Engineer Jobs at Decentral Games
There are 3 Web3 Jobs at Decentral Games
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Decentral Games | Los Angeles, CA, United States | $43k - $70k | |||
Decentral Games | Buenos Aires, Argentina | $58k - $66k | |||
Decentral Games | Buenos Aires, Argentina | $54k - $75k |
This job is closed
Decentral Games is a DAO focused on building NFT-based games. Up until now, crypto innovation has been heavily focused on trading and financial products; DG flips that by creating games that are not only fun and exciting, but also allows its players to own and control its future.
As a remote-first web3 company, we have a working environment that is playful, bold, and fast-focused (we don’t love unnecessary meetings). Together, we’re a team of entrepreneurs, futurists, artists, nerds, and gamers. Our motto is fun, hard working, and casual — you may even encounter a coworker known only as “Duck” or “Spicy Prawn”. That’s the metaverse for you!
Here at DG, you’ll be joining a team of super-talents building products in and out of the metaverse — and we’re only just getting started.
About the Role:
We recently launched our beta version of ICE Poker and it has quickly become the most popular game within our community. In just three months, we have seen our monthly revenue grow 10x, our discord community grow from 8k to 45k, and our ICE Poker venues are now the most popular destinations in the open metaverse.
In order to keep up the momentum, we are looking for a Data Engineer to analyze large amounts of raw information to find patterns that will help improve our gaming experience in ICE Poker.
You will use various methods to transform raw data into useful data systems. For example, you’ll create algorithms and conduct statistical analysis. Overall, you’ll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods. If you are detail-oriented, with excellent organizational skills and experience in this field, we’d like to hear from you.Responsibilities
- Identify valuable data sources and automate collection processes
- Undertake pre-processing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Combine models through ensemble modeling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development team
- Analyze and organize raw data
- Build data systems and pipelines
- Evaluate business needs and objectives
- Interpret trends and patterns
- Conduct complex data analysis and report on results
- Prepare data for prescriptive and predictive modeling
- Build algorithms and prototypes
- Combine raw information from different sources
- Explore ways to enhance data quality and reliability
- Identify opportunities for data acquisition
- Develop analytical tools and programs
- Collaborate with data analysts and architects on several projects