Full-Stack Data Engineer — Remote LATAM

Wintermeyer Ventures; Cambridge (MA); Remote; USD 60,000 - 90,000; Full time

Job summary

Wintermeyer Ventures is seeking a senior full-stack Software Engineer to build and scale data workflows for AI training data systems. You will work across web front-end (Next.js/React) and desktop tooling (Python), shaping high-throughput pipelines and guiding a growing LATAM engineering team.

Ideal candidates have 3+ years in production data workflows, strong CS fundamentals, and experience with cloud platforms, Kubernetes, and data streaming tools.

Qualifications

• 3+ years of professional experience building and scaling data workflows in production environments.
• Proficiency in TypeScript/JavaScript (Next.js, React) for front-end and Node.js/Python for back-end development.
• Hands-on experience architecting and optimizing high-throughput data pipelines.
• Experience with serverless architecture and cloud platforms (AWS or GCP).
• Familiarity with container orchestration using Kubernetes.
• Experience with data streaming and messaging systems such as Kafka or RabbitMQ.
• Experience with in-memory data stores (Redis) and search/analytics tooling (Elasticsearch).
• Strong CS fundamentals, ideally from a rigorous academic or professional background.
• Ability to work remotely from LATAM and align with US working hours.
• Authorization to work without visa sponsorship.

Responsibilities

• Build and scale complex data-capturing workflows across a web front end (Next.js) and desktop tooling (Python).
• Architect and optimize high-throughput data pipelines designed to handle heavy, sustained loads.
• Collaborate closely with the founding team to define product strategy and ship features quickly.
• Set engineering best practices and lay the architectural groundwork for future team growth.
• Mentor and guide junior engineers as the LATAM team expands.

Job description

Wintermeyer Ventures is seeking a senior full-stack Software Engineer to build and scale data workflows for AI training data systems. You will work across web front-end (Next.js/React) and desktop tooling (Python), shaping high-throughput pipelines and guiding a growing LATAM engineering team.

Ideal candidates have 3+ years in production data workflows, strong CS fundamentals, and experience with cloud platforms, Kubernetes, and data streaming tools.