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Senior Architect designs Databricks-based big-data pipelines and AI/ML systems, guiding clients in healthcare, finance, and utilities to productionize GenAI and analytics workloads.
Senior backend engineer building scalable brokerage infrastructure for Japan’s financial markets, integrating with exchanges, regulators, and accounting systems while collaborating with global teams.
Build and maintain scalable brokerage infrastructure for Japan’s financial markets, integrating with local exchanges, regulators, and accounting systems while collaborating with global teams.
Build and optimize Alpaca's algo trading platform for high-performance brokerage services, designing low-latency systems and distributed architectures for global financial markets.
Build Alpaca's Advisory Suite services (block trading, portfolio management, IRA) as a full-stack engineer in a small, early-stage-team environment, requiring deep expertise in distributed systems, low-latency optimization, and trading/exchange systems (OMS) using low- and high-level languages like C/C++, Go, Rust, and Python.
Designs and advises on scalable data pipelines and lakehouse architectures using Databricks, Snowflake, or Microsoft Fabric, enabling AI/ML and GenAI workloads for enterprise clients.
Design and lead scalable data systems (pipelines, warehouses, lakes) using cloud platforms like AWS/Azure/GCP, Databricks, and Snowflake to enable data-driven decisions for clients.
Build and maintain scalable data pipelines and metrics for DoorDash’s logistics operations, partnering with engineers and analysts to deliver trusted, self-serve analytics using SQL, Python, and tools like Snowflake and Tableau.
Build and scale data pipelines, ETL workflows, and warehouse models to power analytics and reporting at DoorDash.
Build and scale Kotlin-based microservices for Wolt’s merchant platform, working with PostgreSQL, Kafka, and AWS in Helsinki or Stockholm.
Lead the design and scaling of DoorDash’s data infrastructure, building reliable pipelines and models for analytics, reporting, and financial systems using Python/Scala, Spark, Airflow, and streaming tech.
Build and maintain scalable data pipelines and metrics that power analytics across DoorDash’s operations, using SQL, Python/Scala, and ETL tools to deliver trusted insights for business teams.
Build and scale DoorDash’s in-house Apache Spark platform, optimizing runtime, shuffle service, and Kubernetes-based scheduling to power data, analytics, and ML workloads at massive scale.
Build and operate DoorDash’s in-house Apache Spark platform, optimizing runtime, multi-tenant scheduling on Kubernetes, cluster lifecycle automation, and observability tooling at company-wide scale.
We are changing FINANCE to finance CHANGE! At Climate First Bank , we’re redefining what banking can be. As a Florida Benefit Corporation and FDIC-insured commercial bank, we offer a full suite of personal and business…
Data Scientist at Asana designs experiments, builds ML models, and analyzes metrics to inform product strategy and drive business outcomes using Python, SQL, and statistical techniques.
The Opportunity: Are You Ready to Build the Future of Risk Analytics? Want to solve one of the most challenging big data problems in finance today? Are you excited by the idea of working directly with front-office and…
Senior software engineer building scalable, real-time ad-verification systems at massive scale using cloud-native tech, stream processing, and distributed caches.
Who We Are DoubleVerify is the leading independent provider of marketing measurement software, data and analytics that authenticates the quality and effectiveness of digital media for the world's largest brands and…
Builds and operates large-scale data infrastructure (Kafka, Spark, Flink, Trino) to process trillions of daily events for ML, analytics, and real-time systems in a high-performance, petabyte-scale environment.
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