Python Software Engineer

• Develop and model out entities that closely mirror real-world processes.
• Design systems, using pragmatism and principles (SOLID, design patterns).
• Build data pipelines that comprehensively extract and transform data.
• Measure, monitor, and analyze the performance and quality, in order to improve data integrity.
• Integrate machine learning models and platforms into the data platform.
• Collaborate cross-functionally.
• Deliver complex product features in a fast environment with limited requirements.

Qualifications:

• 5+ years of experience as a professional software engineer.
• 4+ years of experience working within the modern python ecosystem (lxml, SQLAlchemy, pydantic, etc...).
• 3+ years of developing applications that ingest XML and/or unstructured data. Experience using XSD's is a plus.
• 2+ years of working directly with a SQL-like database (PostgreSQL preferred, Oracle, etc…).
• 2+ years of developing eventing infrastructure (Kafka, Confluent, RabbitMQ, etc...).
• 2+ years of orchestration tool for data pipelines (Argo, Airflow, etc...).
• 1+ years working with Kubernetes (any cloud deployment GKE (Google Kubernetes Engine) is a plus).
• 1+ years of developing with Java microservice applications (Spring Boot strongly preferred).
• Must have strong background with Object-Oriented programming.
• Previous experience working with government data feeds is strongly preferred.
• Previous experience developing web scrapers (scrapy, beautiful soup, etc…) is a plus.
• Previous experience developing machine learning models is a plus.
• You are passionate and curious about how different laws are created and published.
• You write code that is understandable, simple, clean and elegant.
• You enjoy autonomy, operate with self-direction, but appreciate working with a team.