Data Engineer (Python + AWS + DBT) - Remote - Latin America
FullStack
Uma candidatura completa num minuto — currículo e carta de apresentação personalizados, prontos a enviar.
Vantagens oferecidas por esta oferta de emprego
Resumo da oferta
FullStack seeks a Data Engineer (Python + AWS + DBT) for project-based collaborations with U.S. clients. You will work directly with client teams, architects, and engineers to build robust data pipelines and integrations.
Requirements include 4+ years in data engineering, strong Python and SQL skills, and experience with DBT, Airbyte, and AWS services. The role prefers Agile/Scrum experience and remote collaboration across the Americas.
Qualificações
- 4+ years of professional experience in Data Engineering.
- Advanced English is required.
- Successful completion of a four-year college degree is required.
- Strong experience with Python for data engineering, data processing, transformation, and automation.
- Strong SQL experience with PostgreSQL and data modeling concepts.
- Hands-on experience with DBT for transformations.
- Experience with Airbyte for data integration and ingestion.
- Experience with the AWS data stack (S3, Lambda, Step Functions).
- Experience developing and integrating RESTful APIs in production environments.
- Hands-on experience with Docker, Linux CLI, and GitHub Actions for CI/CD.
- Healthcare data experience is preferred.
- Ability to translate data requirements into scalable solutions.
- Experience working in Agile/Scrum teams.
- Ability to own work and drive commitments.
Responsabilidades
- Join our talent network to work on flexible, project-based data engineering work.
- Integrate directly into client teams and collaborate daily with designers and engineers.
- Translate data requirements into reliable, scalable solutions and pipelines.
Conhecimentos
Formação académica
Ferramentas
Descrição da oferta de emprego
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.
- 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.
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.
- 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.
Our talent network is committed to fostering a diverse, inclusive, and accessible environment where IT professionals can find opportunities that match their skills. We welcome individuals of all races, religions, genders, sexual orientations, national origins, abilities, and experiences. Our focus is on connecting talent with projects based on qualifications, ensuring a fair and transparent process that values diverse perspectives and global collaboration.
Learn more about our Applicants Privacy Notice.
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