Senior Data Engineer
July 29
🏡 Remote – New York
Description
• Responsible for the design, maintenance, and ongoing enhancement of Pattern’s data analytics pipeline • Design, develop, and maintain our data warehouse and ETL pipelines using technologies like Scala, PostgresQL, Airflow, and Python to ensure the accuracy, consistency, and reliability of our data • Operate within Pattern’s data warehouse, writing queries against large volumes of structured and unstructured information in PostgreSQL • Build tools to monitor the health and responsiveness of Pattern’s analytic products • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions
Requirements
• Bachelor's degree in Mathematics, Economics, Data Science/Analysis, Computer Science, or a related field, or equivalent certifications • Proven experience as a Data Engineer or similar role at an early stage startup • 5 + years working with SQL data sources, preferably PostgreSQL, with demonstrated success for both OLTP and OLAP workloads • Strong emphasis on data quality, monitoring, and transparency within reporting products • Passion for using data to solve problems, uncover new insights and trace underlying problems
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