Supports daily governance operations across catalog, lineage, and data classification/tagging processes.
Manages timely execution of data cataloging, lineage, and sensitivity tagging in Collibra and MS Purview.
Develops SOPs, user guides, and training to onboard data stewards and ensure compliance.
U.S. Financial Technology builds and operates the world's largest mortgage securitization platform, supporting Fannie Mae and Freddie Mac's Uniform Mortgage-Backed Security. The company supports 70% of mortgage-backed securities in the market, combining financial services expertise with technology innovation.
Build new functionality within a fast-moving product, taking ambiguous ideas from design to rigorous experimentation within weeks.
Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization.
Build production-grade ML systems at Twilio scale, leveraging the latest AI development stacks to focus on core differentiation.
Twilio is a cloud communications platform that enables businesses to create personalized customer experiences through APIs and AI-driven solutions. The company is remote-first, serving hundreds of thousands of businesses, and fosters a culture of connection, inclusion, and innovation.
Own the middle layer of the data pipeline, integrating Quantum interaction data with account, device, and operational data sources.
Build and maintain ETL workflows, develop AWS processing resources, and prepare reliable datasets for Tableau.
Investigate data discrepancies, troubleshoot pipeline issues, and collaborate with engineering leads and product owners as data complexity grows.
Blend is a premier AI services provider that partners with clients to create meaningful impact through data science, AI, technology, and people. The company fosters a culture of innovation and collaboration, dedicated to developing world-class talent and delivering data-driven strategy.
Lead the Data Engineering team and own the architecture of Snowflake, PostgreSQL, and pipelines.
Drive our transition to a Medallion architecture and modern data stack.
Partner across business teams to build scalable, trusted data platforms with strong engineering practices.
Founded in 2017, NinjaHoldings provides digital banking and lending products through CreditNinja and NinjaCard, plus analytics services via Edge. We are a lean, growing, remote-first company headquartered in Chicago with a distributed global workforce.
Design, build, and support scalable data pipelines for trusted analytics and operational reporting.
Partner with product, analytics, and business teams to translate ambiguous needs into reliable technical solutions.
Implement data quality, CI/CD, and observability practices to keep production systems accurate and supportable.
NBCUniversal is a leading media and entertainment company creating content across film, TV, streaming, and theme parks. As a Comcast subsidiary, it values diversity and community service.
Design, deploy, and optimize data and AI/ML systems on AWS end-to-end.
Maintain and evolve production platforms, monitoring for drift and improving reliability.
Partner with AWS Professional Services and client teams to align data and AI architecture with business goals.
We are an applied AI engineering firm building AI co-workers that integrate into enterprise operations and deliver measurable client results. Founded in 2009, we are a smaller, senior team with delivery centers in the US, Canada, Eastern Europe, and Latin America, averaging 15+ years of experience.
Design and build scalable data pipelines on AWS using Python, PySpark, and Glue.
Develop AI agents and REST APIs using Amazon Bedrock and modern pro-code practices.
Work across the full engineering lifecycle from architecture to productionization.
This is a partner company hiring for a remote contract role through Jobgether. They focus on building production-grade AI, data engineering, and cloud solutions in a fast-moving environment.
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.
Design and build production software and data systems for a premier banking client.
Work hands-on with cloud-native technologies and modern architecture on enterprise-scale data movement and transformation.
Collaborate in Agile teams applying strong Python, AWS, and relational database skills to real-time and batch processing.
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Our exceptional team thrives in a culture of collaboration, creativity, and continuous learning, with a track record of success spanning over 20 years.
Contribute to software design and architecture, ensuring scalability and reliability in line with team goals.
Develop and enhance new features, debug complex issues, and optimize performance using AI-assisted development tools.
Collaborate with cross-functional teams including QA, Product, and DevOps to ship features end-to-end.
Re:Build operates an advanced end-to-end manufacturing platform that partners with industrial companies to bring products from concept to full-scale production in aerospace, defense, electrification, medical, energy, and robotics. The company is guided by The Re:Build Way principles and focuses on revitalizing America's manufacturing base while creating meaningful jobs.