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Senior Data Engineer

Uniswap
New York, United States
Full time
$ 196k - $ 217k
Hybrid

About this job

Job category

Data Science & Analytics

Job type

Full time

Salary range

$ 196k - $ 217k

Location

New York, United States

Company size

Mature [ 50+ employess ]

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Job Description

Uniswap Labs seeks a Senior Data Analytics Engineer to design, implement, and optimize data analytics infrastructure. This role requires deep technical expertise and strong analytical skills to support data-driven decision-making.

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.

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.

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 and daily lunches at NY headquarters (all benefits are subject to applicable taxes and based on eligibility).
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