"customer data pipelines" Jobs
5569 open tech roles matching “customer data pipelines”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, AWS. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 5569 results
Join RevenueBase as a Data Engineer to build and maintain reliable data pipelines in a fully remote, growth-stage company.
Build and own the data infrastructure for a rapidly growing observability platform in a hands-on, solo role.
Join Profound as a Data Engineer to own and scale our data platform in a fast-paced AI marketing environment.
Join Datadog as a Senior Data Engineer to design and build high-throughput data pipelines for billing and cost attribution.
Join Baseten as a Data Engineer to build and scale the internal data platform for AI-driven decision-making.
Join Shift Technology as a BI & Data Engineer to develop scalable data models and optimize ETL pipelines in a collaborative environment.
Join EliseAI as a Senior Data Engineer to build and maintain data infrastructure that drives decision-making in housing and healthcare.
Lead a team of engineers to manage data import and export pipelines at Amplitude, ensuring reliability and efficiency.
Architect and scale Imprint's core data platform while leading engineering practices and adopting AI-assisted workflows.
Join Sarvam AI as a Staff Data Engineer to design and build a foundational Data & Analytics Platform in Bengaluru.
Join Luxury Presence as a Senior Analytics Engineer to build and scale the analytical foundation for decision-making across various teams.
Join Cogent Security as a Staff Software Engineer to build foundational data platforms for enterprise AI-driven cybersecurity solutions.
Join Coinbase as a Senior Data Scientist to drive impactful analytics that connect customer support interactions to financial outcomes.
Lead the development of sales data models and agents to enhance CRM intelligence at Databricks.
The Data Analyst will design and maintain data infrastructure to ensure reliable data for analytics and reporting.