• Develop and maintain SQL code and SSIS packages. • Analyze data and solve new and existing business issues. • Reviewing query performance and optimizing code. • Provide production level support. • Fully document all processes that are being created.

• Design, implement, and continuously improve systems for data ingestion, processing, storage, and sharing • Build and optimize data architectures for performance, scalability, and reliability • Develop and maintain ETL/ELT pipelines using modern tools and frameworks • Ensure seamless integration and synchronization across systems • Uphold high standards of data quality, security, availability, and performance • Collaborate with analysts, software engineers, and business stakeholders to understand data needs and deliver solutions • Perform code reviews, troubleshoot software, and fix defects • Implement monitoring and alerting for data workflows • Gain expertise in a variety of banking processes and products

Role Description We are seeking a Principal Data Engineer to lead the design, development, and optimization of modern data platforms that enable advanced analytics, machine learning initiatives, and data-driven decision-making. This role requires a highly experienced engineer capable of architecting scalable data solutions, mentoring engineering teams, and driving best practices across data engineering initiatives. You will work closely with Data Scientists, Analysts, Product teams, and business stakeholders to transform complex data ecosystems into reliable, scalable, and secure platforms that generate meaningful business insights. Key Responsibilities - Design, build, and maintain large-scale data platforms and data architectures. - Lead the development of scalable and reliable ETL/ELT pipelines for batch and near real-time processing. - Architect cloud-native data solutions leveraging AWS, Azure, or GCP services. - Drive data modeling strategies using methodologies such as Star Schema, Snowflake Schema, and Data Vault. - Define and enforce data engineering best practices, coding standards, governance policies, and architectural guidelines. - Implement orchestration frameworks using tools such as Airflow, dbt, or similar technologies. - Optimize data pipelines for performance, scalability, reliability, and cost efficiency. - Collaborate with Data Scientists and Analytics teams to ensure high-quality, production-ready datasets. - Establish monitoring, observability, testing, and data quality frameworks. - Lead technical discussions and architectural decisions across multiple teams. - Conduct code reviews and mentor Data Engineers across different seniority levels. - Implement data security, privacy, and compliance standards aligned with industry best practices. - Support strategic initiatives involving analytics, machine learning, and marketing intelligence platforms. Qualifications - 8+ years of experience in Data Engineering, Data Platforms, or Data Architecture roles. - Experience operating in Senior, Lead, Staff, or Principal Data Engineering positions. - Proven track record designing and implementing enterprise-scale data solutions. - Experience working in distributed and cloud-native environments. Technical Skills - Expert-level SQL skills. - Strong Python development experience for data engineering and processing. - Extensive experience building ETL/ELT pipelines. - Hands-on experience with Airflow, dbt, or equivalent orchestration tools. - Strong expertise in data modeling and warehouse design. - Experience with modern cloud platforms: AWS, Azure, GCP. - Experience with data lakes and data warehouses. - Knowledge of CI/CD practices for data platforms. - Understanding of data governance, security, lineage, and privacy controls. - Familiarity with analytics and machine learning data preparation workflows. Soft Skills - Strong ownership mentality. - Excellent communication and stakeholder management skills. - Ability to lead technical initiatives and influence engineering decisions. - Mentoring and coaching capabilities. - Strategic problem-solving mindset. - Adaptability in fast-paced environments. - Strong collaboration skills across technical and business teams. Education - Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or related field. - Master's degree is a plus. Language - Advanced English (required). - Ability to participate in technical discussions and stakeholder meetings with international teams. Location - LATAM. - Mexico. - Remote position. Benefits - Integration with global brands and disruptive startups. - Remote work/Home office. - If a hybrid or on-site modality is required, you will be informed from the first interview session. - Schedule aligned with the assigned project/work cell. - Monday to Friday work schedule. - Birthday day off. - Major medical insurance (applies to Mexico). - Life insurance (applies to Mexico). - Multicultural work environments. - Access to courses and certifications. - IT meetups with special guests. - Virtual integration events and interest groups. - English classes. - Opportunities across our different business lines. - Proudly certified as a Great Place to Work.

• Responsible for leading the modernization, optimization, and stabilization of the Wisconsin Medicaid Market's data platform ecosystem. • Own the market's Data Warehouse and ODS, drives ETL/data movement strategy (including SSIS modernization). • Partners closely with the Market BI team to improve data access and flow. • Owns and evolves the Wisconsin Medicaid Market's data stores and data movement ecosystem, including the Data Warehouse and ODS. • Accountable for modernizing and optimizing the market's data platform to improve reliability, reduce technical debt, strengthen observability/fault tolerance, and increase engineering efficiency.