Build & Operate Data Pipelines, using AWS-native data tools and distributed processing frameworks.
Operate and improve core data platform services, addressing incidents, performance issues, and operational toil.
Partner with data producers and consumers to onboard pipelines, troubleshoot issues, and improve platform usability.
Fetch is a platform where millions of people use Fetch earning rewards for buying brands they love, and a whole lot more. With investments from SoftBank, Univision, and Hamilton Lane, and partnerships with Fortune 500 companies, it is reshaping how brands and consumers connect in the marketplace. Ranked as one of America’s Best Startup Employers by Forbes, Fetch fosters a people-first culture rooted in trust, accountability, and innovation.
Design, build, and maintain scalable data pipelines.
Develop and implement data models for analytical use cases.
Implement data quality checks and governance practices.
MO helps government leaders shape the future. They engineer scalable, human-centered solutions that help agencies deliver their mission faster and better. They are building a company where technologists, designers, and builders can serve the mission and grow their craft.
Ship technically challenging projects end-to-end in a fast-paced, iterative environment.
Propel the business forward, and recognize the impact of your work on the company’s business metrics.
Own features, services, caches, and databases, including: deployment, monitoring, debugging, and testing.
Super.com is on a mission to help people save more, earn more, and get more out of life. They move fast, think big, and always put people first, investing in learning, celebrating bold ideas, and creating pathways for career growth.
Design, implement, and optimize robust and scalable data pipelines using SQL, Python, and cloud-based ETL tools such as Databricks.
Enhance our overarching data architecture strategy, assisting in decisions related to data storage, consumption, integration, and management within cloud environments.
Partner with data scientists, BI teams, and other engineering teams to understand and translate complex data requirements into actionable engineering solutions.
The New York Blood Center appears to be a medical organization. They are looking for a Senior Data Engineer to join their team.
You will be an ambassador for our data-driven culture, taking data and using it to answer business questions and drive strategy & decision making
You will access, clean and organize raw data in a way that makes sense for you, your team and your stakeholders
You’ll be taking our data and using it to answer business questions, drive strategy and decision making
Super.com's mission is to help people save more, earn more, and get more out of life, both customers and their team. They invest in learning, celebrate bold ideas, and create pathways for career growth and move fast, think big, and always put people first.
Design and implement large-scale distributed data processing systems.
Build robust data pipelines and infrastructure that transform complex data into actionable insights.
Architect data lakes, warehouses, and real-time streaming platforms.
Cloudbeds is transforming hospitality with an intelligently designed platform that powers properties across 150 countries. With a completely remote team of 650+ employees across 40+ countries, they are solving challenges and redefining what's possible in hospitality.
Design and deliver AI-powered advisors, assistants, and analytic agents.
Build and maintain high-quality, production-ready Python services.
Apply, adapt, and fine-tune foundation models to deliver reliable AI experiences.
Energage helps organizations turn employee feedback into useful business intelligence and credible employer recognition through Top Workplaces. Built on culture research and the results from 23 million employees surveyed across more than 70,000 organizations, Energage delivers the most accurate competitive benchmark available.
Design, optimize and own data pipelines that scrape, process and ingest transaction and listing data from major auction houses and marketplaces.
Build comprehensive monitoring and alerting systems to track latency, uptime, and coverage metrics across all data sources.
Continuously improve our data infrastructure by modernizing storage and processing technologies, reducing manual interventions, and optimizing for cost, performance, and reliability.
Alt is unlocking the value of alternative assets, starting with the $5B trading-card market. They let collectors buy, sell, vault, and finance their cards in one place and are backed by leaders at Stripe, Coinbase, Seven Seven Six, and pro athletes like Tom Brady and Giannis Antetokounmpo.
Design, build, and deploy AI Agents including custom tools, prompt engineering, orchestration workflows, and agent design patterns.
Contribute to the backend infrastructure powering Candidly's AI capabilities, including API development, data integrations, and data pipelines.
Work closely with stakeholders across product, design, engineering, and leadership to translate complex AI concepts into actionable strategies and features.
Candidly, founded in 2016, is the category leader with the market’s most comprehensive AI-driven student debt and savings optimization platform. They partner with hundreds of top employers, financial institutions, and retirement record keepers, positioning Candidly to serve more than 35 million Americans. Candidly is a high-growth, Series B startup, funded by leading investors with an international team of 70 (and counting).
Develop and maintain data pipelines and ETL processes using Python in AWS environments
Write and deploy AWS Lambda functions for data processing tasks
Collaborate with team members using Git for version control and code collaboration
540 is a forward-thinking company that the government turns to in order to #getshitdone. They break down barriers, build impactful technology, and solve mission-critical problems.