Data Engineer handling data ingestion, storage, and maintenance for an AI startup in public affairs. Collaborating with cross-functional teams to improve data quality and support AI use cases.
Responsibilities
Design, build, and maintain data ingestion pipelines for a large number of external sources
Own data storage and data modeling decisions that support product and AI use cases
Ensure data quality, consistency, and freshness across the platform
Improve performance, reliability, and cost-efficiency of data pipelines
Enable horizontal scaling into new geographic markets through robust data integrations
Safely evolve data schemas and infrastructure without disrupting production systems
Collaborate closely with backend, fullstack, and AI engineers to support downstream features
Take long-term ownership of core data systems and reduce operational risk
Requirements
A few years of experience designing and building modern data platforms, pipelines and storage systems
Strong data and software engineering fundamentals
Comfort handling complex or heterogeneous data sources
Thoughtful, risk-aware approach to changes in production systems
Enjoyment of ownership and long-term responsibility for infrastructure
Ability to collaborate with product-oriented engineering teams.
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