Design, build, and maintain scalable data ingestion pipelines for SaaS and cloud data sources.
Configure and optimize Fivetran, Oracle databases, and Change Data Capture for reliable data movement.
Monitor ingestion workflows and troubleshoot failures to ensure data quality, consistency, and availability.
Jobgether is an AI-powered recruitment platform that connects candidates with hiring companies through objective, skill-based matching. The hiring partner is an IT services organization focused on data integration, and they maintain a remote-first culture for engineers.
Own the full engineering scope of regulatory reporting: pipelines, data models, quality checks, releases.
Run recurring monthly and quarterly regulatory reports, keeping them accurate and on time.
Build governed datasets, semantic models, and XML formats on a modern lakehouse stack.
Finom is a fintech company offering financial services to small and medium-sized businesses. The company has a small central data team, works in English, and fosters a culture of long-term thinking and AI-assisted productivity.
Architect and build scalable data infrastructure powering real-time insights, predictive systems, and generative AI applications.
Transform static data lakes into active, low-latency backends for real-time, agentic AI applications.
Provide technical leadership, establish engineering best practices, and collaborate cross-functionally in a Tech/Creative environment.
Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York. Their team of 600+ skilled tech professionals in Latin America drives digital disruption by partnering with US companies on impactful projects.
Build and maintain data pipelines that extract, transform, and integrate information from multiple business systems.
Develop SQL queries, data models, and database structures to support enterprise reporting and a centralized data warehouse.
Partner with Finance, Revenue Operations, and other teams to understand data requirements and troubleshoot reporting challenges.
Patch My PC is a fully remote company that provides an enterprise solution for automating third-party patch management in Microsoft ConfigMgr, Intune, and WSUS. Our crew of 150 GIF-loving humans supports over 10,000 customers and more than 32 million devices.
Build data pipelines that pull information from ERP, CRM, and accounting systems, covering ingestion, processing, and storage.
Put data quality and lineage controls in place so any number can be traced back to its source.
Build and manage training and evaluation datasets that power and measure AI models.
Lunon is an AI-native consulting firm in New York City backed by General Catalyst, embedding engineers inside client businesses to ship AI solutions that run without them. The team is young and fast-moving, with everyone owning what they ship end to end.
Design and maintain scalable data pipelines for AI workloads and intelligent products.
Develop automated workflows for synthetic data generation and large-scale data preparation.
Collaborate with product and engineering teams to optimize data storage, retrieval, and validation.
The company partners with Jobgether to hire for AI-focused data engineering roles. It operates in a remote, project-based environment with a focus on building scalable infrastructure for next-generation AI applications.
Collaborate with cross-functional teams to build data solutions for Accounting, Finance, Supply Chain, and Publishing.
Build and support automated data pipelines and reporting processes.
Investigate and iterate on pipeline improvements for cost and reliability.
Nex helps families rediscover the joy of movement through an award-winning active play system that combines technology and play. It is a growing, product-driven company with a small team, known for innovations like Nex Playground and collaborations with Hasbro, Sesame Workshop, and NBCUniversal.
Transform raw customer and internal engineering data into structured datasets for AI training and evaluation.
Use CAD and mechanical engineering expertise to create ground-truth designs, annotations, and exploded views.
Collaborate with product, engineering, and customer teams to define data quality standards and workflows.
Foundation EGI is a MIT-born, venture-backed Silicon Valley startup building Engineering General Intelligence (EGI), an AI Copilot for design and manufacturing. They are a small, fast-paced team focused on reinventing how physical products are designed and built.
Design and build challenging evaluations and executable environments for coding and long-horizon agents.
Develop scoring logic and verifiers to detect reward hacks and trace failures through model outputs and harness code.
Build and scale RL data pipelines for generating and curating challenging coding and agentic tasks.
Prime Intellect is building the open superintelligence stack, providing infrastructure for post-training frontier AI models and open-source models trained for long-horizon tasks. The company has raised $150M from top investors and is a mission-driven team passionate about accelerating science and AI.
Build and deploy production-ready ML solutions using classical ML and statistical methods.
Own ML projects end-to-end from data pipelines and modelling to deployment and monitoring.
Work with engineers and product managers to turn business problems into practical ML and GenAI solutions.
Sport Alliance develops software solutions for fitness businesses, powering products like Magicline and PerfectGym Next used by thousands of gyms and millions of members. You'll join a collaborative team with flexible work arrangements and a focus on practical ML innovation.