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 DescriptionWe are looking for an experienced Senior Data Engineer with expertise in AI‑powered tools, workflow automation, and modern data platform engineering. You will develop data software applications, data platforms, and data products. It partners with application engineers, data engineers, data scientists, and CRM teams to develop scalable solutions. The Engineer will contribute both independently and collaboratively. The Engineer's responsibilities will include defining engineering standards, performing data analysis and modeling, writing high‑quality code, conducting testing and code reviews, preparing deployments, ensuring operational readiness, and supporting Agile development practices. Additionally, the Engineer will keep Security first in mind. You will report to the Development and Operations Manager.
- Lead the implementation of AI and LLM‑based tooling to automate data engineering workflows (e.g., code generation, data quality monitoring, schema drift detection).
- Build automated frameworks for data ingestion, transformation, orchestration, and deployment using AI‑powered accelerators.
- Integrate AI/ML capabilities into pipelines, including anomaly detection, metadata enrichment, and pattern recognition.
- Develop automated data validation frameworks and implement AI‑assisted data quality checks.
- Take technical ownership of all stages and iterations of assigned software components.
- Design technology solutions meet all functional and non‑functional our requirements.
- Provide ongoing production support by overseeing critical data pipelines, resolving incidents, ensuring system stability, and driving root‑cause analysis for continuous improvement.
- Produce clear documentation of designs, architectural decisions, and code artifacts; participate in knowledge sharing.
- Provide regular updates and communications to project partners.
- Ensure solution adoption through training, documentation, and readiness planning.
- Work across multiple projects and departments, supporting engineering tasks and cross‑functional programs.
- Apply industry best practices, engineering standards, and governance principles.
- Be a important contributor to deliver high‑value, on‑time, on‑budget complex projects.
Qualifications
- Bachelor's degree in Computer Science or equivalent experience.
- 5+ years in commercial software development environments.
- 5 + years of hands‑on experience in data engineering or similar roles.
- Demonstrated experience using AI/LLM tools for code generation, testing, monitoring, and automation.
- Hands‑on experience with:
- PySpark, Python, SQL (expert‑level)
- Data engineering pipelines, frameworks, and automation
- Knowledge of data platform paradigms and modern software architecture.
- Cloud experience with AWS, including services such as API Gateway, Lambda, EC2, ECS, SQS, SNS, DynamoDB, Redshift, and Aurora.
- Understand detailed technical specifications and adapt quickly to new technologies Experience making any architectural tradeoffs required to provide software solutions.
- Experience building scalable, resilient, and observable distributed systems and problem‑solving skills across a range of complexities.
- Experience troubleshooting issues with users.
- Familiarity with MLOps, ML orchestration, and model deployment workflows.
This is a permanent remote home-based role in Costa Rica. No relocation available.
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.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical 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.
#LI-ML2 #LI-Remote
This is a remote position.
Skills Required
- Bachelor's degree in Computer Science or equivalent experience
- 5+ years in commercial software development environments
- 5+ years of hands-on experience in data engineering or similar roles
- Demonstrated experience using AI/LLM tools for code generation, testing, monitoring, and automation
- Expert-level PySpark, Python, and SQL
- Hands-on experience with data engineering pipelines, frameworks, and automation
- Knowledge of data platform paradigms and modern software architecture
- Cloud experience with AWS (API Gateway, Lambda, EC2, ECS, SQS, SNS, DynamoDB, Redshift, Aurora)
- Experience building scalable, resilient, and observable distributed systems
- Experience troubleshooting issues with users and providing production support
- Familiarity with MLOps, ML orchestration, and model deployment workflows
- Security-first mindset and adherence to engineering standards and governance
Experian Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Experian and has not been reviewed or approved by Experian.
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Healthcare Strength — Medical and dental coverage is described as strong, with expanded mental health resources and telemedicine options. Coverage includes inclusive services such as gender transition and fertility support.
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Leave & Time Off Breadth — Time-off offerings are generous, including substantial PTO/vacation, paid holidays, and paid volunteer days with options to purchase additional leave. Parental leave is available for birth and non-birth parents alongside flexible working arrangements that support work-life balance.
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Retirement Support — Retirement programs include a 401(k) with company matching and contributory pension schemes in some regions. These elements complement base pay and bonuses to form a competitive total rewards package.
Experian Insights
What We Do
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 20,600 people in 43 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.
