"data quality tooling" Jobs
7304 open tech roles matching “data quality tooling”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, SQL. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 7304 results
Build internal products and tooling for dataset deliveries in a fast-paced robotics AI startup.
Join Databricks as a Staff Software Engineer to enhance AI agent quality through innovative evaluation infrastructure.
Join Base Power Company as a Quality Technician to ensure the quality of manufacturing processes and parts in a dynamic startup environment.
Join Base Power Company as a Senior Data Engineer to build and maintain backend data infrastructure for a next-generation power company.
Join DataHub as a Senior Product Manager to lead the development of observability and data quality solutions in a fully remote environment.
Build and own the data infrastructure for a rapidly growing observability platform in a hands-on, solo role.
Join CuspAI as a Data Engineer to build data pipelines that empower scientists in materials science research.
Join Magentic as a Data Platform Engineer to build ingestion pipelines and data schemas for AI-driven procurement solutions.
Join Datadog as a Staff Applied Scientist to lead the evaluation strategy for AI-driven Dashboards in a hybrid work environment.
Join Profound as a Software Engineer to design and scale the data platform infrastructure for AI-driven marketing solutions.
Own quality and automation for enterprise deployments, enhancing customer experience through agentic tooling and collaboration.
Join CoreWeave as a Senior Data Engineer to design and build foundational datasets for analytics and AI in a fast-growing public company.
Lead the data transformation layer at LILT, managing a new team while ensuring metric consistency across departments.
Join Podium Automation as a QC Technician to ensure the quality of industrial control panels through rigorous testing and compliance.
Lead the unification of large datasets to power generative audio models in a fast-moving team at Udio.