Develop AWS Lambda functions, APIs, and web applications to support business operations.
Build and maintain ELT pipelines to integrate and transform data across platforms.
Design and implement AI-powered automation to improve operational efficiency.
M3 USA offers digital solutions across healthcare, life sciences, pharmaceuticals, and more. They utilize the internet for a healthier world and more efficient healthcare systems, with trusted digital platforms that engage physician communities globally. M3 USA prides itself on a dynamic and innovative work environment where every team member contributes to global health advancements.
Architect and maintain robust data pipelines to transform diverse data inputs.
Integrate data from various sources into a unified platform.
Build APIs with AI assistance to enable secure access to consolidated insights.
Abusix is committed to making the internet a safer place. They are a globally distributed team that spans multiple countries and thrives in a culture rooted in trust, ownership, and collaboration.
Building and maintaining pipelines that ingest large amounts of data from various sources.
Setting up Reverse-ETL syncs to power operational analytics.
Write various styles of automated tests to ensure operational reliability and data integrity.
Super.com helps people save more, earn more, and get more out of life. It invests in learning, celebrates bold ideas, and creates pathways for career growth with a fast-moving and people-first culture.
Design, implement, and evolve RAG pipelines combining structured data, embeddings, and LLMs.
Develop and maintain prompt strategies used across multi-step agent workflows.
Integrate LLMs into production systems with attention to reliability, cost, and latency.
FirmPilot builds AI-powered systems that automate and scale real-world business outcomes. They focus on applied AI, using best-in-class large language models and tooling to deliver reliable, production-grade automation.
Lead product requirements and advanced analytics requirements gathering efforts.
Work with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs.
Build a scalable technology platform to support a growing business and deliver high-quality code to production.
Achieve is a leading digital personal finance company that helps everyday people move from struggling to thriving by providing innovative, personalized financial solutions. They have over 3,000 employees in mostly hybrid and 100% remote roles across the United States with hubs in Arizona, California, and Texas and a culture of putting people first.
Design, develop, and maintain scalable backend services and APIs, ensuring high performance, security, and reliability.
Build and optimize data pipelines to ingest, store, and serve large-scale datasets, including video and ML training data.
Own and evolve the foundational data model that powers the entire Frontera platform.
Frontera is reimagining how children with autism and other behavioral health needs get the care they deserve. They bring together clinicians, technologists, and autism specialists to build cutting-edge AI tools that help care teams, expanding access to high-quality services for families everywhere.
Design, code, test, and debug data-driven applications in accordance with established coding standards and best practices.
Develop supporting data tooling, including data pipelines, APIs and related tools to support those applications, ensuring performant, scalable and secure solutions.
Integrate with various data sources and technologies to ensure the right data is available for the solutions in a timely manner.
EasyPost, founded in 2012, is a YC unicorn with the mission to simplify shipping for businesses, from startups to Fortune 500 companies. They provide a developer-friendly REST API for shipping. The team is rapidly growing and fosters a culture of builders and problem-solvers who value elegant architecture and fast decisions.
Have experience working in a high-velocity software development organization.
Are proficient at building software that both powers and relies on the web.
Can build high-quality REST APIs.
Scrunch is a venture-backed startup that helps marketing teams rethink how their products and services are discovered and surfaced on AI platforms. With $26M in funding, they've scaled rapidly and work with over 500 paying brands.
Design and build robust, scalable services that power Al-driven systems.
Implement clean, modular, and testable code across distributed systems.
Own data modeling, schema design, and performance optimization.
Artificial.Agency is building AI-driven systems. They seem to have a flexible work environment and value diverse perspectives, creating an inclusive environment for employees.
Design, build, and maintain services that scale with our growing customer base.
Tackle ambiguous, open-ended problems with strategic thinking, balancing technical constraints with user needs and product goals.
Build services, APIs, and experiences that support user delight, quality, high availability and performance.
dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. They have grown from an open source project into the leading analytics engineering platform, now used by over 50,000 teams every week.
Design and build API endpoints for client integrations.
Improve database and query performance.
Integrate with a wide range of third-party services.
Kalepa's state-of-the-art AI Copilot platform empowers underwriters to make smarter, faster, and more accurate decisions in the commercial insurance industry.
Support their managed analytics service client through their data-driven journey and deliver measurable business value through data modeling, API integration, SQL scripting, and data pipeline development.
Bridge the important gap between data applications and insightful business reports.
Participate in building our data platform from the ground up by exploring new technologies & vendors within our cloud-first environment
DataDrive is a fast-growing managed analytics service provider that provides modern cloud analytics data platforms to data-driven organizations, while also supporting ongoing training, adoption, and growth of our clients’ data cultures. DataDrive offers a unique team-oriented environment where one can develop their skills and work directly with some of the most talented analytics professionals in the business.
Design, develop, and maintain backend services, APIs, and data pipelines that power Knock's customer-facing and internal applications.
Architect and build scalable backend services using Node.js and TypeScript, ensuring they integrate seamlessly with our frontend experiences.
Contribute to AI-powered features and initiatives, integrating AI services to enhance our risk analysis and decision-making capabilities.
Knock is redefining the home buying and selling experience. They are a passionate team of industry experts who knew there had to be a better, simpler way for people to navigate the journey between homes and have been honored as one of Inc.’s Best Workplaces six times in the past seven years.
Collaborate with Product, Design, Operations, and Security to deliver well-architected, scalable compute solutions.
Participate in technical architecture discussions with a focus on query engines, storage systems, and distributed database design.
Champion a culture of technical excellence and innovation, influencing engineering direction across multiple teams or domains.
dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. They have grown into the leading analytics engineering platform since 2016 and now serve over 5,400 dbt Cloud customers.
Code, test, and document new or modified data pipelines.
Conduct logical and physical database design.
Perform root cause analysis on internal and external data.
Aker Systems builds and operates ground-breaking, ultra-secure, high performance, cloud-based data infrastructure for the enterprise. They were recognised as a ‘One to Watch’ on the Sunday Times Tech Track and won the Thames Valley Tech Company of the year.
As a key member of our Data Engineering team, you will: Collaborate with Data Science, Reporting, Analytics, and other engineering teams to build data pipelines, infrastructure, and tooling to support business initiatives. Oversee the design and maintenance of data pipelines and contribute to the continual enhancement of the data engineering architecture. Collaborate with the team to meet performance, scalability, and reliability goals.
PENN Entertainment, Inc. is North America’s leading provider of integrated entertainment, sports content, and casino gaming experiences.
Design, build, and maintain scalable, high-quality data pipelines.
Implement robust data ingestion, transformation, and storage using cloud-based technologies.
Collaborate with stakeholders to understand business goals and translate them into data engineering solutions.
CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they have partnerships with more than 1,000 clients and value diversity, fostering a diverse, inclusive, and safe work environment.