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Data Engineer

icon building Company : Remofirst
icon briefcase Job Type : Full Time
icon remote-alt Remote / Work from Home

Number of Applicants

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Job Description - Data Engineer

RemoFirst empowers employers to be free from geographical boundaries when accessing talent, allowing employees to pursue opportunities wherever they may exist. We are on a mission to be the FIRST to truly revolutionise the industry and be a generational company.

Our platform offers a full-range people management tool, employee benefits like health insurance, and financial benefits, and enabling clients to hire anyone from anywhere with one click. RemoFirst manages employees and contractors for Fortune 500 companies (e.g., Microsoft, Mastercard) and the best startups worldwide (e.g., TransferGo). 

We are one of the fastest-growing private companies in the USA, recently at 85th position on the Inc. 5000 list of fastest-growing companies in 2025. Backed by $40+M in venture funding, we are scaling rapidly and investing heavily in AI-driven data solutions to supercharge our operations.

We’re hiring a Data Engineer to join our team at the intersection of engineering, and AI innovation. This role is perfect for a passionate Data practitioner who wants to see their work directly impacts new innovative products, company’s growth and leads to expanding own competencies in the field.

What you'll be doing:

    • Build data pipelines:
    • Build ETL/ELT pipelines for extracting data from sources and placing it in target destinations.
    • Transform data into formats usable by AI-based solutions (in RAG, fine-tuning scenarios)
    • Manage datasets for AI model training & fine-tuning:
    • Work on instruction tuning datasets
    • Synthetic data generation
    • Evaluation & “Golden” datasets:
    • Build “golden” datasets with domain experts
    • Build automated evaluation pipelines

What you’ll need:

    • Technical Skills:
    • Strong data engineering background: Python, SQL, Rust is a nice-to-have
    • Familiarity with AI concepts - RAG, fine-tuning, datasets
    • Experience in building ETL/ELT pipelines
    • Experience:
    • 2–5 years in data engineering space, at least 1 year in AI-focused environment
    • Experience in AWS environment
    • Traits:
    • Ability to take ownership, but also cooperate in small teams
    • Analytical mind
    • Being detail-oriented

Why work at RemoFirst?

    • Startup environment: RemoFirst is an early-stage start-up. You have a voice and can influence and grow rapidly.
    • Growth opportunity: This is a chance to define how AI transforms a category-leading startup - and grow your career as we scale. As a part of our AI team you will be able to learn from other engineers and ongoing R&D projects.
    • Direct impact: Your work will be at the center of how we grow revenue, support customers, and differentiate in the market.
    • Work for a Market Leader: Scale a project that counts market-leading companies like Microsoft, Mastercard, and more as happy customers. 
    • Leadership visibility: Reporting into the AI Lead.
    • Compensation and perks are great: Competitive compensation. 100% remote work. PTO regulated by local statutory.
    • Culture: We lead with respect, kindness, and the right to fail. We value hard yet smart work. Diversity and inclusion are part of our DNA.  As we grow and evolve, we welcome your input to help us define our culture further. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Original job Data Engineer posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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About the Company

Remofirst

Use Remofirst as your Employer of Record and onboard full-time employees from anywhere in the world and streamline payroll, taxes and compliances policies.

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