Staff Data Engineer - job 50 of 50

As a Staff Data Engineer at Visa Technology & Operations LLC, your main responsibilities include developing new capabilities for our AI Platform, refining the existing codebase, collaborating across departments, and driving end-to-end development efforts. You will ensure timely delivery of high-quality solutions that align with architectural standards, present technical solutions in business terms, and manage risks effectively during the project lifecycle.

To be successful as a Staff Data Engineer at Visa Technology & Operations LLC, you will need strong expertise in data engineering and software development, proficiency in languages such as Python or Java, and experience with data management tools. A solid understanding of AI and machine learning principles will be beneficial. Excellent collaboration and communication skills are also crucial for working effectively with cross-functional teams.

Yes, the Staff Data Engineer position at Visa Technology & Operations LLC allows for partial telecommuting. While you’ll be working primarily from our Austin office, we value flexibility and understand the importance of work-life balance.

As a Staff Data Engineer at Visa, you will work on various projects focusing on enhancing the AI Platform, improving data integration processes, and developing data-driven business solutions. This may involve collaborating on innovative designs, performance tuning, and ensuring that each solution conforms to best practices and company standards.

Visa Technology & Operations LLC is committed to employee development. As a Staff Data Engineer, you will have opportunities for ongoing training, access to mentorship programs, and involvement in cutting-edge projects. The collaborative culture encourages knowledge sharing and professional growth, ensuring your skills evolve along with the industry.

When addressing code performance and maintainability, I focus on optimizing algorithms, using efficient data structures, and applying coding best practices, such as adhering to coding standards and conducting regular code reviews. I also prioritize consistent documentation to ensure clarity for all team members.

Certainly! In my previous role, I worked closely with Product Managers, Software Engineers, and Data Analysts to deliver a comprehensive data analytics solution. We conducted regular meetings to align on objectives, share progress updates, and tackle any challenges collaboratively, which led to successful project delivery.

My approach to refactoring starts with a thorough analysis of the current codebase to identify bottlenecks or outdated practices. I prioritize changes based on impact and feasibility, ensuring tests are in place to validate functionality throughout the process. This ensures improvements without compromising existing features.

I maintain open lines of communication through regular status updates, using tools like project management software for tracking progress. I prepare concise reports that highlight key milestones, upcoming tasks, and any risks encountered, making it easier for stakeholders to understand the project status at a glance.

I always start by assessing the reasons for the deviation from the plan. I then communicate transparently with my team and stakeholders about the challenges we’re facing. Together, we brainstorm solutions and adjust timelines or resources as needed to get the project back on track.

I have hands-on experience with machine learning frameworks and libraries, such as TensorFlow and Scikit-Learn. In past projects, I developed predictive models and worked on integrating AI algorithms into data processing workflows, ensuring that our solutions were both innovative and effective.

I prioritize tasks based on their urgency and impact on overall project goals. I utilize project management tools to create a visual timeline, adjusting priorities as needed to ensure critical tasks are addressed first while keeping the team aligned on expectations.

To identify project risks, I conduct thorough risk assessments during the planning phase and involve the team in brainstorming potential challenges. I maintain a risk register and prioritize mitigation strategies, ensuring that we continuously monitor risks and adjust our strategies accordingly throughout the project.

I admire Visa's commitment to innovation and leveraging data for transformative solutions. I believe my skills in data engineering align perfectly with Visa's mission, and I am excited about the prospect of contributing to projects that have a real impact on the business and the communities we serve.

I actively follow industry news, participate in online forums, and attend technical conferences and workshops. I also engage with peer networks to exchange knowledge and experiences, which helps me stay informed about emerging technologies and best practices in data engineering.