Data Engineer

Data Engineer - Remote - Latin America | FullStack Labs

Join to apply for the Data Engineer - Remote - Latin America role at FullStack Labs.

About FullStack

FullStack is the most transparent IT talent network, connecting highly skilled individuals with top global companies and Silicon Valley startups for remote, on-demand projects. We focus on building a trusted, high-performance network where talent can thrive in a positive, respectful, and supportive environment. By prioritizing transparency, fair opportunities, and professional growth, we empower our engineers to deliver their best work while collaborating with innovative teams worldwide.

• Offering life-changing opportunities for talented software professionals across the Americas.
• Enhancing highly-skilled software development teams of hundreds of the world’s greatest companies.
• Our 4.2-star rating on Glassdoor.
• Our client Net Promoter Score of 68, twice the industry average.

We’re Most Proud Of

• Offering life-changing opportunities for talented software professionals across the Americas.
• Enhancing highly-skilled software development teams of hundreds of the world’s greatest companies.
• Our 4.2-star rating on Glassdoor.
• Our client Net Promoter Score of 68, twice the industry average.

The Opportunity

Join our talent network and connect with U.S. clients for flexible, project-based development work as a Data Engineer. 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 Data Engineering experience
• Advanced English is required
• Successful completion of a four-year college degree is required
• Strong proficiency in Python, especially in Linux environments
• Advanced SQL skills with hands-on experience in Snowflake and MySQL
• Deep understanding of data modeling, schema design, and performance optimization
• Proficiency with Python data libraries like NumPy, Pandas, and SciPy
• Proven experience in building and maintaining real-time pipelines using Kafka
• Familiarity with AWS services such as Lambda, Kinesis, S3, and CloudWatch
• 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 and deliver on team commitments
• Ability to identify with the goals of FullStack\'s clients
• Ability to consistently work 40 hours per week

• 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.

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