Own the Data Layer end to end, including ingestion, medallion-style modeling, and serving layers.
Build and operate ingestion and transformation pipelines using modern orchestration and cloud data warehouses.
Operate AI coding agents (Claude Code) to ship production-quality data infrastructure at high velocity.
Proton is building the AI operating system for wholesale distribution, embedded in the workflows that move nearly every physical product on the planet. They are a venture-backed startup with hundreds of distributor customers, and they hire builders with high agency and urgency.
Build and optimize cloud-native data pipelines on AWS using AI tooling as a standard part of the workflow.
Design and evolve data models for analytics, operational use cases, and AI/ML across thousands of studios.
Partner with product and engineering teams to turn ambiguous business problems into robust data solutions.
Sport Alliance builds the data platform behind Magicline and Finion, serving thousands of gyms and over 10 million members. The company fosters an AI-first culture with a focus on data reliability and innovative engineering.
Design and implement data pipelines and analytic infrastructures with the latest technologies.
Build data warehouses, create dashboards, and develop self-service data exploration capabilities.
Leverage AI tools to enhance client and internal capabilities, including AI agents and agentic infrastructure.
Fractal River is a consulting firm that helps companies scale faster by building robust technical and operational infrastructure. They work with a diverse range of clients, from startups to established organizations, fostering a culture of continuous learning and AI integration.
Build and scale reliable data infrastructure powering analytics, AI-driven decision-making, and smarter growth across n8n.
Own critical parts of the modern data stack, including end-to-end data pipelines using dbt on BigQuery and orchestration with Dagster.
Enable analytics, AI use cases, and marketing attribution by delivering trusted datasets and scalable data products.
n8n is an open workflow orchestration platform built for the new era of AI, giving technical teams the freedom of code with the speed of no-code. The company has grown to a team of over 260 across Europe and the US, backed by top investors, with a culture of builder spirit and remote-first collaboration.
Build and own data pipelines, models, and infrastructure that turn raw labor market data into systems connecting people to jobs.
Shape data modeling in the warehouse, ensure trustworthy analytics and reporting, and build pipelines for matching and recommendation models.
Partner closely with Engineering, Product, and VP of Data & AI to decide how the platform is built.
FutureFit AI is an AI-powered platform that helps people get better jobs faster, focusing on those facing barriers to opportunity. The company has 30-50 employees across the US and Canada, with a culture of high trust, high impact, and a will to win.
Design, build, and own data pipelines moving data from application and third-party sources into relational databases.
Build and ship production AI systems, including data infrastructure and evaluation systems for feature reliability.
Set standards for data work through clear writing, early context sharing, and team efficiency.
Dscout builds a flexible UX research platform trusted by top brands in finance, healthcare, and tech. They are a remote-first team of passionate professionals that prioritize learning, diversity, and inclusion.
Design, build, and maintain scalable data pipelines using modern tools like dbt, Airflow, and Prefect.
Develop curated data models and products to support analytics, AI workloads, and operational use cases.
Collaborate with AI, Analytics, and Product teams to deliver high-quality, scalable data solutions.
RemoFirst offers a platform that provides people management tools and employee benefits, enabling companies to hire talent globally. It is one of the fastest-growing private companies in the USA, backed by $40M+ in venture funding, with a fast-paced startup culture.
Design, build, and maintain scalable data pipelines for ingestion and transformation.
Work with Python, SQL, Apache Airflow, and Google Cloud Platform.
Collaborate with cross-functional teams to deliver reliable and high-quality data solutions.
Our partner is a technology company focused on AI and data solutions. The team values collaboration, innovation, and continuous learning, and offers a remote work environment.
Define data architecture and platform strategy for enterprise data platforms.
Build and optimize scalable data pipelines supporting batch and real-time processing.
Mentor junior engineers and partner with leadership on data strategy.
Robots & Pencils is an applied AI engineering firm building AI co-workers for enterprise operations. Founded in 2009, with delivery centers across North America and Europe, our teams average 15+ years of experience and we value craft, speed, and ownership.
Own work end to end from discovery to production deployment.
Design and build data foundations and full-stack applications on top of them.
Use AI coding agents as a primary build accelerator to ship production-grade AI systems.
We help companies design, build, and deploy AI agents that automate complex workflows, delivering reliability and efficiency gains. We are a small, fast-moving, ownership-driven team that thrives on building quickly and seeing results in days, not months.
Analyze and process large datasets to support business intelligence and product development.
Design and maintain data pipelines and infrastructure for efficient data flow.
Collaborate with cross-functional teams to implement data-driven solutions.
Tucows is a technology company that provides domain registration, internet services, and mobile connectivity solutions. It operates through its brands Ting, Wavelo, and Tucows Domains, and fosters a culture of inclusion with a focus on community and innovation.
Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS.
Own end-to-end data engineering projects from ingestion through to analytics enablement.
Improve monitoring, alerting, and data quality across key pipelines.
Midnite is a next-generation sports betting and gaming platform built for a new wave of players. Over 400,000 players have joined, and the team operates with high ownership and fast iteration in a scale-up environment.
Build, maintain, and optimize scalable data infrastructure for AI/ML features.
Partner with ML Engineers, Data Scientists, and Software Engineers to transform healthcare data into high-quality datasets.
Contribute to data pipelines, improve data quality, and ensure reliable, performant, and well-governed data for AI systems.
Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices. More than 42,000 private practices trust Tebra to streamline operations, increase revenue, and reduce burnout, with a culture that values starting with the customer, keeping it simple, staying entrepreneurial, being better together, and celebrating success.
Design, develop, and maintain scalable data pipelines that transform complex customer data into actionable business value.
Work across the full data lifecycle, from ingestion and transformation to activation and analytics.
Use modern cloud technologies and AI-assisted development workflows to create reliable, high-performing data solutions.
Jobgether uses an AI-powered matching process to help candidates find roles and connects top-fitting applicants directly with hiring companies. The company fosters a remote, collaborative environment with a focus on efficient recruitment.
Design, build, and maintain scalable batch and streaming data pipelines.
Develop reliable ETL/ELT workflows using Python, Spark, and modern orchestration tools.
Improve data quality, validation, monitoring, and observability across the platform.
The company is a Berlin-based, remote-first technology company building advanced market intelligence and software solutions for the automotive industry. It operates in a stable growth phase with an established product and a strong technical team.
Collaborate with Data Science, Product Managers, and Software Engineers to build robust ETL pipelines for user-facing features.
Contribute to architecture decisions, observability tooling, and data quality initiatives to keep the platform robust.
Enforce engineering best practices across the AI/ML org, including code quality, testing, and documentation.
Federato is an AI-native platform for insurance, enabling insurers to provide affordable coverage for climate, cyber, and social inflation risks. It is a small, well-funded company backed by the investors behind Salesforce, Veeva, and Zoom, with a culture focused on first principles, learning, and fun.
Design, build, and maintain high-quality data pipelines and data models from scratch within a data mesh architecture.
Build AI-powered capabilities such as data/AI agents and natural-language interfaces to amplify team productivity.
Partner with analysts and stakeholders to turn loosely defined needs into clear, well-scoped technical work.
Wellhub is a platform that connects employees worldwide to partners for fitness, mindfulness, therapy, nutrition, and sleep through a simple subscription. Headquartered in NYC with team members in Europe, North America, and South America, we are on a mission to make every company a wellness company with a team that values wellbeing, collaboration, and diverse perspectives.
Build advanced data pipelines using Snowflake and AWS, leveraging AI-assisted development and Medallion Architecture.
Design analytical data models and write complex Python/SQL to ensure high performance and 99.95% uptime.
Mentor junior engineers and drive architectural improvements, supporting data governance and automation.
Spring Venture Group is a digital direct-to-consumer sales and marketing company specializing in Medicare Supplement and related products. It is a leading company with a family of brands and a dedicated team of licensed insurance agents, fostering a diverse and inclusive culture.
Build the data platform by designing and maintaining scalable ELT/ETL pipelines and owning the cloud data warehouse.
Ensure data quality and governance through clean transformation layers, testing, monitoring, and security practices.
Partner across engineering and product teams to support product analytics, experimentation, and business reporting.
An international product company building SaaS products, AI-powered solutions, and modern web and mobile applications for global markets. They are scaling and investing in a modern data platform, with a collaborative, product-focused team.
Build and scale massive distributed compute and storage systems for AI training.
Architect multi-cluster orchestration and optimize workload placement across global regions.
Design future-proof storage formats and implement metadata systems for exabyte-scale growth.
Mistral provides full-stack AI solutions, from frontier models to developer tools. They are a dynamic, collaborative team with a diverse workforce, passionate about innovation and low-ego teamwork.