What you'll do
Build scalable backend services and data pipelines in Python, transforming large datasets into clean, usable inputs for analytics workflows
Design and maintain systems using object-oriented programming principles, with a focus on readability, modularity, and long-term maintainability
Develop and operate platforms that support code execution, data workflows, and the end-to-end analytics modeling lifecycle
Implement CI/CD pipelines and manage infrastructure as code to promote automated, reliable deployments
Improve analytics environments across AWS and on-premises systems, applying security and encryption best practices throughout
Monitor, troubleshoot, and resolve data pipeline issues; guide ongoing improvements to system reliability and performance
Support model development environments by ensuring feature engineering, model training, evaluation, and deployment workflows
Handle large-scale data ingestion, transformation, and aggregation, and create data visualizations and summaries that communicate findings
Help evaluate and incorporate innovations that can enhance the team's capabilities
5+ years of experience in data science, analytics, or a related field
Bachelor's degree in Statistics, Applied Mathematics, Econometrics, or another quantitative discipline — or an equivalent combination of education and experience
Proficiency in Python—including PySpark, Polars, NumPy, and Pandas—with familiarity in Java
Experience with data structures, object-oriented programming, and system design principles
Hands-on experience building and maintaining production systems and data pipelines
Practical experience with AWS services (e.g., EC2, EMR, Airflow) and cloud security practices
Working knowledge of machine learning workflows and analytics model development
Experience with CI/CD pipelines, automated deployments, and Infrastructure as Code
Familiarity with containerization and orchestration tools
Proficiency in UNIX/Linux environments and scripting (e.g., Bash)
#LI-hybrid
Benefits/Perks
Great compensation package and bonus plan
Core benefits including medical, dental, vision, and matching 401K
Flexible work environment, ability to work remote, hybrid or in-office
Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose-driven culture is multi award-winning. We have won World's Best Workplaces™ 2025 (Fortune Global Top 25), and Great Place To Work™ in 26 countries to name a few.
Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of a recruitment process.
Our compensation reflects the cost of labor across several U.S. geographic markets. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be eligible for a variable pay opportunity and a comprehensive benefits package.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
