Python Developer

Are you passionate about building scalable data platforms and enabling data-driven innovation?Do you enjoy leading technical decisions, mentoring engineers, and leveraging AI-powered development tools to deliver impactful solutions?

About our Team

At LexisNexis Intellectual Property Solutions, our mission is to bring clarity to innovation by delivering better outcomes to the innovation community. Each and every day, the work our team does supports the development of new technologies and processes that ultimately advance humanity. Helping our customers reach their goals is our primary focus. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations and ultimately achieve superior results. Our overall success is measured by how well we deliver these results. We are proud to directly support and serve these innovators in their endeavors to better humankind.

About the Role

As a Senior Software Engineer, you will lead the design, development, and operation of scalable data platforms, services, and infrastructure that power critical business outcomes. Working closely with analysts, data scientists, and engineers, you will drive technical excellence, mentor team members, and help shape the future direction of the Data Engineering function. This role offers the opportunity to combine strong engineering fundamentals with AI-assisted development practices to deliver reliable, high-impact solutions.

Responsibilities

• - Lead the design, build, and maintenance of data pipelines and backend services using Python
• - Write efficient, well-structured SQL for data extraction, transformation, and analysis, and set standards for query and schema design across the team
• - Develop and maintain APIs and services (e.g. using FastAPI and SQLAlchemy) to expose data to internal and external consumers
• - Own technical design decisions for data systems, balancing scalability, reliability, and maintainability
• - Collaborate with data analysts, scientists, and other engineers to understand data needs and deliver reliable solutions
• - Drive the design and upkeep of infrastructure supporting data workloads (containers, orchestration, provisioning)
• - Monitor, troubleshoot, and improve the performance and reliability of existing data systems, including leading incident response and root-cause analysis where needed
• - Mentor other engineers, lead code reviews, and help raise the technical bar across the team

Requirements

• - Deep proficiency in Python for building applications, pipelines, or services at scale
• - Strong SQL skills, writing performant queries, designing schemas, and optimizing for large or complex datasets
• - Experience developing and maintaining APIs and services, including background in Databricks and Terraform.