[Hiring] Data Engineer @FullStack Labs

Role Description

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

• 4+ 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, data processing, transformation, and automation.
• Strong SQL experience, with hands-on experience working with PostgreSQL and data modeling concepts.
• Hands-on experience building and maintaining data pipelines and transformation workflows using DBT.
• Experience with data integration and ingestion, including hands-on experience with Airbyte.
• Experience working with the AWS data stack, particularly S3, Lambda, and Step Functions.
• Experience developing and integrating RESTful APIs in production environments.
• Hands-on experience with Docker, Linux CLI, and GitHub Actions for CI/CD.
• 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, scalable 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

• 4+ 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, data processing, transformation, and automation.
• Strong SQL experience, with hands-on experience working with PostgreSQL and data modeling concepts.
• Hands-on experience building and maintaining data pipelines and transformation workflows using DBT.
• Experience with data integration and ingestion, including hands-on experience with Airbyte.
• Experience working with the AWS data stack, particularly S3, Lambda, and Step Functions.
• Experience developing and integrating RESTful APIs in production environments.
• Hands-on experience with Docker, Linux CLI, and GitHub Actions for CI/CD.
• 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, scalable 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

• 4+ 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, data processing, transformation, and automation.
• Strong SQL experience, with hands-on experience working with PostgreSQL and data modeling concepts.
• Hands-on experience building and maintaining data pipelines and transformation workflows using DBT.
• Experience with data integration and ingestion, including hands-on experience with Airbyte.
• Experience working with the AWS data stack, particularly S3, Lambda, and Step Functions.
• Experience developing and integrating RESTful APIs in production environments.
• Hands-on experience with Docker, Linux CLI, and GitHub Actions for CI/CD.
• 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, scalable 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.