Uniswap is hiring a
Senior Data Engineer

Summary

Join Uniswap Labs, a team building products to unlock value through universal exchange, as a Senior Data Analytics Engineer. Design, implement, and optimize data analytics infrastructure to support data-driven decision-making processes.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field
• 5+ years of experience in data engineering, data analytics, or a related field
• Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL)
• Experience with big data technologies (e.g., Hadoop, Spark) and data warehousing solutions (e.g., BigQuery, Snowflake)
• Proficiency in programming languages such as Python or Scala
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
• Strong understanding of ETL processes, data modeling, and data warehousing concepts
• Excellent problem-solving skills and attention to detail
• Strong communication and interpersonal skills, with the ability to work effectively in a collaborative environment

Responsibilities

• Design, develop, and maintain scalable data pipelines to collect, process, and store large volumes of structured and unstructured data
• Implement data integration solutions to consolidate data from various sources, ensuring data quality and integrity
• Optimize data storage and retrieval processes for performance and scalability
• Develop and maintain data models, dashboards, and reports to support business analytics and decision-making
• Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and provide robust solutions
• Conduct exploratory data analysis to discover trends, patterns, and insights that drive business strategy
• Implement data validation and monitoring processes to ensure data accuracy and consistency
• Establish and enforce data governance policies and best practices
• Conduct regular audits and data quality assessments to identify and resolve data issues
• Work closely with cross-functional teams, including product, engineering, and business teams, to understand data requirements and deliver solutions that meet business needs
• Communicate complex data insights and technical details to non-technical stakeholders effectively
• Provide technical guidance and mentorship to junior data engineers and analysts
• Stay current with the latest trends and technologies in data engineering and analytics
• Continuously evaluate and implement new tools and technologies to improve data processing, analysis, and visualization capabilities
• Drive the adoption of best practices in data engineering and analytics across the organization

Benefits

• Company-paid medical, dental, & vision for you and your dependents
• Gym subsidy
• 401(k) with 4% employer contribution
• Annual $1,500 education stipend
• Unlimited and encouraged time off
• Up to 16 weeks paid parental leave
• Home office setup stipend for remote employees
• Daily lunches at NY headquarters (all benefits are subject to applicable taxes and based on eligibility)