Python Engineer - Remote

Role: 

• Build and deliver investment data technology solutions in support of Research, Portfolio Management, Trading, Analytics and Reporting functions.
• Formulate, design, develop, test, and deliver data technology solutions with a balanced focus on speed and quality.
• Collaborate with business analysts, product owners, and project managers to develop user stories, estimates, and work plans.
• Work with minimal supervision and advise business clients and IT management of technology capabilities and recommend strategies to maximize the benefits of new technologies.
• Identify, design, and implement changes to data pipelines at various stages including data ingestion, data validation, and quality control, data integration, storage, management, and data delivery.
• Write unit/integration tests, contribute to engineering wiki, and write detailed documentation
• Build high-performance and scalable data-transfer toolsets which reliably transfer datasets between endpoints within established SLA's.
• Focus on data consistency, refresh rates and caching requirements while keeping the data current across a variety of interfaces.
• Build and enhance CI/CD pipelines and develop supportable solutions. Participate in code and design reviews.
• Provide technical troubleshooting and support for production systems.

Qualifications:  

• Bachelor's degree in engineering, math, computer science, or a related field, or equivalent work experience.
• 4-5 years of programming experience in Python (open source) or equivalent.
• Proficiency in building RESTful APIs and web services.
• 4-5 years of SQL experience.
• Proven track record of leveraging SOLID principles and Domain Driven Design to drive successful outcomes.
• Experience in high performance and high availability data applications including expertise in performance optimization and tuning.
• Experience with automated acceptance testing and ability to write unit-tested, maintainable code.
• Strong understanding of cyber security risks and demonstrated ability to design and build highly secure applications.
• Experience working in a dynamic and interactive team environment to build world-class software implementations.
• Knowledge of best practices and IT operations in an always-up, always-available service.
• Experience working with both Agile/Scrum and waterfall methodologies with a software development and integration focus.

Preferred Competencies: 

• Master's degree in engineering, math, computer science, or a related field
• Proficiency with NoSQL database implementation and optimization
• Ability to work on multiple programming languages and platforms is strongly preferred
• Financial services industry knowledge or experience

• Kafka
• Airflow
• PostrgeSQL
• Ansible
• Elastic Stack
• RabbitMQ
• Redis
• Docker
• Okta, OAuth2, PlainID