"data pipelines" Jobs
7411 open tech roles matching “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 7411 results
Join Nansen as a Senior Data Engineer to build data infrastructure for onchain analytics in a fully remote environment.
Design and implement BI and AI-powered analytics solutions on the GoodData platform while mentoring colleagues and interfacing with customers.
Join Handshake as a Sales Development Representative to help companies license their valuable data for AI training.
Lead technical engagements for customers as a Sr. Solutions Engineer, driving Databricks adoption in Digital Native businesses.
Build and scale the AI native web platform infrastructure at Databricks as a Senior Software Engineer.
Join Databricks as a Staff Designated Support Engineer to provide specialized support for major customers using advanced data technologies.
Join Edra as a Backend Engineer to build foundational systems in Python for enterprise AI applications.
Join Synthesia as a Research Engineer in Data to enhance model performance through high-quality datasets in a collaborative environment.
Join Databricks as a Solutions Architect to lead AI and data strategies for customers in CPG and Manufacturing.
Join Vapi as a Staff Engineer to enhance the stability and performance of our real-time voice AI backend systems.
Join Cursor as a Staff Data Scientist to build data infrastructure and insights for the rapidly growing GTM Analytics team.
Lead the technical strategy for data engineering and warehousing solutions as a trusted advisor to customers.
Join Fivetran as a Senior Solutions Architect to lead enterprise data pipeline implementations with dbt Cloud for major clients.
Join Fundamental as a Data Scientist to drive the deployment of AI solutions and collaborate with clients on complex technical challenges.
Join HappyRobot as a Data Operations Engineer to synchronize product engineering, deployments, and operations in a high-growth AI startup.