Data Engineer

RemoFirst provides a global platform that enables employers to hire talent across geographical boundaries, offering people management tools, health insurance, and financial benefits. The company manages employees and contractors for Fortune 500 corporations and global startups, functioning as a fast-growing private enterprise backed by venture funding and scaling AI-driven solutions.

• Design, build and maintain scalable data pipelines using modern data engineering tools;
• Develop and maintain dimensional and semantic data models to support analytics and operational use cases;
• Build curated data products that support analytics and modern AI workloads;
• Design data schemas and storage strategies optimized for both analytical and AI workloads;
• Build and maintain version control workflows and isolated development/test environments;
• Manage and optimize cloud-based data infrastructure ensuring performance, scalability, reliability and cost efficiency;
• Contribute to the architecture and evolution of the organization's modern data platform;
• Collaborate closely with AI, Analytics, and Product teams to deliver scalable, high-quality data solutions.

• Have 5+ years of hands-on experience in Data Engineering with proven delivery in production environments;
• Demonstrate strong expertise in building scalable data pipelines using Python and SQL;
• Have hands-on experience with modern data engineering tools such as dbt, Airflow, Prefect, or similar;
• Possess strong experience with dimensional data modeling and semantic data models;
• Have experience working with cloud platforms, including services such as S3, Redshift, Athena, Glue, and Lambda;
• Show hands-on experience designing, building and operating modern data infrastructure, including storage, compute, orchestration, and monitoring;
• Be familiar with modern AI architectures and the data requirements for LLMs, AI agents and RAG applications;
• Bring a strong ownership mindset with the ability to thrive in a fast-paced startup environment;
• Translate evolving business, analytics and AI requirements into scalable data solutions;
• Communicate effectively and collaborate well across Data, AI, Product, and Engineering teams;
• Balance architectural thinking with hands-on execution as a senior engineer.

• Competitive compensation;
• 100% Remote work;
• PTO regulated by local statutory;
• Startup environment with growth opportunities and direct impact.