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Ethena Labs | Remote | $98k - $103k | |||
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Ethena Labs
$98k - $103k estimated
Senior Data Engineer
Globally Remote
Ethena Labs – Engineering /
Globally Remote /
Remote
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Who We Are and What We are Doing:
Ethena Labs is actively building and deploying a suite of groundbreaking digital dollar products aiming to upgrade money into the internet era.
Our flagship product, USDe, is a synthetic dollar backed by digital assets, and takes the novel approach of using a delta-neutral hedged basis strategy to maintain its peg. This product scaled from zero to $15b in 18 months.
Expanding on this, iUSDe is designed specifically for traditional financial institutions, incorporating necessary compliance features to enable them to access the crypto-native rewards our protocol generates, in an institutional-friendly manner.
Ethena has also developed USDtb: a fiat backed GENIUS compliant stablecoin in partnership with BlackRock which has scaled to ~$2b.
These products are also offered in a whitelabel stablecoin offering where any application, chain, wallet or exchange can launch their own stablecoin on Ethena's back-end infrastructure.
Through these offerings, Ethena Labs is not just creating new financial products; we are building the foundational infrastructure for a more open, efficient, and interconnected global financial system.
Open job offerings will be focused on two new major product lines coming to market in the next few months.
Join us!!
The Senior Data Engineer is a critical role reporting directly to the CTO. The primary mission is to rapidly deliver a reliable, production-ready market data platform that serves as the single source of truth for trading, risk, and business intelligence.
You’ll immediately own the entire data platform from inception and deliver working historical and real-time Tardis pipelines in the first 60 days. Beyond the initial MVP, the role requires iteratively evolving the platform into a best-in-class, cloud-native, observable, and self-service system. You will work hand in hand with the CTO & trading team to scope & deliver to business needs. The Senior Data Engineer will also serve as the go-to data expert for the firm and will be responsible for mentoring future junior data engineers or analysts.
What You’ll Do
- Rapidly spin up the cloud environment. Deliver working historical backfill pipelines from Tardis.dev into a queryable database.
- Deliver a real-time Tardis WebSocket pipeline, ensuring data is normalized, cached for live consumption, accurate, replayable, and queryable by Day 60.
- Ensure all pipelines are idempotent, retryable, and use exactly-once semantics. Implement full CI/CD, Terraform, automated testing, and secrets management.
- Implement proper observability (structured logs, metrics, dashboards, alerting) from day one. Provide immediate self-service access to the MVP database for Trading and BI teams via tools like Tableau/Metabase, and through simple internal REST APIs.
- Develop specialized timeseries data, including USDe backing-asset and a full opportunity-surface timeseries for Delta-neutral/lending/borrow opportunities.
- Ingest data from additional sources (Kaiko, CoinAPI, on-chain via TheGraph/Dune). Plan for 10x+ data growth via schema evolution, partitioning, and performance tuning. Establish enterprise-grade governance, including a data quality framework, RBAC, audit logs, and a semantic layer.
- Create full architecture documentation, runbooks, and a data dictionary. Onboard and mentor future junior staff.
What We’re Looking For
- Proven track record of delivering working, production data in weeks, not months, with the ability to ruthlessly cut scope to hit a 60-day MVP while managing technical debt.
- Have built Tardis historical and real-time pipelines before (or equivalent high-quality crypto market data feeds), understanding specific quirks, rate limits, and WebSocket structures.
- Expert in large-scale, reliable ETL/ELT for financial or market data.
- Fluent in provisioning full environments with Terraform in days and expert in AWS/GCP serverless technologies.
- Expert Python and SQL skills and proficiency with time-series databases like TimescaleDB or ClickHouse, ensuring fast queries from day one.
- Advanced knowledge of WebSocket clients, message queues, and low-latency streaming, GitOps, automated testing/deploy and observability practices.
- Significant understanding of stablecoins, lending protocols, and opportunity surface concepts, or a proven ability to ramp up extremely quickly.
Why Ethena Labs?
You'd be joining a group that has well established itself as one of the most successful crypto-native company's of all time, a group with a mission to revolutionise decentralised finance and it's position in global finance.
Work alongside a passionate and innovative team that values collaboration and creativity.
Enjoy a flexible, remote-friendly work environment with established opportunities for personal growth and learning.
If you subscribe to the mission of separating the dollar from the state, then we want to hear from you!
We look forward to receiving your application and will be in touch after having a chance to review.Â
In the meantime, here are some links to more information about Ethena Labs to help you check us out:
Website
Twitter/X
LinkedIn
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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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.