Senior Data Engineer - Remote - Latin America

About Full Stack

Full Stack 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 Glass Door.
• 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 Senior Data Engineer.

• You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.

• 5+ years of professional experience as a Data Engineer.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Strong proficiency in Python, including building and maintaining data pipelines and integrations.
• Proven experience with SQL.
• Hands‑on experience with an ETL tool is required.
• Experience using Apache Airflow (open‑source, Python‑based) for ETL orchestration.
• Snowflake experience.
• Salesforce, including experience working with multi‑instance environments.
• Experience with API development and integrations, particularly integrating data into Snowflake.
• Experience with Tableau Dashboarding and data visualization is considered a plus, particularly for supporting reporting and analytical use cases.
• Familiarity with AWS would be advantageous, as it enables effective collaboration with infrastructure and data teams.
• Exposure to Eloqua, especially within marketing data workflows, would be beneficial.
• 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