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Job Closed

Python Developer

  • Source: LinkedIn
  • Selby Jennings
  • $120,000 to $140,000 /yr
  • Remote
  • Austin
  • Full-Time
  • Mid level

Job Description

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

Skills

  • Python
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