Senior Data Engineer at Experian

Heredia, , Costa Rica -

Full Time

Start Date

Immediate

Expiry Date

20 Aug, 26

Salary

0.0

Posted On

22 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, AWS Redshift, AWS S3, MWAA/Airflow, CI/CD, Jenkins, GitLab, Agile Development, Data Pipeline Design, ETL, AI-Assisted Development, Data Warehousing, Root Cause Analysis, Feature Pipelines, EMR

Industry

Information Services

Description

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries Job Description We are looking for a Data Engineer with a interest in AI, automation, and progress. You will design scalable data platforms that power analytics, AI/ML use cases, and business-critical reporting. You will go beyond traditional ETL—combining modern data engineering practices with AI‑assisted development, automation, and. Design, and maintain scalable, production‑grade data pipelines across cloud data platforms (e.g., AWS Redshift, S3, MWAA/Airflow). Work as part of a team to build and support a data warehouse, implement solutions using Python to process structured and unstructured data. SQL and data to understand and troubleshoot existing complex SQL. Partner with Data Science and analytics teams to operationalize data for AI use cases, including feature pipelines, model inputs, and downstream use. Apply AI‑assisted development tools (e.g., code generation, automation, validation) to improve developer productivity and reduce manual effort. Participate in production support and incident resolution, with a focus on root cause analysis and prevention Contribute to data standards, best practices, documentation, and reusable frameworks that accelerate delivery across teams. Participate in a production on-call rotation. Qualifications 5+ years of experience in Data Engineering development 5 years of experience in Python scripting 3 years of experience with AWS ecosystem (Redshift, EMR, S3, MWAA) 5 years of experience in Agile development method. Understand complex metrics and translate our requirements to technical requirements Education: BS degree or higher in computer science or related fields Proficiency in CI/CD tools (Jenkins, GitLab, etc.) Additional Information Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.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. Our benefits include: Medical, life and dental insurance, Asociacion Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more. This is a fully remote job opportunity. #LI-Remote Employee Status: Regular Role Type: Hybrid Department: Technology Schedule: Full Time Shift: Day Shift

Responsibilities

Design and maintain scalable production-grade data pipelines and warehouses using Python and SQL on AWS platforms. Partner with Data Science teams to operationalize AI use cases and implement AI-assisted development tools to improve productivity.