Top Software Engineer Jobs in Dallas, TX

Seeking a Sales Engineer with significant security expertise to help organizations stop breaches using next-generation endpoint technology. Must have a Bachelor's degree, 5+ years of relevant work experience, and be fluent in English and Portuguese.

Seeking a Sr. CPQ Developer to join CrowdStrike's Customer Applications team. Responsible for designing, building, and enhancing Quote to Cash processes using Salesforce CPQ. Must have extensive knowledge of Salesforce CPQ capabilities and experience with software development.

Seeking a Sales Engineer with significant security expertise to join CrowdStrike, a global leader in cybersecurity. Responsibilities include articulating complex security problems, collaborating with various teams, and presenting to external audiences. Required: Bachelor's degree, 5+ years of work experience, and willingness to travel.

Design, build, and maintain backend services for Square Appointments. Advocate for developer productivity and code quality. Collaborate with engineers and product managers to create software experiences. Responsible for feature design, implementation, testing, and rollout.

Work as a Front End / Full Stack Developer at TIDAL, collaborating with the frontend and backend team to build and deliver product features on artist tools. Focus on empowering musicians with tools for their artistic journey and implementing technical improvements for performance optimization.

Square Bank Accounts team is seeking a Senior Software Engineer with 8+ years of industry experience. Responsibilities include building new backend systems, collaborating with a full-stack engineering team, and improving the user experience for millions of merchants worldwide.

Senior Fullstack Engineer role at Braze involving real-time and batch processing of data, generating reports and insights, optimizing query performance, and enhancing user experience with cutting-edge technologies.

Senior Fullstack Engineer role at Braze working on real-time and batch processing of data, analytics, and customer engagement tools. Responsibilities include building ultrafast applications at massive scale and optimizing query performance.

Senior Fullstack Engineer role at Braze involving real-time and batch processing of data, generating reports and insights, optimizing query performance, and creating a great user experience.

Design, implement, and optimize infrastructure solutions for a mental health-focused organization. Collaborate with a dedicated team to ensure scalability, reliability, and performance of technology. Remote work from anywhere in the US.

As a Data Engineer Associate at PNC's Security Analytics Hub, responsibilities include acquiring/mapping datasets, developing algorithms, building database pipelines, collaborating with management, and ensuring data compliance. Required skills: Python, SQL, database knowledge, ETL systems, data storage, automation/scripting, and data security.

Senior Full Stack PHP Engineer responsible for building features for a Security Awareness Training product. Collaborate with teams, design APIs, and deliver high-impact value to users. Focus on quality code, performance, and architectural challenges.

The Data Engineer at Dropbox will be responsible for building next-generation Financial data pipelines, curating Gold Datasets, and creating data models and ETL processes. They will work closely with business and engineering teams to provide reliable data for business use.

Seeking a Principal Software Engineer to shape architecture and services for a product platform at Dropbox. Responsibilities include working on AI-first products, building multi-tenant services, and collaborating with cross-functional teams. Requires 12+ years of experience in building large scale distributed systems and expertise in low latency architecture. Salary range: $268,600 - $363,400 yearly.

Lead a team of data scientists to partner with marketing, sales, growth, and product teams to drive revenue growth, optimize marketing strategies, and launch high-impact initiatives. Develop quantitative models, analyze marketing campaigns, and provide data-driven insights to improve marketing performance. Build scalable data foundations and execute standards for long-term growth. Monitor and analyze experiments to optimize marketing campaigns and promote best practices.