Key Facts

Remote From:

Costa Rica

Category: Data Engineer

Full time

Senior (5-10 years)

English

Hard Skills

Data Engineering Python (Programming Language) Amazon Redshift Amazon Web Services SQL (Programming Language) Agile Software Development CI/CD Artificial Intelligence

Other Skills

•
Teamwork
•
Problem Solving

Roles & Responsibilities

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

Requirements:

Design, and maintain scalable, production‑grade data pipelines across cloud data platforms (e.g., AWS Redshift, S3, MWAA/Airflow)
Build and support a data warehouse, implement solutions using Python to process structured and unstructured data
Partner with Data Science and analytics teams to operationalize data for AI use cases
Contribute to data standards, best practices, documentation, and reusable frameworks that accelerate delivery across teams

Experian

Information Technology & Services

About Experian

Experian unlocks the power of data to create opportunities for consumers, businesses and society. During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity. We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime. For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done. Our 16,000 people in 37 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow. About Experian: Bringing data to life requires creativity, passion, flexibility and expertise. We want you to share in our success. That's why we offer rewards that recognise great performance. Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career. Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian. Read more at https://www.experianplc.com/careers/ Please note only shortlisted candidates will be contacted Our diverse workforce is part of the reason for our success. We want everyone to succeed, irrespective of their gender, ethnicity, sexuality, physical ability or age.

Company type: XLarge

Industry: Information Technology & Services

Founded: 2018

Company size: 10001

Website LinkedIn See all jobs →

Job 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

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