As a Senior Data Engineer, you will partner directly with our CTO to architect the semantic backbone of our platform, taking full ownership of the distributed pipelines and knowledge graph ontologies that bring our mission to life. Join our nerdy, fast-paced team to build the semantic structures that make our mission possible.
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Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
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Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data
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Develop ontologies to translate abstract domain logic into clear, queryable graph models and vice versa
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Implement robust, scalable processing pipelines for time-, resource-, and cost-based data leveraging distributed systems (e.g., using dbt, dlt, etc.)
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Drive the integration of LLM-driven workflows to automate the transformation of unstructured data into structured knowledge
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Define standards for data integrity, quality, and versioning across various systems and platforms
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Bring extensive practical experience with ELT/ETL processes, data integration platforms, and related tools such as Apache Spark, Apache Flink, Python/Scala
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Drive technical decisions by staying ahead of industry trends in data engineering and language models
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Partner closely with our CTO and product team to identify the highest-ranking product opportunities for leveraging data in decision-making processes