Senior Data Platform Engineer — Remote, High-Impact Backend

Loop3; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

100% Remote

Salary in USD

Technical Leadership

Learning Budget

14 Days PTO

Flexible Schedule

High Autonomy

Job summary

Winclap is seeking a Data Platform Engineer to build the data backbone for AI-powered decision tools. You will design scalable pipelines, reliable infrastructure, and developer tooling to transform raw financial data into fast, investable insights.

You will own pipelines, APIs, orchestration, and platform observability, collaborating with product and leadership. The role emphasizes strong system design, Python fluency, and hands-on data-system expertise.

Qualifications

• 4-6+ years of backend or data engineering experience building production-grade systems.
• Strong system design chops — you've designed and shipped data platforms or infrastructure that people actually depended on.
• Python proficiency — your primary tool for pipelines, transformations, and automation.
• Data systems fundamentals — you understand databases (relational and otherwise), concurrency, event-driven architectures, and why consistency is hard.
• Performance debugging — you've diagnosed slow queries, bottlenecked pipelines, and overcomplicated schemas, and you know how to fix them.
• Generalist at heart — you can model complex data, build backend APIs, and wire up orchestration without needing a specialist for every layer.
• Executive communication in Spanish and English — you explain data architecture decisions clearly to both engineers and non-technical stakeholders.
• Ownership mindset — you take features from design through deployment and don't drop the ball in between.

Responsibilities

• Data ingestion pipelines that reliably pull from multiple sources.
• Transformation & enrichment layers turning multi-source data into clean, investable data.
• Backend services and APIs that serve real-time signals to AI agents and product surfaces.
• Developer tooling and abstractions to boost team productivity.
• Platform observability — monitoring, alerting, and data quality frameworks.
• Orchestration systems coordinating multi-step data workflows across the stack.

Skills

Backend engineering

Python

Data pipelines

System design

Databases

Distributed systems

Performance tuning

Bilingual (Spanish/English)

Tools

Snowflake

AWS

GCP

Azure

Kafka

Job description

Winclap is seeking a Data Platform Engineer to build the data backbone for AI-powered decision tools. You will design scalable pipelines, reliable infrastructure, and developer tooling to transform raw financial data into fast, investable insights.

You will own pipelines, APIs, orchestration, and platform observability, collaborating with product and leadership. The role emphasizes strong system design, Python fluency, and hands-on data-system expertise.