Senior Data Engineer I

TL;DR

Senior Data Engineer (Data Science/ML): Building secure, scalable, and reliable data infrastructure and pipelines to support global operations with an accent on data orchestration, transformation, and platform reliability. Focus on designing deployable ETL/ELT solutions, automating deployments, and ensuring high-quality data delivery for analysis and decision-making.

Location: Remote, Mexico

Company

Global leader in information and analytics helping researchers and healthcare professionals advance science and improve health outcomes worldwide.

What you will do

• Design and implement robust data orchestration and transformation solutions.
• Ensure reliable delivery of high-quality data for analysis, reporting, and sharing.
• Collaborate with cross-functional teams to define and promote coding and technical standards.
• Partner with DevOps to automate deployments and apply Infrastructure as Code for consistent environments.
• Build reusable frameworks and modular components using Airflow.
• Improve platform reliability and scalability through enhanced logging, monitoring, and observability.

Requirements

• Experience with modern data stack technologies such as Airflow, Snowflake, DBT; familiarity with Tableau, Sisense, AWS, GitHub, Terraform, Docker.
• Ability to create deployable data pipelines and ETL/ELT solutions using Python, SQL, or Jinja.
• Knowledge of SDLC, DataOps, and DevOps practices.
• Active participation in Agile environments and commitment to continuous improvement.
• Strong communication and collaboration skills.
• Familiarity with designing secure, scalable, and cost-effective cloud-based data solutions and understanding of data governance, privacy, and security practices.

Culture & Benefits

• Flexible and supportive work environment promoting work/life balance.
• Private Medical/Dental Plan, Savings Fund, Life Insurance, Meal/Grocery Voucher.
• Well-being initiatives, shared parental leave, study assistance, and sabbaticals.