Architect and implement production-grade integrations and distributed data systems for enterprise customers using Python, SQL, and modern API development.
Transform legacy ETL/ELT workflows into modern, autonomous data pipelines across AWS, Azure, or GCP and Kubernetes.
Integrate AI APIs like OpenAI and Anthropic, and deliver solutions from kickoff to production within an 8-12 week Accelerator window.
Own and advance the systems that enable our marketing organization, establishing a clear roadmap for marketing technology.
Work directly with marketing and leadership to understand needs and translate them into technical solutions, automating inefficient workflows.
Build integrations, services, and internal tools using APIs, cloud services, data pipelines, and batch-processing patterns.
Material Bank is the world's largest material marketplace for the architecture and design industry, operating in 37 countries. We connect thousands of designers with tens of thousands of materials from leading brands, and our growth-driven team values efficiency, smart automation, and small empowered teams.
Build and maintain MCP servers, internal APIs, and lightweight web apps to expose data platform capabilities and automate workflows.
Develop stateful applications, automated pipelines, and low-code workflows to ensure SOP compliance and scale internal tools.
Collaborate with stakeholders across Branch to scope and deliver clean, well-documented, end-to-end solutions.
Branch empowers workers with financial freedom by helping companies accelerate payments and providing accessible, free financial services. It is a remote-first, award-winning FinTech company that values transparency, accountability, and trust.
Develop secure, reliable APIs and integrations for a global workforce management SaaS platform.
Collaborate cross-functionally with Product, Design, and Engineering teams throughout the full delivery lifecycle.
Use AI-assisted coding tools while maintaining strong technical judgment and ownership over solutions.
Jobgether uses an AI-powered matching process to connect candidates with hiring companies globally. They are a platform that processes job applications and shares top-fitting candidates with employers, operating with a remote-first team across Europe and Asia.
Lead the design and implementation of complex data pipelines and infrastructure across multiple domains
Mentor junior engineers and raise team-wide engineering standards
Optimize and monitor production workflows using tools like Airflow, dbt, and AWS
Cohere Health's clinical intelligence platform connects health plans and providers to optimize care. We are a growing company backed by leading investors, with a culture of empathy and collaboration.
Migrate data products and analytical workloads from MS SQL Server to a modern cloud data platform.
Build and maintain scalable batch data pipelines and analytical models, reworking legacy SQL and ETL.
Use GCP, Python, and AI-assisted automation to enhance data engineering workflows and data quality.
Social Discovery Group is a group of social discovery companies solving loneliness and disconnection by creating platforms that connect people globally. The international team of digital nomads works remotely, and the company is a two-time 'Great Place to Work' winner.
Design, develop, and optimize enterprise ETL/ELT pipelines using Azure Data Factory and serverless technologies.
Build and optimize complex Azure T-SQL solutions and develop automation frameworks with Python and API orchestration.
Own production pipeline reliability, enforce coding standards, and partner with US onshore leadership to translate business needs into technical solutions.
We are WPP Media, WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. We are a global collective with a culture of respect, belonging, and growth opportunities.
Build and maintain secure connectors across data platforms like Google Drive, Slack, and Claude.
Partner with scientists to integrate lab data collection tools into a unified, queryable platform.
Design pipelines for messy real-world data and own end-to-end infrastructure, from schema to monitoring.
Ohr creates molecules from atoms up using biocatalysis and primordial chemistry, powering rockets and securing industries with cleaner, scalable systems. As an early-stage company with a small, urgent team, it cultivates a culture of vision, hustle, and collaboration.
Design and build reusable platform capabilities for LLM applications, AI agents, RAG, and tool calling.
Develop scalable data pipelines and secure integrations connecting AI applications to enterprise systems.
Establish technical standards for AI deployment, observability, evaluation, and lifecycle management.
Jobgether uses AI-powered matching to connect candidates with roles. They operate as a global, fully distributed international team with colleagues across multiple countries, offering a collaborative and inclusive environment.
Drive backend development for AI workflows using Python and FastAPI as part of a collaborative team.
Productionize LLM integrations with systems for Bedrock usage, quotas, retries, and cost controls.
Build for scale by optimizing async job orchestration, performance, and data-layer for petabyte-scale enterprise data.
Smarsh empowers organizations to manage risk and uncover intelligence in digital communications. With over 6500 clients in regulated industries and consistent recognition from Gartner and Forrester, Smarsh has been listed on the Inc. 5000 as one of America's fastest-growing companies since 2008.
Design, build, and own custom data pipelines that integrate source systems with the data warehouse.
Develop and operate Airflow DAGs for scheduled and event-driven workflows, ensuring reliable data processing.
Build dbt models and governed semantic layers that provide trusted data for analysts, applications, and AI tools.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It is a fast-growing company that uses technology to streamline recruitment and offers a high-trust remote environment.
Design, build, and own custom data pipelines from source systems into our warehouse.
Build and operate Airflow DAGs for scheduled and event-triggered workflows.
Develop dbt models and a governed semantic layer that analysts, internal tools, and AI agents can trust.
Grüns provides comprehensive nutrition through convenient gummies made from whole-food ingredients. They are a high-growth remote company with a culture focused on ownership, impact, and high standards.
Design and implement scalable data-ingestion pipelines using AWS services and Azure DevOps.
Develop data mapping and transformation workflows for loading into SQL Server client databases.
Collaborate with analytics teams to ensure data availability and quality for reporting and ML use cases.
Origami Risk delivers single-platform SaaS solutions that help organizations navigate risk, insurance, compliance, and safety management. Founded by industry veterans, the company is committed to client success and has a diverse, inclusive culture.
Design, build, and own critical product features for high-scale backend systems serving millions of users.
Take full ownership from problem discovery through production rollout and long-term maintenance.
Collaborate closely with Product and engineering teams in a remote-first, autonomous environment.
A venture-backed technology company that builds scalable backend systems used by thousands of developers and hundreds of millions of end users. It is a remote-first, fast-growing company with a collaborative culture focused on engineering excellence.
Design, build, and operate end-to-end data infrastructure and solutions for APIs, containerized applications, alerting/reporting, and graph visualizations.
Model and deploy relational, document, and graph databases for investigative workflows and large-scale network analysis.
Build resilient ETL/ELT pipelines that ingest, normalize, and reconcile structured and semi-structured data from multiple sources.
Inca Digital is a veteran-owned data and intelligence company specializing in digital-asset analytics for exchanges, financial institutions, regulators, and blockchain ecosystems. They operate as a fast-paced, nimble, global remote company with a culture of open debate and logic.
Design, develop, and maintain scalable data solutions using Microsoft Azure ecosystem.
Build and optimize ETL/ELT pipelines with Azure Data Factory, Databricks, and Synapse.
Collaborate with stakeholders to turn diverse data sources into trusted, analytics-ready datasets.
Our partner is a company undergoing a large-scale digital transformation initiative. They are looking for an experienced data engineer to work with modern Microsoft Azure data technologies.
Design, develop, and maintain scalable ETL/ELT pipelines in Azure environments.
Build and optimize Data Lake and Data Warehouse solutions to support analytics and business intelligence.
Implement data quality validation, monitoring, and governance to ensure reliable and trustworthy data.
CI&T helps large enterprises transform the potential of AI into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across more than 25 countries, they combine human expertise with AI to build scalable and innovative technology solutions.
Build and maintain data ingestion pipelines from enterprise systems and APIs.
Develop SQL and Python solutions for data transformation and curation.
Partner with analytics and engineering teams to deliver governed data products.
AHEAD builds and operates data capabilities to help teams access trusted information. The company fosters a product-oriented engineering culture with a focus on collaboration and AI-assisted development.
Design, build, and operate production-grade agentic systems for developers.
Develop core agent infrastructure including orchestration, tool execution, and evaluation.
Own projects end to end from opportunity identification to launch and iteration.
Our partner is a fast-growing Series C technology company that builds AI-powered developer tools. The organization is fully remote with an autonomous culture focused on engineering ownership and collaboration.
Design and maintain API integrations between vendor platforms and Syllo’s internal tool stack.
Partner with data engineering to build data extraction pipelines into BigQuery.
Build frontend dashboards and ensure data reliability across Revenue Operations, Finance, and Customer Success.
Syllo is a litigation AI platform that automates the entire litigation lifecycle for legal teams. It is a fast-growing, venture-backed company serving Fortune 500 and AmLaw 200 firms, known for its award-winning technology and collaborative culture.
Design, build, and ship reliable software for AI-powered scientific workflows.
Build scalable backend services, APIs, data pipelines, and integrations with laboratory instruments and enterprise systems.
Own projects end to end from technical design through implementation, deployment, monitoring, and iteration with customers.
Expert Intelligence is building the AI decision layer for analytical laboratories. We are a growing startup with a team of engineers and scientists, working on hard problems at the intersection of AI and science.