Sr. Data Engineer, US Remote

Join Experian: Transform Data into Opportunities

Company Description

Experian is the global leader in information services, dedicated to helping businesses provide exceptional customer experiences through data management and analytics. We aim to solve complex problems, drive better decisions and outcomes, and prevent fraud. We empower millions of individuals to manage and improve their financial health by gaining access to credit, saving money, and protecting their identities.

About Us

At Experian, we unlock the power of data to create opportunities for consumers, businesses, and society. We are honored to be named one of FORTUNE's 100 Best Companies to Work For and have been listed in Forbes' 100 World's Most Innovative Companies for the past five years. With a workforce of 20,000 people across 44 countries, we continually invest in new technologies, talented individuals, and innovation to help our clients maximize every opportunity.

Job Description: Sr. Data Engineer (US Remote)

Experian EITS is seeking an experienced Software Data Engineer to design and build scalable software systems that utilize large and diverse data sources. The recent advancements in Generative AI highlight the need for processing structured and unstructured data to leverage large language models. We are looking for a skilled professional with hands-on experience in software and data engineering to bolster our data science and machine learning initiatives. This role requires close collaboration with various technology teams to drive the inception, implementation, and deployment of these solutions.

What You’ll Be Doing

• Collaborate with data scientists and machine learning engineers to integrate and optimize applications of large language models.
• Implement best practices for data processing (ingestion, cleansing, transformation, storage) and management, ensuring data quality and integrity.
• Troubleshoot and resolve issues related to data pipelines, storage, and processing.
• Explore innovative technologies to enhance existing products and shape new ones.
• Work collaboratively with engineers and scientists across regions and business units.
• Document, summarize, and communicate development results to stakeholders.

Qualifications

What Your Background Looks Like

• Master's degree in a related quantitative field (Computer Science, Math, Statistics, Engineering, Physics, Economics).
• 10+ years of relevant working experience, preferably in business information, fraud, or credit data.
• Experience developing software in Java, Python, C/C++, or other programming languages.
• Experience with data querying languages such as SQL.
• Experience with machine learning methods like Neural Networks, Clustering, SVM, Ensemble models, and Reinforcement Learning.
• Excellent written, verbal, interpersonal communication, and presentation skills.

Preferred Qualifications

• PhD in a related quantitative field.
• Extensive experience with large data architectures, including Spark, Hadoop, or similar technologies.
• Proficiency in embedding models, chunking strategies, and vector stores.
• Hands-on experience with modern Generative AI tools and frameworks like OpenAI, Hugging Face, AWS Bedrock, LangChain, and LlamaIndex.
• Proven track record of guiding team members in deploying AI/ML solutions into production environments.
• Strong familiarity with cloud-based platforms for machine learning and data processing.

Additional Information

Perks

• Currently, all Experian employees are working remotely.
• 20 paid vacation days and two volunteer days (plus eleven paid holidays).
• Competitive pay and comprehensive benefits package, including a 20% bonus.
• Flexible work schedule and relaxed dress code.

All your information will be kept confidential according to EEO guidelines.

#LI-REMOTE

Company Name: Experian

Job Title: Sr. Data Engineer, US Remote