Senior Data Engineer

Job not on LinkedIn

🔥 11 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Remofirst

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Remofirst is a full-service Employer of Record (EOR) company that facilitates global employment solutions for businesses. It allows companies to employ talent in over 180 countries without establishing multiple international entities. Remofirst provides a range of services including global payroll management, onboarding, and managing international employees and contractors, ensuring compliance with local legal requirements. The company also offers international health insurance, assistance with visas and work permits, and comprehensive workforce management solutions, all aimed at simplifying the process of hiring and managing global talent. Remofirst is a versatile platform tailored to meet the needs of startups and large enterprises for smooth global expansion and efficient HR management.

📋 Description

• Design, build and maintain scalable data pipelines using modern data engineering tools (e.g., dbt, Airflow, Prefect). • 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.

🎯 Requirements

• 5+ years of hands-on experience in Data Engineering with proven delivery in production environments. • Strong expertise in building scalable data pipelines using Python and SQL. • Hands-on experience with modern data engineering tools such as dbt, Airflow, Prefect, or similar. • Strong experience with dimensional data modeling and semantic data models. • Experience working with cloud platforms (AWS preferred), including services such as S3, Redshift, Athena, Glue, and Lambda. • Hands-on experience designing, building and operating modern data infrastructure, including storage, compute, orchestration, and monitoring. • Familiarity with modern AI architectures and the data requirements for LLMs, AI agents and RAG applications. • Strong ownership mindset with the ability to thrive in a fast-paced startup environment. • Ability to translate evolving business, analytics and AI requirements into scalable data solutions. • Effective communicator who collaborates well across Data, AI, Product, and Engineering teams. • A senior engineer who balances architectural thinking with hands-on execution.

🏖️ Benefits

• Competitive compensation • 100% remote work • PTO regulated by local statutory