Staff Software Engineer - job 2 of 2

As a Staff Software Engineer at Experian, your primary responsibilities will include implementing new features in the ID and Fraud Product development team, designing and optimizing data pipelines and warehouses, and ensuring data integrity and security. You will collaborate with AI teams, mentor junior engineers, and drive cross-team projects while participating in Agile development as a valuable scrum team member.

To be considered for the Staff Software Engineer role at Experian, candidates must have a Bachelor's degree in Computer Science or a related field, alongside 15 years of experience in software development, particularly with Tableau data visualization. A strong background in AWS services, big data technologies, and AI processing is essential, along with familiarity in programming languages like Java and shell scripting.

At Experian, professional development is a key focus. As a Staff Software Engineer, you'll have access to mentorship opportunities, engaging tech discussions, and workshops designed to elevate your skills. The company culture emphasizes growth, collaboration, and inclusivity, allowing you to connect with experienced professionals across various specializations.

In the Staff Software Engineer role at Experian, you will work with a variety of tools and technologies including AWS cloud services for scalable deployments, Kafka for real-time data processing, and various big data technologies like Hadoop, Spark, and Redshift. A strong emphasis is placed on coding best practices and utilizing advanced data management systems.

Staff Software Engineers at Experian can expect a range of attractive benefits including comprehensive health, dental, and vision insurance, a 401k match of up to 4% of your salary, and a remote work environment. Beyond financial perks, Experian also focuses on work/life balance, collaboration, and well-being, making it a fantastic place to grow your career.

Be prepared to showcase how you've utilized data pipeline tools in previous roles. Detail specific projects where you've designed, optimized, or maintained data pipelines, highlighting your experience with AWS services, Hadoop, or similar technologies and illustrating how you tackled any challenges in these endeavors.

Discuss your approach to secure design and implementation. You might mention specific frameworks or strategies employed to maintain data integrity and privacy, such as data encryption, compliance with regulations, or rigorous testing procedures you've implemented to safeguard sensitive information.

Share a specific instance where you faced a complex issue. Focus on the steps you took to analyze the problem, the resources or tools consulted, and how you successfully reached a resolution, emphasizing your analytical and critical thinking skills.

Effective mentoring requires patience and guidance. Describe your approach, such as setting clear objectives, providing constructive feedback, leading code reviews, and encouraging open communication. Share a success story where your mentorship positively impacted a junior engineer's growth.

Talk about your commitment to continuous learning and staying informed. You could mention subscribing to relevant industry publications, participating in online forums, or attending conferences and workshops that focus on advancements in software engineering and big data technologies.

Collaboration is essential in software engineering. Share a project where you worked with other teams, such as AI, design, or product management. Explain how you facilitated communication, set shared goals, and navigated any challenges that arose during the collaborative process.

Be ready to describe any specific projects where you’ve worked with machine learning models. Explain your familiarity with data preprocessing, feature engineering, and how you've collaborated with data scientists to ensure that the software integrates seamlessly with machine learning workflows.

Discuss best practices you follow, such as conducting regular code reviews, utilizing version control systems, and implementing security measures during development. Emphasizing the importance of robust coding standards at every stage of the software lifecycle can illustrate your dedication to quality.

Explain your experience with Agile methodologies, perhaps referencing specific frameworks like Scrum or Kanban. Discuss how Agile practices have influenced your ability to deliver software efficiently, adapt to changes, and engage with stakeholders throughout the development cycle.

Talk about the metrics and tools you use to evaluate program performance. You could discuss how you conduct performance tests, identify bottlenecks, and utilize profiling tools to make data-driven decisions that lead to concrete improvements in software efficiency.