Experian is the world's leading global information services company, unlocking the power of data to create more opportunities for consumers, businesses, and society. We are thrilled to share that FORTUNE has named Experian one of the 100 Best Companies to work for. Also, for the last five years we've been named in the 100 "World's Most Innovative Companies" by Forbes Magazine. Today's business environment is complex. Experian Decision Analytics turns challenging situations into decisions through three core areas of expertise: analytics, decisions, and identity and fraud. The combination of these products, along with our industry and business experience, helps us solve real-world problems for lenders, financial institutions, and other companies and institutions worldwide. As a thought-leading organization, it is important that we communicate our vision to clients, employees, and a myriad of other partners so they understand where we are going and how we are advancing our big data and analytics capabilities across industries. The Staff Software Engineer will implement new features and improvements in the ID and Fraud Product development team. Applications supported will include Precise ID, Precise Match, IEN, and Document Capture, among others. This role will participate as a member of a FSD Technology Scrum team to fulfill these objectives. They will be expected to function with a fair degree of autonomy, taking high-level direction from Leadership and Product teams. As a Staff Software Engineer, you will report to the Manager, Software Engineering. Build, design and optimize data pipelines, data warehouses and reporting frameworks. Work closely with our AI team to prepare data for predictive and prescriptive modeling. Implement effective data storage solutions and manage data in both AWS and on-prem environments. Ensure the integrity and privacy of data through secure design and implementation. Leverage AWS cloud services for scalable application deployment and management. Comfortable taking the lead and driving/coordinating major workstreams. Collaborate with cross-functional teams to deliver on project goals and improve. Ensure code quality, security, and scalability through best practices and regular reviews. Decompose workstreams into modular pieces and mentor other more junior team members to accomplish. Utilize Kafka for real-time data processing. Integration and build of software releases and release planning. Participate in Agile development as a scrum team member. Analyze program performance and devise improvements. Troubleshoots complex problems and identify fixes. Escalate when appropriate when blocked or unable to resolve on their own. Qualifications + Bachelor's degree in computer science, Data Science, or related field or equivalent experience + 15 years of experience in developing and Tableau data visualization + 7+ years of experience with AWS services and data pipeline tools. + Expertise in Oracle, SQL, NoSQL, and big data technologies (ex. Hadoop, Spark, Redshift). + Experience with AI and machine learning data processing requirements. + Familiarity with Java and shell scripting Benefits + Health, Dental, Vision Insurance + 401k match up to 4% of 100% of your salary + 15% discount + Remote work environment #li-remote Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.