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 revolutionise the industry and be a truly generational company.
Our platform offers a full range of people management tools, employee benefits like health insurance, and financial benefits, 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 solutions to supercharge our operations.
We are looking for a Senior Data Engineer to design, build, and operate a scalable, cloud-native data platform that supports both analytics and AI-driven use cases. This role goes beyond traditional data warehousing .You will work closely with AI engineers to build the data foundation that powers LLM applications, agent-based systems and RAG solutions.
You will be responsible for building reliable data pipelines, developing curated data models and products, and ensuring high-quality, trusted data is readily available for analytics and AI workloads.
Responsibilities:
- 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.
What you’ll need:
- 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.
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 Data 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.
Skills Required
- 5+ years of hands-on Data Engineering experience in production environments.
- Strong expertise building scalable data pipelines using Python and SQL.
- Hands-on experience with modern data engineering tools such as dbt, Airflow, or Prefect.
- Strong experience with dimensional data modeling and semantic data models.
- Experience with cloud platforms (AWS preferred) and services such as S3, Redshift, Athena, Glue, and Lambda.
- Experience designing, building, and operating modern data infrastructure (storage, compute, orchestration, monitoring).
- Familiarity with AI architectures and data requirements for LLMs, AI agents, and RAG applications.
Remofirst Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Remofirst and has not been reviewed or approved by Remofirst.
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Healthcare Strength — Core EOR administration covers statutory benefits and can add private health insurance, with both global and localized plan options. Coordinated delivery across many countries streamlines compliant coverage for distributed teams.
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Flexible Benefits — Benefits can be tailored by country and augmented with add-ons to match market expectations or internal policy. Country-specific guidance and customization enable aligning packages with local norms.
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Affordable Benefits — Pricing is positioned below many larger EORs, which can free budget for richer supplemental benefits. Cost competitiveness helps teams fund private medical options when desired.
Remofirst Insights
What We Do
Employer of Record & compliance for your remote team. All-in-one platform to hire anyone from anywhere with one click. Same-day onboarding. Available in 180+ countries
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