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 realise 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. Learn more at Job DescriptionWe are thrilled to announce that NeuroID has been acquired by Experian, a global leader in identity verification and fraud prevention. Experian's solutions helped clients avoid an estimated $15 billion in fraud losses last year. Since 2023, NeuroID has partnered with Experian to provide the latest behavioral analytics, combating identity theft and advanced fraud attacks. Now, as part of Experian's CrossCore® on the Experian Ascend Technology Platformâ„¢, we continue to lead the charge in proactive fraud detection and seamless user experiences. Be part of a team that's pioneering the future of fraud prevention!QualificationsNeuroID is 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 aspects of both product and research so there are several projects and operational aspects of the job.NeuroID detects fraud by analyzing how people type data on web forms and mobile apps (how cool is that?). We are powered by data, and you will be at the heart of what we do.You will report to NeuroID's Chief Data Science Officer, and is remote in the US.You Will:Handle the daily management of data pipeline using DBTImplement changes to Snowflake guided by product changes and research needsMonitor and make changes to manage pipeline costsTroubleshoot and resolve data, system, and performance issuesExperience3+ years of experience as a Data/Analytics Engineer using DBTDBT experience should include working with semi-structured data, custom macros, incremental models, and job schedulingExperience working with Snowflake or other cloud data warehouses. Understand clones, pipes, external stages and optimizing queries.Terraform, Python, and AWS experience is strongly preferredVery 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 experienceBenefits/Perks:Great compensation package and bonus planCore benefits including medical, dental, vision, and matching 401KFlexible work environment, ability to work remote, hybrid or in-officeFlexible time off including volunteer time off, vacation, sick and 12-paid holidaysAdditional InformationOur 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 Workâ„¢ 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, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Created: 2024-11-09