"data cleaning" Jobs
424 open tech roles matching “data cleaning”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, TypeScript. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 424 results
Join a small, passionate team to build data systems for training frontier coding models at Cursor.
Build and own the data infrastructure for a rapidly growing observability platform in a hands-on, solo role.
Join Perplexity AI as a senior analytics engineer to build a robust data foundation for AI-driven decision-making.
Own the data pipelines at Ambience Healthcare to ensure accurate and trusted analytics for improving healthcare outcomes.
Join Cursor as a Software Engineer on the RL Data team to create and improve tasks for training coding agents.
Join Discord as a Staff Data Engineer to lead the technical vision for our analytical data infrastructure supporting millions of users.
Join Benchling as a Marketing Data Analyst contractor to enhance data models and dashboards for AI-driven marketing efforts.
Build data infrastructure to support strategic decision-making in a high-impact role at Decagon.
Join Cartesia as a Software Engineer to shape data infrastructure for cutting-edge AI models in a collaborative, in-office environment.
Join Together AI as a Data Analytics Engineer to build and maintain data infrastructure for GTM, finance, and product teams.
Join Databricks as a Senior Revenue Accountant to manage the full accounting close cycle and drive process improvements.
Join Strava as a Senior Data Engineer to build scalable data systems that support analytics and critical business use cases.
Build the data foundation for Anthropic’s quote-to-cash lifecycle as a Data Engineer on the Data Science & Analytics team.
Join Harvey AI as a Senior Analytics Engineer to design data models and pipelines that drive decision-making across the organization.
Design and operate large-scale multilingual data pipelines while advancing the efficiency of language models in a fast-moving team.