Sr. Data Engineer (Modern Data Stack)

Location: Alajuela, Costa Rica

Company

Johnson & Johnson MedTech develops healthcare technologies and solutions through its MedTech and Innovative Medicine businesses.

What you will do

• Design, build, and maintain sophisticated Snowflake data models supporting multiple products and domains.
• Develop and optimize data pipelines using Fivetran, Databricks, Python, dbt, and Coalesce.
• Integrate structured and unstructured data from sources including Oracle Fusion Cloud, Salesforce, and Adaptive Planning.
• Implement data quality checks, monitoring, observability, and security practices.
• Monitor, troubleshoot, and optimize pipeline performance, scalability, and data availability.
• Create dashboards and advanced visualizations in Power BI and document pipelines for maintainability and knowledge sharing.

Requirements

• 5+ years of experience as a Data Engineer or in a similar role.
• Bachelor’s degree.
• Strong experience with Snowflake, SQL, Python, data modeling, and data transformation.
• Proven experience designing and building data pipelines.
• Strong problem-solving, analytical, communication, and collaboration skills.
• Ability to work independently, collaborate with cross-functional teams, and align analytics initiatives with business goals.

Nice to have

• Experience extracting and loading data from Oracle Fusion Cloud, especially Finance, Supply Chain, and Manufacturing applications.
• Experience with Salesforce, Monte Carlo, Databricks, Fivetran, dbt, Coalesce, and Power BI.

Culture & Benefits

• Inclusive work environment focused on respecting individual diversity, dignity, and merit.
• Opportunity to contribute to healthcare innovation and data-driven business value.
• Full-time employment with a cross-functional and collaborative organization.