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Senior Principal Engineer - 100% US REMOTE
Senior Principal Engineer - 100% US REMOTE-November 2024
Nov 25, 2025
About Senior Principal Engineer - 100% US REMOTE

  About us, but we’ll be brief

  We are very proud that FORTUNE named us one of The 100 Best Companies to Work For. In addition, for the last five years we’ve been named in the 100 “World’s Most Innovative Companies” by Forbes Magazine.

  Experian is looking for an experienced engineer who will play a key role as an aide to the Infrastructure and Development teams. The person in this role will be responsible for implementing solutions to develop tools, standards and services that provide a global platform for services in the cloud. Experian has a long history of innovation in AI/ML across regions and business units. Recent inflections in areas such as Generative AI have increased the demand for faster evaluation and standardization of tools to provide an extensible platform to build proprietary solutions for further innovation. We are looking for an experienced contributor with practical background in supporting that effort alongside other major initiatives that include migration of longstanding big data systems into the cloud. The person in this role will work closely with other teams spanning multiple business units across the globe.

   

  Responsibilities

  Lead global teams to effectively handle design discussions with business, software developers and platform engineers.

  Hands-On active collaboration as core member of a software engineering team

  Translate business requirements and logical designs into working physical platform designs

  Work collaboratively with all levels of technical and senior business management, including engineers and scientists across regions and business units

  Involve in design discussions with business, software developers and platform engineers to deliver technical solutions.

  Work with architecture/engineering and other teams to proactively improve the evolving environment based on specifications and business requirements.

  Interface with infrastructure, network, security and operations teams to resolve problems with applications/Big Data systems.

  Design and implement technical solutions for data ingestion, cleansing, transformation and storage

  Design and implement analytical experiments, machine learning techniques, predictive modeling, and data mining to help solve business problems across global business units.

  Contributor to productizing complex modeling/machine learning project, POCs and new product development, including design, coding and model deployment

  Problem solving with scientific rigor that results in precise and reproducible outcomes

  Exploration of novel and innovative technologies to enhance existing products and shape new products

  Ability and willingness to document, summarize and communicate development results to stakeholders

  Required

  Typically requires a bachelor's degree (in Computer Science or related field) or equivalent, overall 15+ years of IT and 10+ years of related experience in open platforms technologies.

  Demonstration of innovative/novel technical contribution in previous roles

  Proficiency in multiple programming or scripting languages

  Experience in AWS Cloud Services

  Experience in various Big data technologies such as Cassandra, DynamoDB, Kafka, Spark, Hadoop

  Experience integrating with async messaging, logging, or queues, such as Kafka, RabbitMQ, SQS.

  Experience with server-side development of APIs

  Experience in SQL and NoSQL based data access and management 

  Knowledgeable and experienced with software and system patterns and their application in prior work

  Strong Problem Solving and creative thinking skills

  Comfortable in a dynamic environment, with ability and willingness to adapt to various technologies

  Effective oral and written communications

  Ability to handle conflicting priorities

  Ability to learn

  Adaptability

  Receptive to change

  Ability to communicate with business users at all levels

  Analytical skills

  Self-motivated and pro-active

   

  Highly Preferred

  Experience with large data architectures including Spark, Hadoop, or similar technologies

  Experience with modern tools and architectures in Generative AI including OpenAI, Langchain and Hugging Face

  Experience leading engineering teams to move AI/ML solutions into production.

  Experience with cloud-based platforms for machine learning and data processing

   

  Role Dimensions

  Ensuring high availability for platforms for service excellence.

  Customer Service

  Teamwork

  Knowledge

  Strong strategic process and procedure methodology with attention to maintaining robust audit controls.

  Work with the implications of different cultural and business environments across the company.

  Ability and flexibility to travel internationally at short notice.

  Work within different cultural environments.

  Work within multi-lingual environments.

  Work with the implications of different cultural and business environments across the company.

   

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

  Experian is proud to be an Equal Opportunity and Affirmative Action employer. Our goal is to create a thriving, inclusive and diverse team where people love their work and love working together. We believe that diversity, equity and inclusion is essential to our purpose of creating a better tomorrow. We value the uniqueness of every individual and want you to bring your whole, authentic self to work. For us, this is The Power of YOU (https://www.flipsnack.com/79B9EDC8B7A/the-power-of-you-report-external-2020/full-view.html)  and and it reflects what we believe.  See our DEI work in action (https://www.experian.com/diversity/) !

  Please contact us at [email protected] to request the salary range of this position (please include the exact Job Title as it reads above in your email). In addition to a competitive base salary and variable pay opportunity, Experian offers a comprehensive benefits package including health, life and disability insurance, generous paid time off including 12 company paid holidays and parental and family care leave, an employee stock purchase plan and a 401(k) plan with a company match.

  Experian Careers - Creating a better tomorrow together

  Find out what its like to work for Experian by clicking here (https://www.experian.com/careers/)

  Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above.  Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience and education.  This position is also eligible for a variable pay opportunity and a comprehensive benefits package which includes health, life and disability insurance, generous paid time off including paid parental and family care leave, an employee stock purchase plan and a 401(k) plan with a company match.

  Experian is proud to be an Equal Opportunity and Affirmative Action employer. We’re passionate about unlocking the power of data to transform lives and create opportunities for consumers, businesses, and society. For more than 125 years, we’ve helped people and economies flourish – and we’re not done.

  We take our people’s agenda very seriously. We focus on what truly matters; diversity and inclusion, work/life balance, flexible working, development, collaboration, wellness, reward & recognition, volunteering, making an impact... the list goes on. See our DEI work in action (https://www.experian.com/diversity/our-commitment/index) !

  The power of YOU (https://www.experianplc.com/media/4459/english-experiandei-report_2022.pdf) . We are building a culture where everyone is comfortable bringing their whole self to work. A place where we not only respect our differences and values but celebrate them in a positive and supportive environment.

  Find out what is like to work for Experian and discover the Unexpected (https://www.experian.com/careers/) !

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