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Sr Data Engineer
Responsibilities
- Design, build, and maintain complex ETL/ELT pipelines and data workflows using Snowflake, dbt, Airflow, and Meltano within our AWS-based infrastructure.
- Ensure high availability, scalability, and security of data services running on our own infrastructure—supporting batch and real-time data processing needs.
- Collaborate closely with analytics, product, and engineering teams to translate business requirements into effective data models, KPIs, and dashboards using Metabase and Segment.
- Develop automated solutions for ingesting, transforming, and modeling blockchain, gaming telemetry, and user interaction data to drive actionable insights.
- Participate in cross-functional initiatives to evolve our data platform architecture and enable data democratization across Decentraland.
- Explore innovative approaches to capturing and leveraging decentralized data aligned with the blockchain and gaming domains.
The Requirements
- 5+ years of hands-on experience as a data engineer or similar role focused on large-scale data infrastructure.
- Advanced proficiency with Python for building data pipelines and automation.
- Expertise building and optimizing data warehouses and transformations on Snowflake and dbt.
- Strong experience orchestrating workflows with Apache Airflow and managing data ETL/ELT pipelines.
- Deep knowledge of AWS services related to data processing and storage.
- Familiar with modern data stack components such as Meltano, Metabase, and Segment, including deployment and monitoring on own infrastructure.
- Proven ability to collaborate effectively with cross-functional teams and communicate technical concepts clearly.
- Demonstrated experience extracting, processing, or integrating blockchain data is highly desirable.
- Passion for working in the blockchain/gaming industry and decentralized architectures.
The nice-to-haves
- Experience with telemetry tools like Prometheus and implementing observability for data systems.
- Open source contributions related to data engineering or blockchain.
What we offer:
- A fully remote and flexible working environment.
- A collaborative and fast-moving team culture.
- 29 annual PTOs.
- Long-term incentive of MANA tokens, vested over a 4-year period.
- Additional tokens linked to annual performance review.
- Stipend policy to cover remote work & wellness-related expenses.
- Brand-new equipment for remote work, including laptop, screen and chair.
- Parental leave.
- Reimbursement for English/Spanish lessons
- Annual team offsite
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.