"data quality" Jobs
1465 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 1465 results
Own quality strategy and execution for new compute hardware platforms in a fast-growing AI cloud company.
Join Fivetran as a Senior Data Analyst to leverage data in enhancing talent acquisition and employee experience.
Lead backend development for AI-powered systems that transform complex customer data into structured outputs at Axion.
Join Enigma as a Data Operations Associate to support GTM and Product activities with a focus on data quality and customer onboarding.
Build trusted data systems to support clinical operations and analytics at a tech-driven pharma company.
Own and evolve the data lake and analytics stack for fleet monitoring at CoreWeave, leveraging modern data technologies.
Join Anthropic as a Recruiting Analytics Data Engineer to build data infrastructure for recruiting analytics in a hybrid work environment.
Manage data partnerships and initiatives to enhance AI model performance at Reflection AI.
Join Datadog as a Senior Software Engineer to enhance CI/CD security and build trusted infrastructure in a hybrid work environment.
Own and improve AI agent workflows for Sales Operations at Databricks, focusing on automation and cross-functional collaboration.
Join Mercury as a Senior Analytics Engineer to build scalable data pipelines and enhance data-driven decision-making.
Join CoreWeave as a Data Center Commissioning/Quality Manager, ensuring high-quality standards in data center construction with 50% travel.
Own the strategy and execution for CoreWeave's data services portfolio, shaping the future of data in AI cloud environments.
Lead the system design of a data platform for a cybersecurity ratings company with a focus on data quality and architecture.
Join Mercury as a Senior Data Scientist to build and deploy machine learning models for fraud detection in a fast-paced fintech environment.