Skiffra · 1 month ago
Data Engineer / Integrations Lead (AI-Native)
Skiffra is building the intelligence layer for modern enterprises, designing AI-native orchestration systems. The Data Engineer will design and own data pipelines and integrations for Skiffra’s platform, working closely with the founding team on complex, real-world systems.
Computer Software
Responsibilities
Build and maintain real-time and batch data pipelines across enterprise systems
Integrate ERPs, operational tools, APIs, and legacy systems into a clean internal data layer
Design schemas and data contracts consumed by LLMs, agents, and workflow engines
Own ingestion, normalization, and transformation of structured, semi-structured, and unstructured data
Partner closely with product and engineering to translate operational needs into data systems
Implement monitoring, observability, and baseline data quality checks
Operate with speed and rigor in environments where reliability matters
Qualification
Required
7+ years building production data or backend systems
Strong Python and SQL
Experience with ETL/ELT pipelines and API-based integrations
Familiarity with cloud data infrastructure and streaming or event-driven systems
Ability to work independently and make sound technical tradeoffs
Comfort operating without perfect requirements or documentation
Candidates must be authorized to work in the United States. We are not able to offer visa sponsorship for this role
Preferred
Experience with industrial, operational, or enterprise data systems
Exposure to AI- or ML-adjacent data workflows
Experience designing systems consumed by LLMs or agents
Startup or founding-team experience
Benefits
Health insurance
Retirement plans
Participation in the Company’s bonus and incentive programs
Company
Skiffra
Skiffra builds adaptive systems that unify data, decisions, and workflows so teams can move with clarity and act in real time.
Funding
Current Stage
Early StageCompany data provided by crunchbase