers who have built wildly popular open source applications and standards, and founders who have built and sold successful companies.
About the Role
As a Senior Data Engineer, you will be responsible for evolving, designing, and implementing our data systems.
The end goal is to flexibly pull data from a myriad of sources into a single source of truth, and make it accessible and useful to everyone on the team, efficiently.
You’ll report to our Head of Data and Analytics to evolve and streamline our current data system to accommodate an ever-growing array of product and blockchain data. We imagine the headcount to grow over time, and for you to be leading those data engineers as well.
Given our size, this is a hands-on role, and you will be expected to work alongside our engineers closely.
Our data system is important to everyone in the company, and this is a high impact role. You will have a lot of autonomy, but be supported by genuinely good people. And you’ll really get a chance to design a foundational component of our stack in web3, the next iteration of the internet.
Responsibilities
- Ensure all teams are drawing data from a single source of truth
- Work with our current systems in GCP, Clickhouse and dbt, and help evolve them
- Ensure data integrity, so that data from many sources are transformed into a useful format, and is correct
- Automate as much of the data pipeline as possible
- Quickly debug data discrepancies
- Scale our data capacity by 10x for the next 2-3 years
- Data instrumentation and Implement tooling in Go and Typescript so all engineers can meter products with client libraries
- Design data backup and recovery protocols
- Ensure the data can be easily digestible, and usable, using a BI tool like Looker or Superset within an acceptable period of time (realtime, daily, monthly, yearly)
- Help guide a small team of data engineers on roadmap, design, and implementation
Skills & Experience
- 3-5 years relevant industry experience
- Strong working knowledge of at least one data warehouse like Snowflake, Redshift, Clickhouse, etc.
- Ability to work cross-functionally well with other stakeholders and teams
- Strong programming skills, and not just a hacker
- Ability or high-willingness to quickly learn about blockchain technology, its data structures, schema, and ecosystem
- Excellent SQL skills and experience with ETL using tools such as dbt
- Experience with distributed log systems like Kafka, Spark, etc. a plus
- Expertise working with large software systems in one of the major cloud providers: AWS, Google Cloud, Azure
- Strong understanding of building fault-tolerant, scalable systems
- Experience with blockchain data operations
- Experience with at least one scripting language (Python, bash, Ruby, etc.)
- Big plus if you have experience working with Go, Typescript, or similar derivatives
- Interest in web3
$120,000 - $150,000 a year
Why Horizon?
- A chance to deliver massive impact at a small and quickly growing company
- Work on hard, big, meaningful problems that can shift markets
- Competitive salary and equity package
- Accelerate your career by joining at the early stages
- Be part of defining web3, the next generation of the Internet, and creating symbiotic economies where both users and creators share in the value generated by networks
- Work with an outstanding team made of wonderful people who have built and sold successful companies, launched amazing products, and have rich experience in infrastructure, architecture, blockchain, games, finance, investing, strategy, consulting, design, marketing, community, and more.
- Work-life balance unlike the “crunch” culture you find at larger studios
- New PC, and generous allowance for work-from-home setup for full time employees
- Extensive health benefits for Canadian employees
- We’re conscious about mental health and have modern vacation policies
- We invest in everyone’s personal development
- Learn more about our values and the traits we embody at https://careers.horizon.io/
We are committed to diversity and encourage applicants from all backgrounds, genders and faiths.
While we're building incredible products, we also want to add to our wonderful team and company. The best way to do that is to attract talented folks from all areas and to have their experiences inform their work.
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What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.