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.
Architect and optimize scalable data models and semantic layers in modern cloud data warehouses.
Build and maintain robust data pipelines and ETL/ELT workflows for seamless data ingestion.
Design intuitive, high-performance dashboards and interactive visualizations for actionable insights.
CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. They offer nearshore technology services through staff augmentation and dedicated IT teams.
Act as bridge between business and technology, translating complex requirements into robust technical solutions.
Own the complete lifecycle of data products from ingestion through modeling, validation, and delivery.
Implement rigorous data validation processes and ensure data accuracy and integrity for AI and analytics.
CI&T helps large enterprises transform AI potential into real 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 accelerate innovation and collaborate to build impactful solutions.
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.
Build new analyses and support existing ones using SQL and Python.
Apply software engineering principles like version control and continuous integration to the analytics codebase.
Expand our data warehouse with clean data ready for analysis.
Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. It delivers integrated, AI-powered solutions to unlock student engagement and empower teachers.
Own the design, delivery, and operation of major data products including ETL pipelines and storage solutions.
Partner with engineering, product, and business stakeholders to define solutions and drive projects from design to production.
Mentor engineers, lead technical strategy, and participate in on-call rotation for production systems.
Lime is the largest global shared micromobility company, on a mission to make transportation shared, affordable, and carbon-free. It has powered over one billion rides across 30 countries and is a Time 100 Most Influential Company.
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 and build scalable batch data pipelines using AWS Glue, Lambda, and Step Functions.
Optimize analytical data models and query layers with Amazon Athena, Redshift, and ClickHouse.
Collaborate with backend engineers to integrate data workflows with microservices and event-driven architectures.
The company is a technology organization focused on building scalable data platforms and analytics solutions. They operate with a distributed international team and emphasize modern engineering practices.
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.
Design and deliver data solutions for capacity planning, observability, and AI.
Build scalable data pipelines, integrate multiple sources, and ensure data quality.
Work with large volumes of data, collaborate with teams, and support dashboards and analytical tools.
The hiring company is a technology firm focused on data engineering and analytics. It offers a fully remote, collaborative environment for a 12-month project.
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 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 and deliver end-to-end data solutions for enterprise clients.
Build and maintain modern data lakes, warehouses, and analytical models.
Act as technical point of contact, mentor engineers, and drive quality.
The company is a consulting firm that delivers modern data platforms and analytics solutions for multinational clients. The culture emphasizes collaborative engineering, technical ownership, and work-life balance.
Develop and implement Snowflake-based governance solutions for data quality, security, and compliance.
Build automated privacy processes and support data cleanup initiatives to maintain integrity.
Collaborate with cross-functional teams to design scalable data architecture and pipeline solutions.
Blend is a premier AI services provider, co-creating meaningful impact through data science, AI, and technology. We harness world-class people and data-driven strategy to unlock value for clients, with a focus on innovation and fulfilling work.
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.
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.
Deliver high-quality data sets by curating, consolidating, and manipulating large-scale data sources.
Build high-quality data pipelines and ETL processes on platforms like Snowflake and BigQuery.
Partner with analytics, data science, and machine learning teams to provide data solutions.
Tripadvisor connects people to experiences worth sharing, aiming to be the world's most trusted source for travel. With over 500 million reviews and 390 million monthly visitors, the company is data-driven and offers a unique, global work environment that captures the speed and innovation of a startup.
Design, develop, and maintain automated data pipelines and analytics solutions.
Automate manual reporting processes and repetitive data workflows.
Optimize SQL queries, data models, and processing performance.
Blend is a premier AI services provider that co-creates meaningful impact through data science, AI, technology, and people. The company is dedicated to unlocking value and fostering innovation for clients, with a focus on blending human expertise with artificial intelligence.
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.
Own 1–4 concurrent migration projects end-to-end: scoping, planning, execution, and customer handoff.
Be the primary customer contact: run weekly check-ins, manage stakeholder expectations, and escalate risks early.
Configure Datafold's Migration Agent and partner with engineering to execute migrations.
We are a data engineering automation platform delivering large-scale data platform migrations with AI at fixed price and guaranteed timeline. We are a venture-backed software company that has delivered projects up to 6x faster than alternatives.