Designing and building scalable data pipelines that power AI models, machine learning workflows, and intelligent product capabilities.
Owning the reliability, performance, and operational excellence of production data platforms.
Developing ETL/ELT solutions using Python, SQL, AWS, and modern cloud-based data technologies.
Ideagen provides software solutions that improve safety and quality across aviation, food, and healthcare industries. With offices globally, the company values work-life balance and fosters a culture of innovation, leveraging AI to work smarter.
Own the data methodology and carry derived data points through development, QA, and production into metrics and categories.
Validate numbers using reconciliation SQL, version-over-version comparisons, and impact analysis before logic changes ship.
Turn feature requests from product and customer teams into delivered analytics by scoping, writing logic, and validating results.
Clarify partners with 60+ health systems to provide healthcare analytics and outcomes by mapping patient journeys and care economics. The company works with 300 million patient journeys and fosters a collaborative, impact-driven culture with a focus on mission and margin alignment.
Contributes to existing code repositories following Git best practices and communicating clearly with the team.
Builds data pipelines and develops ETL processes feeding AI agents and downstream applications.
Develops front-end interfaces for internal applications and supports machine learning models for computer vision and forecasting.
We help large enterprises transform the potential of AI into real business impact. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact.
Develop and maintain data pipelines for data ingestion, transformation, and processing using Python and SQL.
Collaborate with Data Engineers, Analysts, and global stakeholders to deliver effective data solutions.
Apply modern data engineering practices, including Git, CI/CD, and cloud platforms like Azure and Databricks.
They partner with global clients to deliver large-scale digital transformation initiatives through data solutions. They foster a remote, multicultural environment emphasizing technical growth, collaboration, and continuous improvement.