Top Python Jobs in Dallas, TX

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.

Full‑stack Python/Django developer responsible for front‑end and back‑end work: convert PSDs to HTML/CSS, implement JavaScript, build and maintain Django apps, deploy sites, generate reports from multiple databases, and collaborate with clients and a distributed team.

Design, implement, test, and support Python-based full-stack web applications. Collaborate on architecture, review business requirements, participate in code reviews, document designs, and work in an Agile/Scrum environment.

Develop and maintain Python applications using CPython and GUI plugins (PyQt/PySide). Use Microsoft TFS for source control, collaborate with clients and global teams, and apply analytical skills within the Finance domain.

Full-time developer role in Plano, TX requiring 5+ years of application programming experience and hands-on experience with Python (2+ years) and R analytics (2+ years).

Design, build, and support cloud-native, data-intensive backend services focused on scalable search, high-throughput data pipelines, REST APIs, and event-driven architectures using Python, Elasticsearch, Kafka, Databricks, and Azure. Implement CI/CD, monitor production performance, optimize indexing and API latency, and collaborate on architecture and support.

Develop and maintain software using Python/C/Java in Linux environments. Apply strong algorithms and data-structure skills, perform Linux scripting, work with SQL/NoSQL databases, and support web technologies (HTML, HTTP, Apache/Nginx). Collaborate in Agile teams.

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, develop, test, and maintain backend services using Java and Python within a microservices architecture. Collaborate with architects, product owners, and infrastructure to deploy containerized applications, tune performance, implement CI/CD, and support production systems. Participate in code reviews, agile ceremonies, and technical design to deliver scalable, high-quality solutions.

Design, build, and deliver scalable cloud-hosted applications combining React front-ends and Python/FastAPI backends. Own end-to-end features, optimize SQL and Text-to-SQL workflows, integrate with Snowflake, deploy containerized services with Docker and Nginx, and mentor junior developers while promoting security, performance, and reliability.

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

Lead development of scalable, serverless integrations between Salesforce, Zuora, and vendor systems. Define architectures, write and unit test code, and drive delivery in an Agile environment. Mentor engineers, enforce coding standards, plan and estimate work, and collaborate with global teams to ensure event-driven, microservices-based, cloud-native solutions with CI/CD and strong production data modeling.

Design, build, test, and maintain backend applications using FastAPI and SQLAlchemy. Implement database schemas, integrate front-end components, optimize for performance and scalability, debug issues, participate in code reviews, and collaborate on feature design. Maintain clean, testable code and stay current with best practices.

Develop and maintain scalable Python backend applications and RESTful APIs. Optimize performance, design and manage SQL/NoSQL schemas, implement security/authentication, write tests, automate CI/CD tasks, and collaborate with front-end, product, and QA teams.

Develop Python microservices and APIs using FastAPI. Implement data validation with Pydantic and enforce linting (flake8). Integrate pyMongo with MongoDB collections, connect services to GraphQL endpoints and graph databases, and configure and maintain Neo4j database instances.

Develop Python microservices and APIs using FastAPI; implement data validation with Pydantic; enforce linting (flake8); integrate with MongoDB via PyMongo; connect to GraphQL and graph databases; install and configure Neo4j.