Senior Software Engineer - Python (Data & Integrations)

About this role:

As a critical member of the company’s engineering division, this Senior Engineer will develop new integrations and platform products while performing routine maintenance under the guidance of senior leadership. While your primary expertise lies in Python and building scalable software, we are looking for a true engineering enthusiast who thrives on technical variety rather than sticking to a single stack. In this role, you will leverage your strong Python foundation while utilizing .NET and C# as secondary tools to support our diverse ecosystem. With a deep understanding of AWS services such as Lambda, Kinesis, SQS, and DynamoDB, as well as database technologies such as PostgreSQL and MSSQL, you will work across the full stack to master our services, paving a clear path for future growth into senior and leadership positions.

Apply if you’re excited to:

• Design and develop Python, .NET and C# software conforming to best practices.
• Design and develop ETL solutions to scalably process and manage large volumes of data.
• Follow TDD and write well-structured, efficient, and maintainable code.
• Take ownership of work and follow through for on-time delivery.
• Optimize application performance and scalability.
• Troubleshoot, debug, and improve existing software applications, some of which are written using .NET, C#, and Python.
• Stay up-to-date with the latest Python, .NET and C# technologies and industry trends.

About You:

• Bachelor’s degree in Software Engineering or an equivalent qualification.
• Minimum of 4 years of full-time software development experience, including at least 1 year as a Senior Software Engineer.
• Proficiency in Python development, including high-volume ETL pipelines, data structures, design patterns, and test-driven development.
• Experience with Apache Airflow and AWS services. (Lambda, Kinesis, SQS, DynamoDB)
• Strong understanding of software development fundamentals, OOP, RDBMS, SQL, and Python best practices.
• Experience with databases (PostgreSQL, MS SQL) and cloud platforms. (AWS, GCP, Azure)
• Knowledge of version control (Git) and excellent problem-solving and debugging skills.
• Good professional communication skills in both written and spoken English, with the ability to work independently or as part of a team.