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
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
Designs, develops, modifies, configures, debugs and evaluates jobs for extracting data from various sources, implements transformation logic, and stores data in various formats fit for use by stake...Show more
At this technology driven investment firm, "data is everything" isn't a talking point.You will own the data layer that powers quantitative researchers, data scientists, and portfolio managers.Step ...Show more
Shape a brighter financial future with us.Together with our members, we’re changing the way people think about and interact with personal finance.We’re a next-generation financial services company ...Show more
Patreon is the best place for creators to build memberships by providing exclusive access to their work and a deeper connection with their communities.We’re building a content and community platfor...Show more
Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community.We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help the...Show more
Patreon is the best place for creators to build memberships by providing exclusive access to their work and a deeper connection with their communities.We’re building a content and community platfor...Show more
This role provides technical leadership in designing and optimizing ETL/ELT frameworks using Azure data services (Fabric, Data Lake, Data Factory), integrating data from ERP, CRM, and operational s...Show more
We are looking for a Snowflake Data Engineer to join an insurance-focused delivery team supporting a major client programme.This is a hands-on engineering role for someone who is strong in Snowflak...Show more
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
Fortune 500 brands and trailblazing startups across 17+ industries.We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Bes...Show more
Lawrence Berkeley National Laboratory is hiring a Data Science Engineer within the Scientific Data division.The has an immediate opening for a software and data engineer (CSE2) in the area of multi...Show more
Open to all US candidates that can work - pm PST.The Data Engineering Platform Lead is responsible for the overall design, operation, and evolution of enterprise data platforms supporting analytics...Show more
Software Engineer (Data Production Team) San Francisco, New York, Or Kansas City Replica is a privacy-centric urban data platform that delivers critical insights about the built environment.With be...Show more
The Data Engineering team is a talented and diverse group of engineers that drive the company toward clean and informative data.As a member of the data engineering team, you’ll contribute toward a ...Show more
Location: Florida, Austin, NY, San Francisco, San Jose California, Chicago.Type: Full-time (Hybrid working) .The role involves leveraging data from multiple third-party sources as well as internal ...Show more
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
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
