"data quality" Jobs
1053 open tech roles matching “data quality”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: AI/ML, Python, SQL. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 1053 results
Lead the Metadata team at Fivetran, focusing on technical excellence and project delivery in a fully remote environment.
Lead the Tax Quality team to ensure compliance and accuracy in payroll tax filings for a remote-first company.
Lead the development of computer vision and ML algorithms for clinical decision support at Neko Health.
Lead the Internal Product Analytics team at Datadog, managing analysts and driving AI-first analytics for product decisions.
Lead a team of data scientists to develop machine learning models for preventative healthcare at Neko Health.
Lead a team of Analytical Engineers at Asana to enhance data trustworthiness and enable self-serve analytics.
Lead the reliability team in Taipei to enhance product quality and reliability across the product lifecycle.
Lead a team of Forward Deployed Engineers to drive data and AI transformations for enterprise customers.
Lead a team of engineers to develop a reliable platform for managing tabular data at Datadog.
Lead the data strategy at Crosby, an AI-native law firm, focusing on building systems and teams for data-driven decision-making.
Lead a team of designers to enhance AI monitoring and management products at Datadog.
Join Axion Ray as a Quality Insights Lead to enhance customer success and drive value in a remote role with occasional travel.
Lead a high-performing engineering team to tackle data and AI challenges using the Databricks platform.
Lead the Data Science Team at Neko Health to develop algorithms that enhance preventative healthcare using innovative sensor data.
Lead quality assurance for medical device hardware and firmware, ensuring compliance and safety in a fast-paced startup environment.
Lead a team of Data Scientists at Monzo to drive data-driven decision making and product development.
Lead and grow a team of data platform engineers to build scalable data infrastructure for high-velocity experimentation.