About FullStack

FullStack is your AI-native engineering partner, dedicated to transforming AI capability into certainty. Our unique strengths lie in integrating AI into products, providing elite talent, and ensuring transparent execution. With over 600 clients across North America, we are your go-to partner for AI engineering needs.

We’re Most Proud Of

• Providing life-changing career opportunities for software professionals across the Americas.
• Building skilled software development teams for leading global companies.
• Delivering hundreds of successful custom software solutions impacting millions.
• Achieving a 4.1-star rating on GlassDoor.
• Maintaining a client Net Promoter Score of 68, twice the industry average.

The Opportunity

Connect with U.S. clients for flexible, project-based work as a Data Platform Engineer (Databricks). You will collaborate directly with our client's team, working alongside their designers and engineers.

What We're Looking For

• 5+ years in Data Engineering, Platform Engineering, or DevOps.
• Advanced English and a four-year degree are required.
• Experience with Databricks on AWS in enterprise settings is essential.
• Familiarity with Terraform, Infrastructure as Code, and CI/CD frameworks.
• Proficiency in Python and SQL is necessary.
• Understanding of Apache Spark and distributed data processing.
• Experience with monitoring and observability for cloud platforms.
• Ability to work on Agile/Scrum teams with attention to detail and strong ownership.

Nice To Have

Engineers enthusiastic about AI in their workflows will find personal project experience with tools like Cursor or Codex beneficial.

Work Authorization Requirements

• Must be authorized to work in the job's country on a full-time basis.
• We do not sponsor work visas now or in the future.

What We Offer

• Competitive pay and 100% remote work.
• Opportunities with leading startups and Fortune 500 companies.
• Continuing education and career growth opportunities.

Our talent network is committed to diversity, inclusivity, and accessibility, connecting talent with projects based on qualifications.

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