Work with large data sets and implement sophisticated data pipelines with both structured and semi-structured data.
Collaborate with stakeholders to design scalable solutions and manage internal data pipelines.
Define data governance policies and leverage AI tools to streamline data pipeline development.
For over four decades, PAR Technology Corporation has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. With over 100,000 restaurants in more than 110 countries, we embrace a 'Better Together' ethos and offer comprehensive software and hardware solutions.
Build and scale data infrastructure powering targeting, identity, and measurement capabilities.
Optimize core ETL/ELT pipelines and ensure operational reliability with documented SLAs.
Implement privacy-compliant data methodologies meeting GDPR/CCPA standards.
Kargo creates powerful moments of connection between brands and consumers to build businesses. With 600+ employees and offices across the US, UK, Australia, and Ireland, they take a creative science approach to deliver unique ad experiences across premium platforms.
Design, develop, and maintain scalable ETL/ELT data pipelines to ingest, transform, and load data into data warehouses.
Implement and monitor data quality frameworks, ensuring accuracy, consistency, and reliability across datasets.
Collaborate with data scientists, analysts, and business stakeholders to deliver effective data solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They focus on efficient and fair candidate evaluation through technology.
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.
Own the dbt project end to end, including documentation, testing, dev/prod separation, and clean schema design.
Own the semantic layer with metric definitions, data quality standards, and governance processes for self-service analytics.
Own data observability and orchestration, monitoring pipelines and building infrastructure on AWS.
Nest Health is the first value-based care provider built for families, making comprehensive medical, behavioral, and social care accessible to America’s highest risk families. Founded in 2022, Nest is a startup with a fast-paced, ever-changing environment where employees wear multiple hats and are highly autonomous.
Lead development of core machine learning systems, fine-tuning LLMs and building NLP pipelines to extract data from insurance documents.
Architect training workflows using user feedback, and build intelligent agents for complex web interfaces.
Design evaluation pipelines and scalable systems for training, inference, and feedback in a fully remote role.
Total Performance Consulting provides AI, consulting, software development, and nearshore staffing services. The company operates with a small, fast-moving team and works on meaningful problems alongside its founders.
Develop, validate, and optimize statistical and machine learning models including regression and XGBoost to detect and prevent fraud.
Design features, build tools, and deploy models in production environments to improve performance and stability.
Conduct model governance activities including validation, documentation, and ongoing monitoring with clear reporting.
Experian is a global data and technology company powering opportunities for people and businesses worldwide, operating across financial services, healthcare, automotive, and more. With 23,300 employees in 32 countries, the company is a FTSE 100 Index listed firm recognized for its people-first culture and advanced technology investments.
Build scalable Python-based data pipelines and backend services for analytics workflows.
Design software systems using object-oriented programming and sound engineering practices.
Create and support platforms for analytics development, model training, and model deployment.
Experian is a global data and technology company that powers opportunities for people and businesses worldwide across markets like financial services, healthcare, and automotive. With a team of 25,200 people in 32 countries, Experian invests in advanced technologies and its people to unlock the power of data.
Administer and maintain Tableau Server, ensuring performance, scalability, and high availability.
Design, develop, and optimize Tableau dashboards to meet business and analytical needs.
Manage and troubleshoot data connectivity using ODBC/JDBC across multiple data sources.
Nortal has been shaping digital transformation for over 25 years, delivering complex solutions for global enterprises and public sector organizations. They are at the forefront of an AI-driven transformation era, helping organizations turn data into real business value.
Translate business requirements into technical specifications for AWS-based data architecture.
Manage and optimize Data Warehouses & Data Lakes.
Design and administer data architecture in compliance with PCI, GDPR, and CCPA.
Aevi is a payments technology company providing a cloud-based platform for payments and transaction data. The company operates globally with offices in Europe, Australia, and the US and fosters a culture of innovation, diversity, and flexibility.