Data Engineer / Integrations Lead (AI-Native)

Build the intelligent data foundations that power Skiffra’s AI-native orchestration platform.

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About Skiffra

Skiffra is building the operating system for intelligent enterprises. We connect data, systems, and people into a unified intelligence layer that learns continuously and moves with purpose. Across industries, organizations struggle with fragmented systems that bury expertise and create waste. We’re replacing that waste with orchestration that amplifies human judgment and makes complex work faster, clearer, and more adaptive.

Skiffra unites human insight with machine intelligence, transforming messy reality into actionable, real-time reasoning. We’re not automating yesterday’s tasks—we’re designing for the intelligent enterprises of tomorrow.

The Role

We’re hiring a Data Engineer / Integrations Lead to build the data backbone that makes AI-native orchestration possible. This role goes beyond traditional data engineering. You’ll design an environment built for continuous learning, real-time decision-making, and agentic automation across heterogeneous enterprise systems.

You’ll also help create a next-generation capability at the heart of Skiffra: a Data Engineering Agent trained to autonomously build, validate, and operate data systems. This is a hands-on, zero-to-one role for someone who wants to prototype the future of data engineering—not maintain the past.

What You’ll Do

  • Design and build AI-assisted pipelines using medallion-style architecture (ingest → refine → gold)

  • Build the foundation for a Data Engineering Agent, mapping patterns, metadata, lineage, and rules it will eventually automate

  • Integrate fragmented systems (ERP, finance, MES, telemetry, logs, documents) into one coherent environment

  • Normalize and model enterprise data so AI agents can reason across domains without brittle assumptions

  • Develop real-time interfaces that feed live decision-making

  • Work closely with product, full-stack, and LLM engineering teams to align data structures with workflows and orchestration logic

  • Prototype rapidly using both direct engineering and agent-guided tooling

  • Document the evolving data ecosystem, codifying patterns that accelerate future automation

  • Lead integrations with third-party APIs and operational systems as platform scope expands

You’ll Thrive Here If You

  • Love designing adaptive data systems built for intelligence, not just reporting

  • See messy data as a map of how work really happens

  • Think in systems and flows, not isolated tables

  • Believe the future of data engineering is AI-augmented and continuously learning

  • Enjoy working across data modeling, API engineering, workflows, and integrations

  • Prioritize simplicity, clarity, and momentum

  • Learn fast and document faster

What You Bring

  • Strong foundation in data engineering, backend engineering, systems design, or integrations

  • Experience with modern data architectures (Snowflake, Databricks, Lakehouse)

  • Curiosity about agent-driven automation and AI-native tooling

  • Ability to design data models that support reasoning and orchestration

  • Experience building integrations across APIs, enterprise systems, and operational tooling

  • High learning velocity with comfort in ambiguous, cross-functional roles

  • Strong instincts for quality: lineage, metadata, validation, observability

  • Experience handling schema drift and evolving operational environments

Why Skiffra

You’ll join at the moment when architecture, culture, and long-term equity are still being shaped. You’ll work alongside product thinkers, engineers, and AI builders obsessed with transforming organizations into intelligent systems that waste nothing and learn from everything.

Your data architecture will come alive inside operating mines, manufacturing floors, and global enterprises—enabling decisions that previously took days to surface. This is your chance to help build the next generation of data engineering.

Details

  • Location: Hybrid – Los Angeles preferred, with flexible remote and on-site sprints

  • Type: Full-time, founding team

  • Compensation: Competitive salary + meaningful equity

  • Benefits & Eligibility:
    This position is eligible for Skiffra’s standard benefits, including health insurance and retirement plans, and may also qualify for participation in the Company's bonus and incentive programs.

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