Job Description

Senior Data Engineer (Remote)

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland.

Job Description

The role is with NeuroID, part of Experian North America. We create products that detect fraud by analyzing how people type data on web forms and mobile apps. We are powered by data, and you will be at the heart of what we do.

We are looking for a Senior Data Engineer to manage and transform our data pipeline. We are a Snowflake and DBT shop with lots of semi-structured data. The job combines product development and research, so there are both project-based and operational aspects of the job.

You will report to the Chief Data Science Officer.

You'll have the opportunity to:

• Handle the daily management of data pipeline using DBT.
• Implement changes to Snowflake guided by product changes and research needs.
• Monitor and make changes to manage pipeline costs.
• Troubleshoot and resolve data, system, and performance issues.

Qualifications

Your background:

• 5+ years' of experience as a Data/Analytics Engineer using DBT.
• DBT experience that includes working with semi-structured data, custom macros, incremental models, job scheduling and streaming data.
• Experience working with Snowflake or other cloud data warehouses. Understand clones, pipes, external stages, and optimizing queries.
• Terraform, Python, and AWS experience.
• Very comfortable with modern SQL (CTE, window functions).
• Bachelor's Degree in Data Science/Analytics, Computer Science, Information Systems, or Math or an equivalent combination of education and experience.

Additional Information

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.

At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others.

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. You will be also eligible for a variable pay opportunity.

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.

This is a remote position.

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