Design, build, and operate critical data infrastructure platforms.
Ensure high availability, scalability, and performance of platform services.
Drive improvements in developer productivity through automation and tooling.
Angi helps homeowners connect with reliable professionals for home service projects. With over 2,800 employees worldwide, they foster an environment where homeowners, pros, and employees benefit from streamlined services.
Architect Services: Design and stand up backend services and APIs that power our data platform.
Build for Scale: Transition us from simple scripts to production-grade software with logging, alerting, and automated testing.
Modernize Tooling: Evaluate and implement new frameworks that improve system reliability and developer velocity.
Prosper, founded in 2005, is dedicated to meeting people where they are in their financial journey to advance their financial well-being through a comprehensive suite of products. The company has helped over 2 million customers and is committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.
Organize and structure data systems at both macro and micro levels, designing and implementing data architectures that support business goalsOptimize data pipelines for performance, reliability, and scalability
Design, build, and maintain scalable ETL/ELT pipelines with Airflow to process large-scale, complex datasets
Demonstrate ability to delivery of of data products useful for machine learning and AI research and development (data models, metadata and semantics)
Owkin is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software.
Lead the architecture and evolution of scalable, distributed data pipelines, ensuring high availability and performance at scale
Build and maintain distributed web scraping systems using tools such as Playwright, Selenium, and BeautifulSoup
Integrate AI and LLMs into engineering workflows for code generation, automation, and optimization
MercatorAI is building scalable data infrastructure to power high-quality, data-driven decision making at scale. As an early-stage company, the team is focused on creating robust, future-ready systems that can handle complex data ingestion, transformation, and delivery across a growing national footprint.
Designing data workflows, pipelines, and pathways to support ETL/ELT, while ensuring data-quality and exchange of sensitive information across AWS cloud and on-prem environments.
Implementing systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems, including backup and recovery strategies
Architecting, deploying, and operating data streaming technologies (Kafka, Redpanda, Kinesis, etc ) on Kubernetes with an emphasis on declarative definitions to reduce complexity in day-2 operations
Defense Unicorns delivers mission value by streamlining software delivery so their customers can focus on the most important challenges. Their team is composed of innovators, software engineers, and veterans with decades of experience delivering technology programs across the federal market.