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Urgent! Databricks Engineer - Remote - Latin America Job Opening In Comuna 13 – Now Hiring FullStack Labs

Databricks Engineer Remote Latin America



Job description

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 Databricks Engineer.

We’re part of a team that collaborates with client teams daily.

  • 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 experience working as a Data Engineer, Big Data Engineer, or similar role.

  • Advanced English is required.

  • Successful completion of a four-year college degree is required.

  • Hands-on experience with Databricks, Apache Spark, and Delta Lake.

  • Proficiency in Python, SQL, and optionally Scala.

  • Experience with cloud platforms (Azure Data Factory, AWS Glue, or GCP Dataflow).

  • Strong understanding of data modeling, data warehousing, and ETL best practices.

  • Knowledge of version control systems (Git), CI/CD pipelines, and containerization (Docker, Kubernetes).

  • Solid understanding of data modeling, data warehousing, and data governance principles.

  • 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.

Learn more about our Applicants Privacy Notice.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Engineering and Information Technology

Industries

  • IT Services and IT Consulting
  • Computer and Network Security
  • Information Services

Referrals increase your chances of interviewing at FullStack Labs by 2x

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