Top Senior Python Jobs in Dallas, TX

Lead software engineering initiatives in Cloud Operations Resilience Engineering, focusing on AI-driven systems, compliance, and architectural standards.

Design, build, and maintain enterprise-grade Python applications and data pipelines. Optimize performance, ensure reliability in distributed systems, produce architecture artifacts, implement ETL and near-real-time data processing, support CI/CD and incident response, mentor engineers, and collaborate with cross-functional teams to translate business needs into robust technical solutions.

Design, build, and maintain enterprise-grade Python applications and data processing pipelines. Deliver production-ready, secure, and high-performance code, optimize large-scale data workflows, troubleshoot incidents, contribute to architecture, and collaborate across product, data, and infrastructure teams.

Lead a portfolio of technology projects with a team of developers to create solutions for regulatory needs, collaborating on cloud-based projects while mentoring engineers.

Design, develop, and maintain Python-based backend services and automation systems. Modernize scripts into modular components, build REST APIs and data processing pipelines (PySpark/Databricks/Delta Lake), orchestrate workflows with Airflow, integrate enterprise systems, optimize performance, and support deployment, monitoring, and operational stability.

Design, develop, and implement production microservices and applications. Integrate generative AI (LLMs, RAG, AI agents) into services, apply DDD/CQRS/event sourcing, ensure secure coding and secrets management, support databases (Postgres, Oracle, MongoDB, Redis), advise stakeholders, and provide coaching and operational support throughout the SDLC.

Develop and maintain Python-based solutions and REST services for enterprise capital management. Build/refresh environments, develop and test algorithms, automate processes, and work with MS SQL Server, SSIS/SSRS and ETL tasks. Cross-train on DB/ETL work; collaborate on a global team within a banking environment.

Develop and test Python-based solutions and REST services for enterprise capital management. Automate processes, work with MS SQL Server/ETL tools, and collaborate on global multi-functional projects. Cross-train in ETL/DB and support algorithm development to solve complex business problems.

Design and develop scalable Python services, manage CI/CD pipelines, and ensure secure communication and data practices while collaborating with teams.

As a Lead Software Engineer, you will drive technical initiatives to develop the AskGartner AI platform, manage architecture decisions, mentor engineers, and collaborate across teams to deliver scalable solutions.

Design, implement, and scale event-driven, distributed backend systems in Python on AWS to process and enrich large-scale document and media datasets. Lead technical projects, mentor engineers, integrate ML/LLM components, optimize performance, maintain observability, and collaborate with Data Science, ML Engineering, and Product to deliver reliable high-throughput content processing services.

Design, build, and optimize event-driven, distributed backend systems and APIs in Python for large-scale content metadata extraction and enrichment. Deploy and operate resilient AWS-based pipelines, collaborate with ML teams to integrate models, and ensure system performance, observability, and data integrity.

Design, build, and scale event-driven, distributed backend systems in Python to extract and enrich metadata at massive scale. Lead architecture, mentor engineers, integrate ML/LLM components, optimize performance, and ensure observability and reliability across AWS-based pipelines.

The role involves leading the development and implementation of applications using Python and PySpark, providing user support, and recommending security measures while managing project timelines and consulting with clients.

The role involves leading the development of enterprise applications using Angular and Python, collaborating with teams to deliver technology solutions for the Credit Risk Business, while resolving complex issues and supporting production environments.

The role involves leading application systems analysis and programming in the Wholesale Credit Risk Technology team. Responsibilities include building enterprise applications using Python and FastAPI, collaborating with teams, resolving complex issues, and supporting production.

Design, develop, and optimize Python applications for inventory tracking and order automation, leading technical projects and mentoring junior developers.