Build and evolve AI-powered products with end-to-end TypeScript/React and Golang development.
Design and maintain robust backend systems including APIs, distributed systems, and cloud infrastructure on AWS.
Contribute to AI-first engineering practices, working autonomously in a remote European team.
Our partner is a technology company that builds AI-powered products integrated into partner platforms. The team is autonomous and collaborative, with a focus on reliability and correctness.
Build application components and pages with modern frontend frameworks.
Implement real-time data feeds and pipelines using WebGPU, MQTT, and Redpanda.
Design data models and integrate machine learning models into the application.
Spear AI is a defense contracting company that builds a data management and artificial intelligence platform for maritime domain awareness, including sonobuoy sensors and SONAR data processing. The team is small with a flat organizational structure where employees collaborate directly with leadership and focus on mission-critical work.
Design, develop, and maintain AI-powered software solutions across the full development lifecycle.
Work with backend stacks like Python, Node.js, .NET, and Java, plus modern frontend frameworks such as React or Angular.
Build and integrate AI agents, RAG pipelines, and LLM-driven products into production environments.
Cresteo is a nearshore tech services company on a mission to be the world leader in people-first and honest software development. Our small, high-trust team values transparency, profit-sharing, and fearless innovation while working with US-based clients and international teams.
Co-develops batch and streaming pipelines on Databricks using Python and Spark.
Defines data contracts, quality rules, and SLOs for each data product.
Guides domain teams on data modeling and data product boundaries.
Muttdata builds innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. It is a fast-growing, remote-first startup passionate about technology, collaboration, and continuous learning.
Build and scale complex data capturing workflows across web (Next.js) and desktop (Python) environments.
Architect and optimize high-throughput data pipelines designed to handle heavy, sustained loads.
Collaborate directly with the founding team to define product direction and ship features quickly.
This company is a Series A AI training data company focused on capturing expert reasoning to power next-generation foundation models. As one of the first engineers in LATAM, you'll work closely with the founding team in a high-impact, fast-paced culture.
Design, build, and maintain data pipelines, ETL/ELT processes, and API integrations.
Develop and maintain dashboards, reports, and data models using Power BI, GoodData, and Databricks.
Work with stakeholders to translate business requirements into reliable, accurate analytics solutions.
Dijital Team is a technology company that delivers data engineering, analytics, and business intelligence solutions for clients. We foster a collaborative and flexible culture with remote work, team events, and a strong focus on employee well-being and continuous learning.
Prototype and evaluate AI applications for data and marketing workflows.
Develop production data agents and backend services with Node.js and TypeScript.
Design AI-assisted experiences and choose AI architectures for real user workflows.
The company builds AI capabilities for B2B marketing and data workflows, helping users turn customer data into useful insights and actions. It operates like a small, high-velocity startup team focused on shipping production-ready AI products.
Write and ship production AI code daily as an active contributor.
Build the retrieval, graph, and inference layers on top of our data platform.
Set patterns other teams build against and turn company goals into shipped systems.
Acquia empowers brands to create digital customer experiences using its Drupal-based Digital Experience Platform. It is a Great Place to Work-Certified company with thousands of global organizations as clients.
Serve as technical lead for customer engagements, aligning business goals with AI-native engineering practices.
Architect and deliver scalable software solutions across cloud, APIs, and enterprise systems.
Mentor customer engineers and drive adoption of AI-assisted development workflows.
Valtech is the experience innovation company that helps brands unlock value in an increasingly digital world by blending data, AI, creativity, and technology. It is a global, borderless organization with a culture that fosters creativity, diversity, and autonomy, supporting people to thrive and innovate.
Own end-to-end data integrations across customer systems, including data mapping and modeling.
Architect and implement critical backend systems and infrastructure components.
Operate with high autonomy in an ambiguity-rich environment, shaping the technical direction.
We are an early-stage AI/ML startup building core product infrastructure. We are a small founding team looking for engineers who thrive in high-ownership, ambiguity-rich environments.
Lead technical strategy for provider growth and supply management, designing robust systems.
Mentor junior engineers and foster a high-performing engineering culture.
Build AI-powered workflows and collaborate across multiple teams to drive impactful solutions.
Rula is a mental health care company that connects patients with providers, aiming to destigmatize mental health. They are a remote-first company hiring in most US states, with a focus on culture and inclusion.
You will work under the guidance of the Central Platform Team to build our Databricks engineering framework.
You will establish reusable development patterns and advance our core codebase.
You will use modern data engineering practices and AI-assisted tools to build scalable data solutions.
Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, they are committed to delivering impactful, future-ready solutions.
Deliver complex data engineering projects for EMEA and US customers, individually or leading small teams.
Support pre-sales, mentor junior engineers, and contribute to hiring best-in-class data talent.
Work remotely in the UK with occasional travel to Budapest for onboarding and quarterly visits.
Datapao is a data engineering and cloud migration consulting company that helps clients solve complex data puzzles using technologies like Apache Spark and Databricks. They are a rapidly growing tech company with a high-transparency culture, emphasizing open feedback and no politics.
Review AI-generated business emails, reports, and strategies to ensure they are professionally sound.
Fact-check AI suggestions for marketing plans, budgets, and adherence to standard business rules.
Teach AI common office tasks such as meeting summaries, invoice drafting, and project timeline creation.
TELUS Digital operates a global AI community of over one million contributors who help collect, enhance, and train content for AI models. The community is diverse, flexible, and focused on shaping innovative AI technologies used by world-class brands.
Develop and maintain machine-learning models across the full data science lifecycle.
Collaborate with ML engineers to deploy scalable supervised and unsupervised learning algorithms.
Design and run A/B tests to validate hypotheses and measure business impact.
The company operates in programmatic advertising, building machine-learning models that process terabytes of data and support billions of real-time advertising requests worldwide. It is a diverse, globally distributed team that values simplicity, collaboration, and practical impact.
Design, build, and improve systems to reliably and efficiently process data at the scale of tens of terabytes per day.
Evaluate new technologies and set best-practice standards with Data Engineering and Data Platform Engineering.
Drive cross-functional projects with stakeholders across Mozilla and mentor teammates to develop engineering best practices.
Mozilla Corporation is a non-profit-backed technology company that makes pioneering brands like Firefox, the privacy-minded web browser, and works on diverse areas including AI, social media, security. The company is wholly owned by the non-profit Mozilla Foundation, with over 225 million monthly users, and focuses on making the internet better for people.
Design, build, and maintain scalable, reliable, and high-performance software systems.
Contribute to system architecture and technical design, validating solutions through data and experimentation.
Collaborate across teams, participate in code reviews, and support applications to ensure system health and reliability.
We are building shared backend platforms and services operating at significant scale. We collaborate across engineering, data science, product, design, and business teams, using AI-assisted coding tools and maintaining high engineering standards.
Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric and Databricks.
Build reliable ETL/ELT processes for structured and unstructured data and ensure production-ready integration solutions.
Collaborate with business stakeholders to translate data requirements into technical solutions and take end-to-end ownership.
This company is a technology organization seeking a Senior Data Engineer to build scalable data pipelines on Azure and Databricks. It offers a fully remote, collaborative environment with global stakeholders and a focus on engineering ownership.
Lead end-to-end development of product features from design through deployment and ongoing support.
Architect and build scalable backend services and APIs using TypeScript/Node.js.
Collaborate cross-functionally with Product, Design, CX, and Integrations to deliver customer-facing functionality.
Meadow is a modern payments platform for higher education that simplifies the entire student financial experience. They are a highly ambitious, talented team transforming the $600 billion higher education payments industry.