Data Engineer (Python + AWS + DBT) - Remote - Latin America
FullStack
Fecha: hace 8 horas
ciudad: Guatemala Ciudad, Guatemala
Tipo de contrato: Tiempo completo
About FullStack
FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities — AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With Fullstack, you move forward with confidence.
We’re Most Proud Of
Join our talent network and connect with U.S. clients for flexible, project-based development work as a Data Engineer (Python + AWS + DBT).
Learn more about our Applicants Privacy Notice.
FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities — AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With Fullstack, you move forward with confidence.
We’re Most Proud Of
- Offering life-changing career opportunities to talented software professionals across the Americas.
- Building highly-skilled software development teams for hundreds of the world’s greatest companies.
- Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
- Our 4.1-star rating on GlassDoor.
- Our client Net Promoter Score of 68, twice the industry average.
Join our talent network and connect with U.S. clients for flexible, project-based development work as a Data Engineer (Python + AWS + DBT).
- You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.
- 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. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
- 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.
- Applicants must be currently authorized to work in the country of this job posting on a full-time basis.
- FullStack will not sponsor applicants for work visas now or in the future.
- 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.
Learn more about our Applicants Privacy Notice.
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