As a Senior Data Engineer, you’ll architect and maintain a highly flexible, enterprise-scale data warehouse that accelerates insights and minimizes redundant work. Leveraging deep expertise in data modeling, governance and Big Data technologies (Hadoop, Spark, Hive, etc.), you’ll design end-to-end ETL pipelines, optimize performance, and build metadata and quality monitoring frameworks.
Job listings
This role is ideal for someone who thrives at the intersection of data engineering and backend engineering, helping transform raw data into meaningful insights that drive business decisions across Sales and Revenue, Billing, Traffic, User engagement and behavior. Design and implement scalable data pipelines using Spark (Scala/PySpark) and manage workflows in Databricks.
This role sits at the intersection of quantitative finance, machine learning, and natural-language understanding, leveraging NLU techniques to mine news and social media for trading signals, building predictive models, and rigorously backtesting your strategies to drive data-driven investment decisions.
The Data Infrastructure team is looking for a world-class engineer. This role drives stability, scalability and efficiency for the Houzz data ecosystem and builds critical systems that provide insights to drive growth. The candidate will architect and implement across our suite of tools that includes data pipelines, event streaming, and data warehouse/data lake.
Working across all aspects of data from engineering to building sophisticated visualizations, machine learning models and experiments. Producing institutional grade data insights reports on macro trends as well as sector trends, including DeFi, NFT, Gaming, Metaverse, L1/L2 and Middleware etc, for both internal and external clients. Analyze and interpret large volumes of on-chain transactional and operational data using proprietary and open source data tools, platforms and analytical tool kits.
Work with both established RDBMS systems as well as innovative big-data technologies, playing a key role as a domain expert in database design, operation, and optimization. Collaborate with development teams to optimize database performance for mission-critical applications. Rigorously monitor, troubleshoot, and resolve complex database issues to ensure optimal system performance.