Build and extend scalable data pipelines to move analytics off production PostgreSQL into a modern warehouse.
Develop shared dbt models, metrics, and semantic layers that keep definitions consistent across products.
Safeguard data quality with tests, freshness checks, alerts, and traceable lineage from source to drone imagery.
Gather AI builds a vision-powered platform using autonomous drones to digitize warehouse workflows and improve supply chain performance. We're a fast-moving robotics startup with a collaborative, remote-first culture and a focus on shipping transformative technology.
Architect and maintain robust data ingestion pipelines that feed both application and analytics.
Design well-modeled, layered tables with clean schemas that turn raw data into analytics-ready data.
Build reliable, automated pipelines with data quality tests, monitoring, and safe reprocessing.
GoFasti is a Talent-as-a-Service company that bridges world-class developers and designers from Latin America with first-class companies globally. They focus on remote work and building high-performing, autonomous teams.
Build and scale data pipelines for ingestion into Snowflake, focusing on reliability and performance across a $750M+ e-commerce business.
Design and ship agentic systems that automate data engineering work, including pipeline generation, testing, and maintenance.
Collaborate with analysts, data scientists, and product teams to deliver end-to-end data solutions, from ingestion to advanced analytics and AI.
Babylist is the leading platform for expecting and new families, offering a universal registry, shop, health, and more. With over 10 million users and $750M revenue in 2025, Babylist is a remote-first, AI-forward company that values focus, intention, and recharging.
Own Moxie's data infrastructure end to end: pipelines, warehouse, and the modeling layer that every published number depends on.
Partner with Engineering on production schema changes and with Finance to model accounting logic.
Deliver high-impact data projects like accrual accounting models and historical EMR data modeling.
Moxie empowers aesthetic entrepreneurs to build profitable, independent practices. It is a global, remote-first team supporting 700+ practices nationwide, with a culture of ownership, speed, and care.
Design, build, and maintain scalable data pipelines for clinical data from multiple sources.
Develop data models and schemas to support efficient querying, reporting, and EHR integration.
Build mapping, reconciliation, and cutover tooling for migrating facilities off incumbent EHRs.
Prysm Health builds data infrastructure and tools for healthcare, focusing on EHR interoperability and clinical data management. They are a technology-focused team working to modernize healthcare data systems.
Design, build, and maintain scalable data pipelines and platform infrastructure on Snowflake, owning the platform end to end.
Champion data quality, governance, and consistency, ensuring high-trust data for all downstream consumers.
Build with AI-native tooling, setting up development environments and establishing team practices for the AI era.
RxSense is a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform, connecting the pharmacy ecosystem.
Build at the customer site: write production-quality agents, integrations, and data pipelines on Redpanda ADP inside the customer’s environment and codebase.
Work in unfamiliar territory fast: ramp quickly in new codebases, data environments, and constraints.
Own the technical deliverable from design to handoff, ensuring it is documented, maintainable, and running in production.
Redpanda is the first runtime and control plane for agent-data interaction, combining streaming, SQL analytics, and intelligent connectivity with governance for enterprise AI agents. It is a fast-moving, diverse, people-first organization with team members around the globe, trusted by Fortune 500 companies and startups.
Design, build, test, deploy, and maintain scalable cloud-based data pipelines that ingest and transform data from product, operational, and third-party systems.
Own data-pipeline architecture, including orchestration, monitoring, reliability, performance, and data quality.
Develop workflows, transformations, and data models that transform raw data into useful, trusted, and actionable information.
Karat is the world's largest interviewing company, providing a powerful system for technical leaders at companies like PayPal, Atlassian, and Citi to control how they hire top engineers. The company values data-driven insights, inclusivity, and a diverse workforce.
Build and maintain connectors to CRMs, ERPs, help desks, and data warehouses.
Design pipelines that sync on a schedule or in real time, and recover cleanly from failures.
Map messy client data into clean models and write agent results back into client systems.
Stello is an AI transformation firm that builds AI agents to automate operational workflows for mid-market and enterprise companies. It is a small team where members review each other's work, share learnings, and reward delivery with increased scope.
Design and scale high-performance data pipelines into Snowflake for a large e-commerce platform.
Automate data engineering workflows using agentic systems and AI-native tooling.
Collaborate with analytics, data science, and product teams to deliver end-to-end data solutions.
This partner company operates a large-scale e-commerce and digital platform serving millions of users. It fosters a remote-first culture across the U.S. and Canada, emphasizing innovation, ownership, and practical use of AI.
Architect and own marketing data infrastructure: ETL/ELT pipelines, Databricks Gold Layer tables, and core data models.
Design semantic layers, data dictionaries, and documentation that enable self-serve BI and conversational analytics.
Lead cross-team initiatives and drive AI-enabled data products and agents from concept to production.
Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, helping organizations that run physical operations harness IoT data to improve safety, efficiency, and sustainability. As a recently public company, it offers a high-growth, collaborative culture with autonomy to make an impact.
Own data infrastructure hands-on: pipelines, ETL/ELT, freshness, reliability, and cost.
Build trusted data layer with models, tests, observability, and metrics for self-serve use.
Lead as player-coach: grow a two-person team and ship an AI initiative quarterly.
Fundraise Up is a global fundraising platform that makes donating to nonprofits fast, seamless, and accessible. It powers tens of millions in monthly donations, serves leading nonprofits like UNICEF, and holds a 4.9/5 rating.
Lead architecture and implementation of high-impact data pipelines across AI usage, Unit Economics, and enterprise applications.
Define data models for AI adoption, consumption, and spending with stakeholders across the organization.
Protect data accuracy through automated testing, reconciliation, anomaly detection, and monitoring.
Airbnb is an online marketplace that connects hosts offering unique stays and experiences with guests worldwide. It has grown to over 5 million hosts and welcomes over 2 billion guest arrivals, with a culture that values trustworthy data, thoughtful architecture, and engineering rigor.
Manage and guide engineering teams, building end-to-end data pipelines using Fivetran, dbt, Snowflake, and Databricks.
Partner with Finance, Sales, and Operations to unify reporting models for pipeline health, ARR, churn, and LTV.
Enforce data governance and modeling standards, while serving as a trusted advisor to C-suite leaders.
JumpCloud is the AI-powered unified IT management platform that secures the modern workforce by consolidating identity, device, and access management. It is a remote-first company with teams in over 15 countries, fostering a collaborative and inclusive culture.
Build and operate data pipelines into Google BigQuery using incremental loading and change data capture.
Develop bronze, silver, and gold datasets for enterprise reporting and analytics.
Partner with BI, data science, engineering, and business teams to deliver high-quality data.
Vultr provides high-performance cloud infrastructure including compute, GPU, bare metal, and storage solutions across 33 global data centers. It has grown into a leading privately-held cloud infrastructure company, serving hundreds of thousands of customers in 185 countries, with a $3.5 billion valuation.
Own customer deployments end to end, working directly with customers to turn business problems into software.
Build automated, normalized pipelines on top of messy real-world supply chain data and shape optimization logic and models.
Wire Atomic into customer systems and partner platforms while building interfaces and AI features for plan analysis.
Atomic is rebuilding the brain behind the American supply chain with an AI-native stack, delivering operations optimization for customers. We're looking for first-principles thinkers who want to write code that drives the physical world and work directly with customers who run it.
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.
Build speech and text pipelines, LLM workflows, and integrations the client runs on.
Deploy to the client's cloud, instrument what you ship, and fix what breaks.
Write the tests, evals, and docs that keep it working after the engagement ends.
Lunon is an AI-native consulting firm that embeds engineers inside businesses to ship software. The team is young, fast-moving, and owns what they ship end to end, working with the newest tools.
Architect and build scalable data pipelines for batch, event-driven, and streaming data movement across hybrid environments.
Own the Snowflake data platform, develop dbt pipelines, and build semantic layers for AI-ready self-service data.
Lead, mentor, and coach a small data engineering team plus decentralized analysts to raise standards.
Nimble Gravity helps leading financial institutions and other clients adopt AI in meaningful ways. The company has a collaborative, coaching culture and is an Equal Opportunity Employer that values teaching and helping people embrace new ways of working.
Own customer data integrations for hospital systems from discovery to production
Design and build reliable data pipelines ingesting ERP and operational data
Troubleshoot integration failures and build reusable connectors for scale
Clarium is an AI-powered healthcare supply chain platform reducing hospital overspending through its Astra OS. Founded in 2020, it has raised $43M and is trusted by top health systems, with a high-growth, collaborative culture.