Lead Data Engineer
We usually respond within three days
We're the foundation and core team whose mandate is to build and grow our protocol ecosystems.
We are looking for a data engineer to help design and scale our data infrastructure. We are a data-driven organization and view the data pipelines that influence these decisions as essential team infrastructure. Your role will include architecting and building that infrastructure as well as working with the data analysts who rely on the pipeline. You'll be predominately focused on the Across protocol for the foreseeable future but there is an opportunity to work across the UMA protocol as well.
We believe that many different candidates could be a good fit for this role. Maybe you have a background in building data pipelines at a TradFi or technology firm and looking for your first blockchain related job. Perhaps you have focused mainly on backend development but have a deep familiarity with how blockchain data is organized and processed. Most importantly, we are looking for someone who has deep expertise in building out ETL pipelines and working with data.
Responsibilities
- Indexing complex onchain data: Design systems that index complex onchain data for ease of use and speedy access. Gas efficient protocols rely on indexing to keep user experiences snappy, pleasant, and cheap.
- Data engineering: Design and develop large-scale data pipelines to provide the data which drives our understanding of users and our protocol’s real-world performance.
- Code review and mentorship: Write code in a highly collaborative open source ecosystem. As much of your day will be spent reviewing and designing code as it will be writing new code. We take pride in writing clean code.
- Leading and Scaling teams: Manage priorities, scope deliverables, and project manage alongside various stakeholders. Be willing to think strategically about team coaching and structure, while also getting your hands in the weeds with data engineering work.
- Data Analysis and Research: Translate business problems into scalable engineering solutions, based on a strong intuition and an ability to see beyond just technical requirements but a more holistic picture based on analysis, research, data, and the data engineering knowledge.
- Product mindset: naturally curious to dive deep and understand what the business needs, collaborating with product management, data science, engineering, marketing, etc to drive impact through data
Requirements
- 4+ years full-time experience in Data Engineering at a software, financial services, or related technology organization
- 2+ years of experience with databases and data pipelines
- 1+ years of experience managing people or teams (bonus if you’ve been part of leading teams through scale)
- Outstanding critical thinking skills;
- Low ego, high curiosity and comfort in being wrong
- Strong coaching and communication skills
- Excellent organizational skills, attention to detail, and time management
- Demonstrated ability to learn new tech and write secure and clean code
- Passion for blockchain technology, cryptonomic protocol design, game theory, and decentralized finance
- Growth mindset; a desire to learn from and mentor those around you
Compensation & Package
Compensation and Benefits
- Pay packages include competitive salaries & meaningful token options;
- Salaries for this role range from $120-190k (USD), and your token allocation can grow with your voting rewards while you participate in the growing ecosystem;
- Will pay in stablecoins or fiat;
- Philosophies for a culture that show we care: Take vacation when you need it, family care, training and development (just to name a few)
- 100% remote, which means we encourage you to create the work environment that you thrive in
- At least two team wide offsites a year
Location
Remote - Based in US or Europe
- Job category
- Data | Business Intelligence
- Locations
- United States
- Remote status
- Fully Remote
- Yearly salary
- $120,000 - $190,000
- Employment type
- Full-time
- Industry
- Blockchain
- Required Experience
- 4+ Years
- Company Size
- 11 - 50 Employees
- Work Sponsorship
- Unavailable
Lead Data Engineer
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