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Engineering Manager- Backend (Data)

Posted about 2 months agoViewed

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💎 Seniority level: Manager, 5+ years in software/data engineering roles, with at least 2 years of engineering management experience.

📍 Location: United States

💸 Salary: 240000 - 275000 USD per year

🔍 Industry: Cryptocurrency and blockchain

🏢 Company: Uniswap Labs

🗣️ Languages: English

⏳ Experience: 5+ years in software/data engineering roles, with at least 2 years of engineering management experience.

🪄 Skills: LeadershipProject ManagementPythonSQLAgileBlockchainETLData engineeringCommunication SkillsCollaborationProblem Solving

Requirements:
  • 5+ years in software/data engineering roles, with at least 2 years of engineering management experience.
  • Strong proficiency in data engineering (e.g., Python, SQL, data processing frameworks, serving frameworks).
  • Familiarity with blockchain data structures and APIs is a plus.
  • Proven ability to build and lead high-performing engineering teams.
  • Excellent communication skills, capable of articulating complex technical concepts to both technical and non-technical audiences.
  • Experience managing agile workflows and prioritizing tasks effectively.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
Responsibilities:
  • Supervise, mentor, and grow a team of data and software engineers, promoting an inclusive and high-performance culture.
  • Provide strategic and technical direction to build, maintain, and enhance data pipelines and ETL processes.
  • Oversee the extraction and transformation of blockchain and other data sources, ensuring quality and accuracy.
  • Work closely with frontend, trading, and product teams to ensure efficient data flow and integration.
  • Plan, prioritize, and manage projects, ensuring timely and quality delivery of key features.
  • Drive initiatives to optimize data retrieval and processing, enhancing the performance of our systems as data volumes grow.
  • Troubleshoot and resolve complex data-related challenges in a timely manner.
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