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Data Engineer
2 days ago
Description
• Paradigm is rebuilding the clinical research ecosystem with a platform for equitable trial access. • The Data Engineering team constructs infrastructure for clinical care data from multiple sources. • Collaborate with ML & Data Science teams to enhance patient-matching heuristics. • Work closely with product and data consumers to improve data quality and completeness. • Take ownership of critical system components for performance and reliability.
Requirements
• 3-5 years of experience in data and/or software engineering • Demonstrated ability to drive technical projects, prioritize work, identify dependencies, facilitate technical decisions, and engage in cross-functional team discussions • Proficiency in SQL and data analysis • Experience in system design and data workflow optimization • Proficient coding skills in Python, Java, Kotlin, Scala or other relevant languages • Experience with ETL orchestration tools like Apache Airflow and Dagster • Knowledge of data transformation tools like DBT or dataform • Experience with data warehouse DBs (such as BigQuery, Redshift, Snowflake, etc…) • Experience in designing and implementing scalable, available, maintainable, and performant systems
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