This is a brand-new challenge, and were looking for an exceptional Data Engineer to join us.
If youre ready to pioneer the future of data engineering with AI, wed love to have you on board the rocketship.
What youll do:
Architect metadata-aware data platforms that support scalable and observable pipelines.
Create and evolve knowledge graphs, schemas, and lineage tracking systems.
Drive the teams expertise in data modeling, schema evolution, and privacy-first engineering.
Work with high-scale data ETLs and Data Serving layers on AWS and GCP.
Build and maintain data foundations for agentic AI systems.
Design and build advanced solutions to analyze metadata, identify data quality issues, and provide remediation insights.
Collaborate with internal teams across platform, product, and data domains.
What you have:
4+ years of hands-on experience in backend, data engineering, or data platform engineering roles.
Deep knowledge of data modeling, pipeline architecture, and data operations.
Proficiency in public cloud environments such as AWS and GCP, working with tools like Athena, EMR, BigQuery, Vertex AI.
Familiarity with data governance and schema evolution.
Solid backend engineering foundations, with the ability to design robust services and APIs.
A collaborative mindset, curiosity, and drive to learn and lead.
Bonus points:
Familiarity with metadata frameworks (DataHub, OpenMetadata, DataPlex, etc).
Passionate about building or integrating LLM-based systems (LangChain, RAG, vector DBs, etc.).
Recommended by our employee.
