Design and maintain scalable data pipelines for ingestion, transformation, and delivery into data warehouses, feature stores, and ML/AI systems.
Build workflows for processing unstructured data and develop semantic representations to enable advanced search, retrieval, and LLM-powered applications.
Collaborate with stakeholders to translate business requirements into scalable data and ML solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They use technology to review applications and share top-fitting candidates directly with employers, ensuring a fair and efficient hiring process.
Design, build, and maintain scalable data and ML pipelines for analytics and AI systems.
Build and optimize workflows for structured and unstructured data, enabling semantic search and RAG use cases.
Manage and optimize vector databases and indexing strategies for efficient retrieval and AI-powered search.
This is a partner company seeking a Data & Machine Learning Engineer based in Brazil. They operate in a highly technical and global environment with strong emphasis on scalability, performance, and innovation.
Partner with business stakeholders across Operations, Customer Success, Product, Growth, and Learning to drive data-informed decisions.
Own data modeling and engineering, ensuring data quality and trust in dashboards and pipelines.
Advance AI-native data practices and collaborate with engineering on analytics architecture.
Pathstream transforms frontline employees into strategic contributors through enterprise partnerships. We are a mission-driven team of ~60 employees with a tight-knit, hardworking culture focused on scaling our solution across the United States.
Provide technical leadership and mentorship to junior engineers on the Applied AI team.
Design and implement scalable architectures for LLM-based applications, including agents and vector databases.
Develop evaluation pipelines and prototype components to validate AI product concepts.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They prioritize fair and efficient recruitment, fostering an inclusive and diversity-driven workplace culture.
Own the gold data layer by transforming silver tables into curated, semantically rich datasets for AI model development.
Reverse-engineer data semantics by collaborating with product engineers, clinical experts, and analyzing SQL queries and stored procedures.
Build pipelines for reuse, automate quality filtering and synthesis, and maintain reproducible dataset snapshots.
PointClickCare is a leading health tech company that helps providers deliver exceptional care through AI and data. Privately held and founder-led, they serve over 30,000 organizations, were recognized as a top private cloud company by Forbes, and have one of Canada's Most Admired Corporate Cultures.
Build and maintain data pipelines for analytics, ML, and product applications.
Design scalable data infrastructure with a focus on quality and observability.
Collaborate with cross-functional teams to understand data needs and implement solutions.
Prolific builds human data infrastructure to power the next wave of AI innovation. They are a remote-first company focused on ethical data collection and mission-driven culture.
Architect and lead the design of data systems serving both operational business stakeholders and product/engineering teams.
Extend internal AI platform and bring software engineering rigor to data work including testing, CI/CD, and code review.
Build and own data models, partner with product engineering, and mentor teammates to raise the technical bar.
ZipRecruiter is a leading online employment marketplace powered by AI-driven intelligent matching technology. The company has the #1 rated job search app on iOS & Android and connects job seekers with millions of businesses.
Work with senior business stakeholders to break down problems and design analytics solutions.
Provide technical leadership for best practices in data modeling, ETL, and data quality.
Design and build data pipelines to enable decision-making through analytics.
Nortal is a digital transformation company that delivers complex solutions for global enterprises and public sector organizations. With over 25 years of experience and 160 new hires annually, we foster a close-knit remote culture emphasizing autonomy, open communication, and respect for diversity.
Work cross-functionally with Product and experts to conceptualize, prototype, and build data solutions
Build and maintain data engineering systems and high-quality data models from multi-source healthcare datasets
Develop and test data pipelines and draft internal and external technical documentation
Turquoise Health is a Series C price transparency platform for finance leaders across healthcare. Backed by a16z, Oak HC/FT, and others, we are a remote-first, US-based team that values transparency, empathy, inclusivity, creativity, and ownership.
Design, build, and scale systems for customer-facing data products and machine learning workloads.
Collaborate with product, engineering, and cross-functional partners on complex data challenges.
Implement data quality, observability, and governance frameworks for reliable data at scale.
Boulevard provides the first and only client experience platform for appointment-based self-care businesses. The company has an insatiable curiosity and embraces experimentation, with a diverse team that values open communication and equal opportunity.
Develop long-term technical vision and design scalable data systems.
Build and maintain production data pipelines using Python and integrate external APIs.
Mentor engineers and uphold standards for engineering excellence.
Correlation One is the largest provider of AI and data workforce development programs globally, having trained over 500,000 professionals across 11 countries. They work with Fortune 500 enterprises and government agencies to close skills gaps, and foster a culture of empowerment and diversity.
Build and maintain measurement infrastructure for outcome metrics to ensure metrics are live and credible.
Design and build an AI-native self-serve data layer for product builders to validate their own work.
Compile quantitative signal for strategic PMs and own data pipelines end to end.
Camunda is the enterprise platform for agentic orchestration, enabling organizations to coordinate AI agents, people, and systems across complex business processes. Trusted by over 700 organizations worldwide, including 9 of top 10 US banks, we are fully remote and global, and certified as a Great Place to Work.
Design and build production-ready AI agents that allow users to query enterprise data using natural language.
Develop Text-to-SQL pipelines using LLMs, ensuring generated queries are accurate, secure, and performant.
Collaborate with cross-functional teams to integrate AI into scalable platforms and improve accuracy through testing.
This role is listed on behalf of a partner company, which manages all applications and next steps. The company uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
Play a crucial role in helping client organizations transform raw data into reliable, well-modeled assets that drive business decisions.
Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform.
Collaborate with data engineers, analysts, and clients on end-to-end data requirements and project delivery.
Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. Our culture is built on a foundation of trust, collaboration, and continued improvement, and we are a remote first company that offers competitive pay and excellent benefits.
Partner with analytics, marketing, and product teams to understand data needs and build systems for AI applications to access trusted data at scale.
Define standards, infrastructure, and governance for AI-driven experiences, ensuring data reliability, security, and usability.
Drive projects from design through production deployment, implementing data security and governance practices for sensitive data.
Rula is a mental healthcare company dedicated to treating the whole person with evidence-based, compassionate care. They are a remote-first organization with a focus on diversity, equity, and inclusion, hiring in most US states.
Design and own the data foundations that power decision-making across product squads, customer success, marketing, and external stakeholders.
Build and maintain scalable semantic layers and self-service analytics systems enabling non-technical stakeholders to access trusted insights.
Partner with product squads to translate operational and product challenges into production-ready data pipelines and analytics assets.
Our partner company is building a fast-scaling product and data ecosystem where analytics is a product itself, supporting healthcare innovation. It is a mission-driven organization offering a remote-first work model with a Paris office and a collaborative culture.
Design, build, and maintain ETL pipelines moving data between application databases, cloud warehouses, third-party APIs, and object stores.
Partner with product managers, research scientists, and engineers to translate ML requirements into scalable data solutions.
Investigate and resolve data integrity issues including missing data, incorrect mappings, duplicates, and schema mismatches.
Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company has a network of over 500,000 linguists and domain experts with seven ISO certifications.
Build, maintain, and scale data pipelines integrating internal and external data into the warehouse.
Partner with internal stakeholders and engineering teams to understand analysis needs and improve data logging.
Participate in architectural decisions and evangelize data engineering best practices.
OXIO is the world’s first telecom-as-a-service platform, democratizing telecom for brands and enterprises to own proprietary mobile networks. The company is a rapidly growing startup with a diverse and inclusive team.
Build and maintain BigQuery data models using Dataform, following medallion architecture patterns.
Build robust Python data pipelines with testing, linting, and CI/CD integration.
Support Data Scientists in moving work from notebook to production pipeline.
Kitman Labs is a performance intelligence company disrupting the sports industry by using data to unlock athlete potential. Their team of top data scientists, performance scientists, and engineers serves over 2000 teams in 50 leagues globally, fostering an innovative and world-class culture.
Architect and scale data systems for analytics, ML/AI products, reporting, and APIs.
Own the full data lifecycle including ingestion, transformation, modeling, validation, and serving.
Partner with Data Science to productionize models and build reliable data foundations for AI-driven products.
Vidmob is the creative data company that provides scoring software and analytics to help marketers and agencies drive business results through improved creative effectiveness. They partner with top marketers and agencies worldwide and operate the industry's most robustly instrumented human-reinforcement learning model for creativity.