[Hiring] Senior Data Engineer @FullStack Labs

Role Description

We are looking for a Data Engineer with the following qualifications:

• 5+ years of professional experience in Data Engineering.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Strong professional experience with Python for data engineering, processing, transformation, and automation.
• Hands-on experience with Power BI, including building dashboards, reports, and data visualizations.
• Experience working with data pipelines, data transformation, and data integration in production environments.
• Solid SQL experience and a strong understanding of data modeling and database concepts.
• Experience working with healthcare or health-related data is strongly preferred.
• Ability to collaborate with technical and business stakeholders and translate data requirements into reliable, actionable solutions.
• Ability to work through new and difficult issues and contribute to libraries as needed.
• Ability to create and maintain continuous integration and delivery of applications.
• Forensic attention to detail.
• A positive mindset and a can-do attitude.
• Experience working on Agile/Scrum teams.
• Meaningful experience working on large, complex systems.
• Ability to take extreme ownership over your work.
• Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them.

Qualifications

• 5+ years of professional experience in Data Engineering.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Strong professional experience with Python for data engineering, processing, transformation, and automation.
• Hands-on experience with Power BI, including building dashboards, reports, and data visualizations.
• Experience working with data pipelines, data transformation, and data integration in production environments.
• Solid SQL experience and a strong understanding of data modeling and database concepts.
• Experience working with healthcare or health-related data is strongly preferred.
• Ability to collaborate with technical and business stakeholders and translate data requirements into reliable, actionable solutions.
• Ability to work through new and difficult issues and contribute to libraries as needed.
• Ability to create and maintain continuous integration and delivery of applications.
• Forensic attention to detail.
• A positive mindset and a can-do attitude.
• Experience working on Agile/Scrum teams.
• Meaningful experience working on large, complex systems.
• Ability to take extreme ownership over your work.
• Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them.

Requirements

• 5+ years of professional experience in Data Engineering.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Strong professional experience with Python for data engineering, processing, transformation, and automation.
• Hands-on experience with Power BI, including building dashboards, reports, and data visualizations.
• Experience working with data pipelines, data transformation, and data integration in production environments.
• Solid SQL experience and a strong understanding of data modeling and database concepts.
• Experience working with healthcare or health-related data is strongly preferred.
• Ability to collaborate with technical and business stakeholders and translate data requirements into reliable, actionable solutions.
• Ability to work through new and difficult issues and contribute to libraries as needed.
• Ability to create and maintain continuous integration and delivery of applications.
• Forensic attention to detail.
• A positive mindset and a can-do attitude.
• Experience working on Agile/Scrum teams.
• Meaningful experience working on large, complex systems.
• Ability to take extreme ownership over your work.
• Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them.

Benefits

• Competitive pay.
• 100% remote work.
• The ability to work with leading startups and Fortune 500 companies.
• Continuing education opportunities.
• Opportunity to grow and expand your career.