Pattern Data
Pattern Data is a company that specializes in providing AI-powered legal technology solutions, particularly focused on mass tort litigations. Their platform leverages artificial intelligence to automate and expedite the review of medical records, helping legal teams build evidence more efficiently and accurately. By digitizing, analyzing, and categorizing client data, Pattern Data helps improve law firm operations and enhances strategic decision-making. Trusted by leading law firms, their software significantly speeds up case reviews, settlements, and overall litigation processes.
Senior Data Engineer
July 29, 2024
Pattern Data
Pattern Data is a company that specializes in providing AI-powered legal technology solutions, particularly focused on mass tort litigations. Their platform leverages artificial intelligence to automate and expedite the review of medical records, helping legal teams build evidence more efficiently and accurately. By digitizing, analyzing, and categorizing client data, Pattern Data helps improve law firm operations and enhances strategic decision-making. Trusted by leading law firms, their software significantly speeds up case reviews, settlements, and overall litigation processes.
📋 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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