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.
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.
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.
Own the strategy, roadmap, and investment priorities for agricultural data products, including pipelines, canonical data models, APIs, and shared data services.
Partner with Data Engineering, Architecture, Data Science, and Product teams to translate customer needs into scalable, trusted data solutions.
Define success metrics across data quality, reliability, adoption, and commercial impact while driving data initiatives from discovery through delivery.
DTN is a global data and technology company helping operational leaders in energy, agriculture, and weather-driven industries make faster, smarter decisions. With more than 1,200 employees globally, DTN serves the companies that feed, fuel, and protect the world.
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.
Design and build production-grade Python scrapers and scalable ingestion pipelines for web-data acquisition.
Own the full engineering lifecycle from investigation to deployment and production support.
Work independently while collaborating with a distributed team through code reviews and structured workflows.
The company specializes in data engineering and web-data acquisition for research and data products. It embraces a remote-first culture with a distributed, collaborative engineering team.
Collaborates with researchers and cross-functional teams to design and deliver scalable data solutions on Azure Fabric.
Develops and maintains data pipelines, ETL/ELT processes, and ensures data quality and HIPAA compliance.
Evaluates emerging technologies and creates technical documentation for complex datasets and workflows.
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community, offering a collaborative and inclusive culture.
Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric and Databricks.
Build reliable ETL/ELT processes for structured and unstructured data and ensure production-ready integration solutions.
Collaborate with business stakeholders to translate data requirements into technical solutions and take end-to-end ownership.
This company is a technology organization seeking a Senior Data Engineer to build scalable data pipelines on Azure and Databricks. It offers a fully remote, collaborative environment with global stakeholders and a focus on engineering ownership.
Design and deploy AI-powered automations using GPT, Claude, Zapier, Make, and APIs to eliminate repetitive work.
Build and maintain Power BI dashboards and SQL/Python data pipelines for reliable business insights.
Ensure data integrity and document all systems, workflows, and processes for scalability and team adoption.
Cloud Accountant Staffing provides specialized staffing solutions for accounting firms, focusing on remote talent. They emphasize a culture of ownership, continuous learning, and innovation, with a small but dedicated team.
Run and monitor data jobs on remote Linux servers, recovering failed jobs from logs and process state.
Configure project workflows and write PostgreSQL/ClickHouse queries for throughput, completion, quality, pay, and delivery status.
Package datasets to client specifications, move them through cloud object storage, and record what has shipped.
Karya provides AI-enabled earning and learning opportunities to economically underserved communities, and high-quality, ethically sourced datasets to research labs and technology companies. The platform has delivered over 40 million tasks with digital workers earning at least 20 times the local minimum wage.
Manage ETL/ELT pipelines and data infrastructure on BigQuery to support reliable sales reporting.
Develop and maintain Looker Studio dashboards and optimize SQL queries for actionable insights.
Automate reporting workflows and investigate data anomalies to ensure data accuracy and integrity.
This company is building data infrastructure to power sales reporting, revenue operations, and business decision-making. It fosters a culture of autonomy, continuous improvement, and collaboration across sales and operational teams.
Own and contribute to architecture and development for feature management and experimentation platforms.
Build scalable backend services and frontend experiences using Node.js, TypeScript, and modern frameworks.
Drive technical decisions across distributed systems, data modeling, and observability while collaborating with product and design teams.
A technology company building a platform for feature flags, staged rollouts, and experimentation. The company has a remote-first culture and emphasizes ownership, collaboration, and AI-assisted engineering.
Collaborate with Data Science teams to deploy and maintain machine learning models in production environments.
Build robust data processing pipelines and implement MLOps and LLMOps best practices for scalable AI solutions.
Work with cloud technologies, big data platforms, and machine learning frameworks to deliver innovative technical solutions.
The company specializes in data and technology services, helping transform machine learning solutions into production-ready systems. It is an established international organization with a collaborative, inclusive culture and a strong emphasis on continuous learning and career growth.
Monitor datasets for completeness and accuracy, validate outputs across systems to ensure data integrity.
Analyze and triage data-related issues, perform root cause analysis across the full data lifecycle.
Collaborate with technical teams to resolve issues, maintain runbooks, and drive continuous improvement of data quality processes.
Hyland pioneers the Content Innovation Cloud, providing enterprise intelligence solutions that unlock actionable insights and drive automation. Trusted by thousands of organizations worldwide, including many Fortune 100 companies, Hyland employs nearly 4,000 people and fosters an employee-centric, inclusive culture focused on career development, wellbeing, and community impact.
Own and continuously improve the systems for collecting job opportunities from thousands of companies.
Design scalable data architectures and operate reliable ETL/ELT pipelines.
Collaborate with product and AI/ML teams to enhance matching quality and data foundations.
Jobgether is building a job search platform for experienced professionals in the global remote job market. They aggregate and enrich job data from around the world. We are a fully remote, international team focused on accountability and outcomes.
Analyze performance data from AI models to measure effectiveness and understand user behavior.
Research and evaluate new AI/ML approaches and summarize their business applications.
Create reports, dashboards, and presentations to communicate findings to clients.
TensorOps is an applied-machine-learning studio that helps organizations across Europe and North America design, train, and deploy production-grade GenAI systems. Their team blends research depth with pragmatic engineering and offers a fully remote, collaborative culture.
Design and build new features for the Django backend that powers the consumer dashboard and B2B platform.
Improve performance and reliability of Celery and RabbitMQ pipelines and integrate third-party services like Stripe and WorkOS SSO.
Own features end-to-end, including production debugging and code review with a small backend team.
Optery helps people get their personal data off broker sites. It's a fully remote, small startup headquartered in the San Francisco Bay Area, where engineers work directly with the founders.
Lead data hygiene and organization within Salesforce or HubSpot to ensure high data accuracy for Account Executives.
Build, format, and stage email outreach sequences in tools like SalesLoft, Apollo, or HubSpot.
Conduct prospect research to identify decision-makers and enrich contact details across cannabis operators.
Frontier helps companies grow full-time, cross-functional teams abroad. It is a fully-remote subsidiary of Fresh Prints, a 380-person company with a strong collaborative culture.
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 scalable data pipelines, models, and dashboards to support executive decision-making.
Translate ambiguous business questions into actionable analytical solutions and forecasts.
Partner with the COO and operational leaders to turn data into clear, actionable insights.
Cotulla Education, home to the Aviation Institute of Maintenance, Centura College, Tidewater Tech, and American Lineman College, provides hands-on, career-focused education in aviation, healthcare, IT, and skilled trades. With a mission to empower students, the company fosters an inclusive culture and invests in employee growth through comprehensive benefits.