Data engineer • oakland ca
We're seeking a Senior Data Engineer to build and own our data platform and infrastructure.You will design systems that power transaction processing, analytics, reporting, and real-time insights ac...Show more
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Summary: Location: Oakland, CA Duration: 8 Months Responsibilities: Build and maintain backend datasets and transformations in Palantir Foundry Develop React TypeScript frontend components for comp...Show more
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Build and maintain backend datasets and transformations in Palantir Foundry.Develop React TypeScript frontend components for compliance reporting.Integrate Foundry datasets with frontend views and ...Show more
Disney Entertainment and ESPN Product & Technology.Technology is at the heart of Disney’s past, present, and future.Disney Entertainment and ESPN Product & Technology is a global organization of en...Show more
The average salary range is between $ 107,167 and $ 179,000 year , with the average salary hovering around $ 135,000 year .
The average salary range is between $ 105,570 and $ 172,017 year , with the average salary hovering around $ 130,000 year .
Description:
We're seeking a Senior Data Engineer to build and own our data platform and infrastructure. You will design systems that power transaction processing, analytics, reporting, and real-time insights across our global financial product.
You will work on high-integrity financial data systems, where correctness, audibility, and consistency are critical.
Our backend is a Python (FastAPI) monolith supported by Lambda, Kinesis, Postgres, Redis on AWS. You will work closely with backend systems to ensure data is correctly captured, transformed, and exposed. You will design and build the systems that capture, process, and serve data across the platform, working closely with backend services and event streams.
Parts of this are greenfield, where you will define architecture, data models, and pipeline design from first principles.
· 5+ years building and shipping data pipelines and platforms
· Experience at banking/credit card/crypto/remittances/lending startups
· Experience with data modeling, ETL/ELT, or event-driven systems
· Experience generally across the backend: working with Postgres, Redis, AWS, etc.
Experience in financial technology
Full-stack engineering skillset and ability to flex across other parts of the stack
