Python Developer | Austin, TX, USA | Remote
Senior Python Engineer - Data Platform (Remote)
We're partnering with a highly regarded, technology-driven investment firm that builds innovative, research-backed financial products. Their engineering team is focused on developing scalable, high-performance systems that power critical investment decisions across research, trading, and portfolio management.
They're looking for a Senior Python Engineer to join their Data Distribution team, where you'll play a key role in building and optimizing a modern enterprise data platform.
Location: Fully remote (candidates must be based in North Carolina, Texas, or California)
The Role
As a Senior Python Engineer, you'll be working on a central investment data warehouse that supports core business functions including research, trading, analytics, and portfolio management.
This is a hands-on role where you'll:
• Design and build scalable data platforms and services
• Develop and optimize data pipelines end-to-end (ingestion → validation → delivery)
• Work closely with product, analytics, and engineering teams to deliver impactful solutions
• Build high-performance APIs and data transfer systems
• Contribute to architecture decisions and modern engineering best practices
• Support production systems and ensure reliability, availability, and performance
What You'll Be Doing
• Build and deliver data-driven applications and services
• Develop ETL pipelines and improve data architecture
• Design and implement RESTful APIs
• Ensure data quality, consistency, and performance
• Optimize systems for speed, scalability, and reliability
• Contribute to CI/CD pipelines, testing, and documentation
• Participate in code reviews and system design discussions
• Troubleshoot and support live production environments
What They're Looking For
• 5+ years of Python experience (open-source ecosystem preferred)
• Strong SQL skills and experience working with large datasets
• Experience building APIs and distributed systems
• Solid understanding of data engineering concepts and pipelines
• Experience building high-performance, scalable applications
• Strong grasp of software design principles (SOLID, DDD, etc.)
• Experience writing well-tested, maintainable code
• Understanding of security best practices
• Comfortable working in Agile/fast-paced environments
What Makes This Role Compelling
• Fully remote role with flexibility (within NC, TX, or CA)
• High-impact work supporting core investment systems
• Opportunity to build data platforms from the ground up
• Collaborative, intellectually curious engineering culture
• Strong focus on modern technologies and best practices
• Real ownership and visibility across the business
We're partnering with a highly regarded, technology-driven investment firm that builds innovative, research-backed financial products. Their engineering team is focused on developing scalable, high-performance systems that power critical investment decisions across research, trading, and portfolio management.
They're looking for a Senior Python Engineer to join their Data Distribution team, where you'll play a key role in building and optimizing a modern enterprise data platform.
Location: Fully remote (candidates must be based in North Carolina, Texas, or California)
The Role
As a Senior Python Engineer, you'll be working on a central investment data warehouse that supports core business functions including research, trading, analytics, and portfolio management.
This is a hands-on role where you'll:
• Design and build scalable data platforms and services
• Develop and optimize data pipelines end-to-end (ingestion → validation → delivery)
• Work closely with product, analytics, and engineering teams to deliver impactful solutions
• Build high-performance APIs and data transfer systems
• Contribute to architecture decisions and modern engineering best practices
• Support production systems and ensure reliability, availability, and performance
What You'll Be Doing
• Build and deliver data-driven applications and services
• Develop ETL pipelines and improve data architecture
• Design and implement RESTful APIs
• Ensure data quality, consistency, and performance
• Optimize systems for speed, scalability, and reliability
• Contribute to CI/CD pipelines, testing, and documentation
• Participate in code reviews and system design discussions
• Troubleshoot and support live production environments
What They're Looking For
• 5+ years of Python experience (open-source ecosystem preferred)
• Strong SQL skills and experience working with large datasets
• Experience building APIs and distributed systems
• Solid understanding of data engineering concepts and pipelines
• Experience building high-performance, scalable applications
• Strong grasp of software design principles (SOLID, DDD, etc.)
• Experience writing well-tested, maintainable code
• Understanding of security best practices
• Comfortable working in Agile/fast-paced environments
What Makes This Role Compelling
• Fully remote role with flexibility (within NC, TX, or CA)
• High-impact work supporting core investment systems
• Opportunity to build data platforms from the ground up
• Collaborative, intellectually curious engineering culture
• Strong focus on modern technologies and best practices
• Real ownership and visibility across the business