Company Description Experian is a global company in data services, helping organizations and consumers manage risk and make informed decisions. We empower individuals and businesses at important life moments, from purchasing a home to expanding customer bases. With over 125 years of experience, we specialize in data gathering, analysis, and fraud prevention. Our 21,700 employees across 30 countries are dedicated to innovation and creating opportunities for a better tomorrow. Recently ranked the fifth-best company to work for in Costa Rica, we prioritize inclusive culture, employee well-being, and career development. Join us at www.experian.com/careers to be part of our team. Job Description We are looking for a Senior Data Developer (SQL) with experience in SQL Server and data integration to help build data solutions used across the business. You will focus on developing reliable databases, ETL processes, and automation scripts that power critical applications. You will work with other developers, analysts, and partners to provide high‑quality data solutions in a collaborative environment. You will report to the Manager of Data Development. Responsibilities - You will develop and maintain SQL Server stored procedures, functions, views, and queries. - Build, enhance and support SSIS packages for data integration and transformation. - Perform database performance tuning, including query optimization and indexing. - Create scripts (such as PowerShell) to automate deployments and maintenance. - Monitor, troubleshoot, and resolve database, SSIS, and job execution issues. - Collaborate with team members to understand data requirements and provide reliable solutions. Qualifications - 5+ years of hands-on experience with Microsoft SQL Server. - 5+ years of experience developing SSIS packages. - Skills writing complex SQL queries, stored procedures, and tasks. - Experience with database performance tuning and optimization techniques. - Experience with PowerShell or a similar scripting language for automation. - Experience with relational database design and data normalization. Additional Information Benefits/Perks: 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 Our 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 and recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work™ 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. - Employee Status: Regular - Role Type: Hybrid - Department: Technology - Schedule: Full Time - Shift: Day Shift

• Support cloud-based data pipelines for ingestion, transformation, and storage. • Work with AWS services to help maintain and improve data workflows. • Help with data validation, monitoring, and troubleshooting of analytics pipelines. • Contribute to data lake solutions used for reporting and analytics. • Support reporting and visualization tools used by business partners. • Follow best practices for source control, documentation, and team collaboration.

• Design, build, and maintain **scalable, reliable, and high-performance data pipelines** • Develop end-to-end **ETL / ELT workflows** • Process large-scale datasets using **Spark / PySpark** • Build and orchestrate cloud-native pipelines in **AWS and/or Azure** • Design and optimize **Snowflake data warehouse solutions** • Ensure **performance, scalability, governance, and cost optimization** • Write and optimize **advanced SQL queries** • Collaborate with **Data Scientists, Analysts, and Software Engineers** • Translate business requirements into **production-ready data solutions** • Ensure **data consistency, availability, and quality** • Implement **CI/CD, Git workflows, and Dockerized deployments** • Improve reliability and observability of data platforms

We love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and strive to improve it daily. We make things happen. You can trust us. Our Enrouters are always up for a challenge. We ask questions, and we love to learn. We pride ourselves on having great benefits and compensations, a fantastic work environment, flexible schedules, and policies that positively impact the balance of work and life outside of it. At Enroute, we are looking for a Senior Data Engineer to join a growing Data team responsible for designing, building, and evolving scalable data platforms and cloud-native pipelines that support business intelligence, analytics, and operational workloads. The ideal candidate is highly hands-on with Python, Spark/PySpark, Snowflake, and cloud-based data architectures, with strong experience building reliable, production-grade ETL/ELT pipelines and modern data warehousing solutions. This role is ideal for someone who enjoys solving complex data challenges, optimizing performance at scale, and collaborating closely with data scientists, analysts, and engineering teams.