Senior Data Engineer - Remote - Latin America

FullStack Labs; Trujillo; A distancia; PEN 278,000 - 419,000; Jornada completa

Descripción de la vacante

A leading IT talent network is looking for a Senior Data Engineer to connect with U.S. clients for flexible, project-based work. The ideal candidate will have over 5 years of experience, strong skills in Python and SQL, and the ability to work 40 hours per week. This remote position offers competitive pay and opportunities for career growth, all within a diverse and inclusive environment.

Servicios

Competitive pay

100% remote work

Continuing education opportunities

Opportunity to grow and expand your career

Formación

• 5+ years of professional experience as a Data Engineer.
• Advanced English is required.
• Forensic attention to detail.

Responsabilidades

• Integrate into clients' teams for daily collaboration.
• Work on large, complex systems.
• Deliver on commitments to clients.

Conocimientos

Experience as a Data Engineer

Proficiency in Python

Experience with SQL

ETL tool experience

Tableau Dashboarding

Salesforce knowledge

Agile/Scrum experience

Educación

Bachelor's degree

Herramientas

Snowflake

Descripción del empleo

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.

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

What We're Looking For

• 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.
• Proven experience with SQL.
• Hands-on experience with an ETL tool is required.
• Snowflake experience is considered a plus.
• Ability to work with Tableau Dashboarding and data visualization is an advantage.
• Salesforce and Eloqua knowledge 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 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.
• Ability to consistently work 40 hours per week.

What We Offer

• 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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