Design and own scalable data infrastructure for real-time and batch processing, including pipelines handling billions of events daily.
Architect medallion-layer data models in Databricks and build AI-assisted workflows with Claude Code.
Partner with analytics and data science teams to deliver reliable datasets and enable natural-language querying.
Life360 is a family safety and location-sharing platform offering mobile apps, Tile trackers, and Pet GPS with crash detection. It has 102M+ monthly active users and 500+ remote-first employees, with an AI-native, trust-based culture.
Administer and support Databricks workspaces, cluster policies, compute, jobs, workflows, and Unity Catalog governance.
Monitor and troubleshoot Spark, Delta Lake, and data pipelines while maintaining AWS infrastructure such as EC2, VPC, IAM, and S3.
Build automation with Terraform, CI/CD, and scripting, and participate in on-call production support and incident response.
Oportun is a mission-driven financial services company that provides affordable credit, savings, and budgeting tools to help members build financial stability. As a publicly traded company, it emphasizes innovation, speed, and AI adoption while maintaining a high-performance, collaborative culture.
Design and own end-to-end lakehouse architecture on Databricks using Medallion patterns.
Build and optimize scalable batch and streaming pipelines in PySpark, Spark SQL and Python.
Define data governance, model data for analytics, and mentor junior engineers.
GoFasti is a Talent-as-a-Service that connects world-class developers and designers from Latin America with companies worldwide. The company emphasizes remote work and continuous learning, seeking proactive and detail-oriented professionals.
Build and maintain Imagine's analytics platform, including AWS infrastructure, data pipelines, and core data models.
Develop and optimize Spark and dbt pipelines processing billions of device events into reliable, cost-effective datasets.
Ensure platform reliability, security, and operational excellence while collaborating with the global Analytics Team.
Imagine Worldwide is a nonprofit providing tablet-based literacy and numeracy learning to marginalized children across Sub-Saharan Africa. Operating as a small, remote team across Africa, the US, and the UK, it values collaboration, innovation, and mission-driven impact.
Design, develop, and evolve backend services and REST APIs with Python and FastAPI, applying best practices in architecture, security, and maintainability.
Build and operate a communications dispatch service integrating message queues and external APIs, with idempotency, retries, rate limiting, and error handling.
Collaborate with development, data, and IT/DevOps teams to integrate Azure services, databases, and data processes such as Databricks.
Muttdata builds innovative Data Products and Machine Learning solutions to help companies solve complex business challenges. As a fast-growing, remote-first startup, we are passionate about technology, collaboration, and continuous learning.
Design and implement execution patterns, tool-calling infrastructure, and runtime guardrails for agentic workflows.
Build core services and reusable runtimes to connect LLMs and agents to governed data on Databricks.
Integrate agent workflows into Delta Lake, Unity Catalog, and multi-cloud pipelines across GCP and Azure.
Kinaxis is a global leader in modern supply chain orchestration, providing an AI-infused platform for complex global supply chains. They have over 2000 employees worldwide and are recognized with multiple Top Employer awards for their strong culture and commitment to innovation.
Orchestrate production pipelines on Databricks Jobs with task dependencies and failure handling.
Manage model lifecycle in MLflow and Unity Catalog across dev, QA, and production.
Ensure operational continuity with cost monitoring, observability, and incident diagnosis.
Muttdata builds innovative data products and machine learning solutions for demand planning, forecasting, and e-commerce. As a fast-growing, remote-first startup, they value ownership, collaboration, and continuous learning.
Supporting development, maintenance, and continuous improvement of client data platforms.
Designing ETLs and ELTs, building Lakehouse architectures, and managing data pipelines.
Working with AWS data services, Apache Spark, and DevOps tools in an Agile environment.
Netrix Global provides people, processes, and technology to run and scale modern data-driven businesses. They have a strong, collaborative remote team with opportunities to expand skillsets across the organization.
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.
Design and build scalable cloud-based data platforms and pipelines in AWS or Azure/Fabric with Databricks.
Enable data pipelines for AI, GenAI, and analytics, including batch and streaming processing.
Collaborate with data scientists and business teams to shape requirements and deliver production-grade data solutions.
Valtech is an experience innovation company that helps brands unlock new value through data, AI, creativity, and technology. They foster a values-driven culture with an emphasis on inclusion, diversity, and professional growth.
Lead migration of the data platform to a modern Databricks lakehouse built on dbt, replacing legacy systems.
Build ELT pipelines with Databricks, dbt, and Fivetran to deliver curated, AI-ready datasets.
Mentor engineers, set technical standards, and partner with data science and AI teams.
Buildertrend is a leading residential construction management platform that helps contractors control financials, schedules, workflows, and client relationships in one system. With nearly two decades of industry expertise, the company fosters a culture of work-life balance and personal growth.
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.
Lead customer technical projects to deliver production-grade data and AI solutions on the Databricks platform.
Design and architect end-to-end systems spanning data engineering, AI, and application development.
Work hands-on with customers, guiding architecture and empowering adoption through training and implementation.
Databricks is the data and AI company, offering a unified platform for data engineering, analytics, and AI. With more than 20,000 customers including 70% of the Fortune 500, the company is headquartered in San Francisco with 30+ offices globally.
Build, operate, and optimize robust data pipelines in Databricks (Python, SQL) using the Medallion Architecture.
Manage governance, access rights, and data lineage with Unity Catalog and deliver data via Power BI dashboards and Genie.
Automate deployments with Terraform and CI/CD pipelines, and leverage AI coding assistants like Claude Code or GitHub Copilot.
We are an agile IT software house with around 80 colleagues. We develop software solutions for industry and smart factory, from IoT platforms to agentic AI, turning complex industrial data into practical value.
Set the technical direction for Censys's integrations portfolio and lead delivery across internal and external engineering teams.
Build and maintain integrations with cloud platforms and security operations platforms such as SIEM, SOAR, and TIP.
Develop scalable API connectors, contribute to open-source APIs/SDKs, and advance AI Agent integrations.
Censys builds the Censys Platform, turning internet intelligence into real-world security outcomes with the world's most comprehensive map of the Internet. Trusted by half the Fortune 500 and government agencies globally, the company values diversity and inclusion and seeks passionate problem-solvers.
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.
Design transactional and credit behavior features for the risk model, ensuring reliable signals for credit scoring.
Implement features with complete standard metadata and D1/D2 design to maximize reuse and governance.
Follow the deployment pipeline with job monitoring and FinOps practices to maintain consistency between training and production.
We build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning.
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.
Become a trusted data and AI advisor, translating business questions into AI-ready data architectures.
Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, ETL/ELT pipelines, and semantic layers.
Engineer modern data pipelines and models, writing production-ready code in SQL, Python, and Spark with Git and CI/CD best practices.
Aimpoint Digital is a fully remote AI and Data consultancy that partners with clients to design end-to-end analytical solutions and AI-ready data architectures. The company is a dynamic, growing team that blends modern tools with proven principles to deliver optimal data engineering outcomes.
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.