Get an edge in every mass tort litigation with the fastest and smartest case review and analytics platform.
25+ employees
Artificial IntelligenceLegalHealthcareSoftware
Role
Who you are
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
Desirables
AWS experience
GraphQL proficiency
TypeScript knowledge
Elasticsearch knowledge
What the job involves
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
Meet Pattern Data: the AI-driven platform transforming mass tort case evaluations and settlements. Our software analyzes thousands of medical records in minutes, swiftly categorizing documents and surfacing key information to streamline case reviews and preparation for MDL settlements.