Remote Data Jobs · Data Quality

• Design and build scalable, fault-tolerant data pipelines for batch and streaming architectures.
• Own data quality and observability end-to-end with monitoring, alerting, and automated testing.
• Architect enterprise-grade datasets using appropriate modeling approaches like dimensional modeling or Data Vault.

The company builds foundational data infrastructure for analytics and AI at enterprise scale. The engineering team fosters a technically ambitious environment focused on long-term platform health and scalable architecture.

• Lead the development and evolution of data governance frameworks and stewardship practices across the organization.
• Partner with stakeholders across Data Strategy, Technology, Security, Legal, and Compliance to strengthen data quality and governance.
• Balance strategic thinking with hands-on execution to promote data literacy, accountability, and continuous improvement.

The company is a data-intensive organization operating in the insurance industry. It prioritizes data governance and stewardship with a collaborative, respectful, and solution-oriented culture.

• Own the end-to-end lifecycle of a data domain, building reusable systems and methodologies that enable dozens of downstream teams to move faster with greater confidence.
• Design validation frameworks, monitoring, and QA systems that proactively detect issues, reasoning deeply about representativeness and bias.
• Partner with technical product managers and data engineering managers to set analytical direction and make tradeoffs between speed, rigor, and scalability.

YipitData is the leading market research and analytics firm for the disruptive economy, analyzing billions of alternative data points. They operate globally with offices in the US, APAC, and India, and have been recognized as a Best Workplace for three consecutive years.