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.
Design, build, and maintain scalable data and ML pipelines for analytics and AI systems.
Build and optimize workflows for structured and unstructured data, enabling semantic search and RAG use cases.
Manage and optimize vector databases and indexing strategies for efficient retrieval and AI-powered search.
This is a partner company seeking a Data & Machine Learning Engineer based in Brazil. They operate in a highly technical and global environment with strong emphasis on scalability, performance, and innovation.
Design and maintain scalable data pipelines for ingestion, transformation, and delivery into data warehouses, feature stores, and ML/AI systems.
Build workflows for processing unstructured data and develop semantic representations to enable advanced search, retrieval, and LLM-powered applications.
Collaborate with stakeholders to translate business requirements into scalable data and ML solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They use technology to review applications and share top-fitting candidates directly with employers, ensuring a fair and efficient hiring process.
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, develop, and maintain scalable ETL/ELT pipelines and data integration processes.
Build and optimize cloud-based data architectures to support analytics and business intelligence initiatives.
Ensure data quality, consistency, governance, and reliability through validation, monitoring, and automated quality checks.
CI&T helps large enterprises transform AI potential into business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25 countries, they collaborate to build solutions with real impact.
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, 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 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 for processing large volumes of transactional data.
Develop and own end-to-end data models, transformations, and analytics solutions for business intelligence and machine learning.
Evolve cloud-based data platforms and establish data quality practices to prepare for AI-powered use cases.
The company builds and scales data infrastructure for next-generation customer experiences and analytics platforms. It is a fast-growing technology company with a fully remote, collaborative culture.
Design and build scalable data pipelines (batch & streaming) on GCP.
Develop and manage API-driven integrations (REST, JSON, event-based).
Work with healthcare data standards such as FHIR, HL7, and EDI.
Egen is a data-first consulting firm specializing in Google Cloud and Salesforce, helping clients drive action through data and insights. The company is fast-growing and entrepreneurial, with a culture focused on learning, problem-solving, and innovation.
Work cross-functionally with Product and experts to conceptualize, prototype, and build data solutions
Build and maintain data engineering systems and high-quality data models from multi-source healthcare datasets
Develop and test data pipelines and draft internal and external technical documentation
Turquoise Health is a Series C price transparency platform for finance leaders across healthcare. Backed by a16z, Oak HC/FT, and others, we are a remote-first, US-based team that values transparency, empathy, inclusivity, creativity, and ownership.
Design, build, and operate data pipelines processing terabytes of transactional data daily using Airflow, BigQuery, and GCP services.
Own end-to-end data models and transformations powering merchant analytics, operational reporting, and ML features.
Improve data quality, lineage, and observability through testing, alerting, and validation frameworks.
Narvar is building the data infrastructure behind the post-purchase experiences of hundreds of millions of consumers, powering analytics, ML, and merchant-facing products for over 1,500 brand partners. The company serves 125+ million consumers worldwide across 38 countries and 55 languages, fostering a culture of innovation, collaboration, and inclusivity.
Design and migrate scalable data solutions using modern cloud technologies like AWS and Data Mesh.
Convert Alteryx workflows to AWS-native architectures such as AWS Glue and improve performance.
Build and maintain reliable data pipelines using distributed processing tools like Spark and Airflow.
The partner company provides data engineering and cloud solutions aimed at helping organizations modernize their data platforms. They are a collaborative team of technology professionals focused on innovation and scalable architectures.
Design, build, and maintain robust, scalable ELT/ETL data pipelines from various source systems into cloud data platforms.
Perform data modeling, including dimensional modeling, and build transformation layers using dbt to create analytics-ready datasets.
Support operational reliability, monitor data pipelines, and ensure SLAs for timeliness, freshness, and accuracy.
Troveo builds the data platform that AI labs and model builders need to train the next generation of models. Backed by top investors, we’re a small, high-impact team solving one of the biggest bottlenecks in AI development.
Design, build, and optimize scalable data platforms supporting analytics, AI/ML, and enterprise reporting.
Develop and maintain complex data pipelines using AWS Glue, Step Functions, and Databricks Workflows.
Collaborate with product, engineering, analytics, and ML teams to transform complex data challenges into reliable solutions.
Jobgether uses AI to match candidates with job openings for faster, fairer reviews. It is a technology platform focused on streamlining the hiring process for both candidates and employers.
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.
Own data end to end, from raw source to analysis that drives decisions for growth, finance, and product.
Build and operate pipelines in BigQuery with Airflow, model in dbt, and deliver analysis in Hex.
Work AI-first, using modern tooling to move faster while staying accountable for production output.
Supabase provides a complete backend platform including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search, built by developers for developers. With 280+ team members across 55+ countries and $500M raised, they are open-source-first and globally distributed.
Design, develop, and maintain robust, scalable, and well-documented data pipelines.
Collaborate with the Tech Lead to ensure quality, performance, and maintainability of Data products.
Optimize data processing and operational costs while working closely with Data Analysts and Scientists.
Accor Tech & Digital is the innovation and technological transformation lab of the world leader in hospitality. Our 5,000 talents are committed to delivering tech and digital experiences across 110 countries, shaping the future of hospitality with a strong culture focused on development and sustainability.
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.