Senior Data Analytics Engineer | Uniswap Labs | Remote (United States)

<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">The Uniswap Labs team is building products to unlock value through universal exchange. We envision a future where digital economies flourish, and markets are transparent, global, and equitable.</p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">Our products – the Uniswap Interface, the Uniswap Mobile App, and the Uniswap Extension – are powered by the Uniswap Protocol and Uniswap Platform. The protocol is the largest onchain marketplace, with billions of dollars in weekly volume across thousands of tokens on Ethereum and 8+ additional chains.</p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">When you join Uniswap, you become part of a team that&#8217;s reshaping the way value flows on the internet.</p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">About the role</strong></p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">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.</p>
<h3 class=" text-white font-semibold text-lg mb-2"><strong class=" font-semibold">Key Responsibilities</strong></h3>
<h3 class=" text-white font-semibold text-lg mb-2"><strong class=" font-semibold">Data Infrastructure Development:</strong></h3>
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<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Design, develop, and maintain scalable data pipelines to collect, process, and store large volumes of structured and unstructured data.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Implement data integration solutions to consolidate data from various sources, ensuring data quality and integrity.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Optimize data storage and retrieval processes for performance and scalability.</span></li>
</ul>
<h3 class=" text-white font-semibold text-lg mb-2"><strong class=" font-semibold">Analytics and Reporting:</strong></h3>
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<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Develop and maintain data models, dashboards, and reports to support business analytics and decision-making.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and provide robust solutions.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Conduct exploratory data analysis to discover trends, patterns, and insights that drive business strategy.</span></li>
</ul>
<h3 class=" text-white font-semibold text-lg mb-2"><strong class=" font-semibold">Data Quality and Governance:</strong></h3>
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<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Implement data validation and monitoring processes to ensure data accuracy and consistency.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Establish and enforce data governance policies and best practices.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Conduct regular audits and data quality assessments to identify and resolve data issues.</span></li>
</ul>
<h3 class=" text-white font-semibold text-lg mb-2"><strong class=" font-semibold">Collaboration and Communication:</strong></h3>
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<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Work closely with cross-functional teams, including product, engineering, and business teams, to understand data requirements and deliver solutions that meet business needs.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Communicate complex data insights and technical details to non-technical stakeholders effectively.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Provide technical guidance and mentorship to junior data engineers and analysts.</span></li>
</ul>
<h3 class=" text-white font-semibold text-lg mb-2"><strong class=" font-semibold">Continuous Improvement:</strong></h3>
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<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Stay current with the latest trends and technologies in data engineering and analytics.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Continuously evaluate and implement new tools and technologies to improve data processing, analysis, and visualization capabilities.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Drive the adoption of best practices in data engineering and analytics across the organization.</span></li>
</ul>
<h3 class=" text-white font-semibold text-lg mb-2"><strong class=" font-semibold">Qualifications</strong></h3>
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<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">5+ years of experience in data engineering, data analytics, or a related field.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL).</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with big data technologies (e.g., Hadoop, Spark) and data warehousing solutions (e.g., BigQuery, Snowflake).</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Proficiency in programming languages such as Python or Scala.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with data visualization tools (e.g., Tableau, Power BI, Looker).</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Strong understanding of ETL processes, data modeling, and data warehousing concepts.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Excellent problem-solving skills and attention to detail.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Strong communication and interpersonal skills, with the ability to work effectively in a collaborative environment.</span></li>
</ul>
<h3 class=" text-white font-semibold text-lg mb-2"><strong class=" font-semibold">Preferred Qualifications</strong></h3>
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<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with cloud data platforms (e.g., AWS, GCP, Azure).</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Knowledge of machine learning and data science techniques.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink).</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Relevant certifications in data engineering or analytics.</span></li>
</ul>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><em>Minimum full-time salary of $196,000- $217,000.</em> <em>Disclosure in accordance with New York City&#8217;s Pay Transparency Law.</em> <em>Full Time employees at Uniswap Labs are also eligible for other compensation elements, including equity, tokens, and benefits, dependent on the position type.</em></p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><em>Uniswap Labs&#8217; Full-Time employee benefits include company-paid medical, dental, &amp; 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).</em></p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><em>Uniswap Labs is committed to diversity in our workforce and is proud to be an Equal Opportunity Employer (EEO). We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability (including gender dysphoria and similar gender-related conditions), sex, gender identity or expression, sexual orientation (including actual or perceived heterosexuality, homosexuality, bisexuality, and asexuality), veteran status, military status, domestic violence victim status, reproductive health decision making or any other protected category. In addition, Uniswap Labs participates in E-Verify. You can view the E-Verify poster <a href="https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf" target="_blank" class="break-all font-medium underline hover:opacity-75" rel="noopener noreferrer nofollow">here</a> and the Right to Work poster <a href="https://www.justice.gov/crt/case-document/file/1133936/dl" target="_blank" class="break-all font-medium underline hover:opacity-75" rel="noopener noreferrer nofollow">here</a>.</em></p>