Senior Data Analytics Engineer

Uniswap Labs-posted 3 months ago
$196,000 - $217,000/Yr
Full-time • Senior
New York, NY
501-1,000 employees
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We are seeking a highly skilled and experienced Senior Data Analytics Engineer to join our dynamic data engineering team. The ideal candidate will be responsible for designing, implementing, and optimizing our data analytics infrastructure to support our data-driven decision-making processes. This role requires deep technical expertise, a passion for working with data, and strong analytical skills. We are headquartered in SoHo, New York City, and this role can be partially or fully remote.

  • Design, develop, and maintain scalable data pipelines to manage and transform large amounts of on-chain and off-chain data that make data insights widely available across the company
  • Optimize data storage and retrieval processes for performance and scalability.
  • Implement data validation and monitoring processes to ensure data accuracy and consistency.
  • Conduct regular audits and data quality assessments to identify and resolve data issues.
  • 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 and product strategy.
  • 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.
  • 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 with Bachelor’s degree, or 3 years of experience with Master’s degree
  • 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.
  • Experience with cloud data platforms (e.g., AWS, GCP, Azure).
  • Knowledge of machine learning and data science techniques.
  • 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
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