Hybrid Data Engineer – Applied AI

Posted 3 weeks ago

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About the role

  • 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.

Benefits

  • Flexible work arrangements
  • Professional development opportunities

Job title

Data Engineer – Applied AI

Job type

Experience level

JuniorMid level

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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