The Public Interest Company

Data Engineer

• Design, build, and maintain data pipelines using SQL, Python, dbt and Databricks.
• Conduct regular data quality checks to ensure accuracy and integrity for downstream users.
• Proactively identify data issues and develop custom solutions.
• Monitor pipeline performance and tune processes to improve efficiency.
• Work with cross-functional teams to understand data requirements and incorporate them into the data framework.
• Actively participate in discussions, offering input and feedback to drive continuous improvement.

Full-stack Engineer

• Design and implement backend services, APIs, and orchestration workflows that support claim identification, case routing, and operational processes.
• Build scalable systems that interface with AI/ML models, legal datasets, and large volumes of transactional and healthcare data.
• Develop durable, fault-tolerant workflows using Temporal and related tooling.
• Create clean, maintainable, and high-performance code using Python (FastAPI) and TypeScript (Next.js).
• Maintain and optimize cloud infrastructure in AWS, leveraging ECS, RDS (Postgres), Redis, and secure deployment pipelines.
• Collaborate with product and business stakeholders to translate operational needs into engineering solutions.
• Uphold engineering best practices, including testing, documentation, version control, and code review.
• Explore and evaluate new technologies that improve reliability or efficiency while maintaining simplicity and alignment with core engineering principles.

Data Engineer

Senior/Staff Software Engineer