"analytics engineering" Jobs
230 open tech roles matching “analytics engineering”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, SQL. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 230 results
Lead the analytics engineering layer at Graphcore, transforming data into actionable insights for decision-making.
Join Magentic as a Data Platform Engineer to build ingestion pipelines and data schemas for AI-driven procurement solutions.
Join hyperexponential as an Associate Delivery Engineer to build and maintain models in Python for the insurance industry.
Join Anthropic as a Staff Software Engineer to build next-generation observability systems for large-scale AI infrastructure.
Join Databricks as an AI Engineer to develop cutting-edge GenAI solutions and serve as a trusted advisor to customers.
Join hyperexponential as a Delivery Engineer to solve complex modeling problems in a hybrid role.
Lead the vision and execution of LLM-powered products at Bluefish AI, shaping the future of AI-driven marketing technologies.
Lead impactful customer technical projects by delivering production-grade systems using the Databricks platform.
Lead impactful customer technical projects by delivering production-grade systems using the Databricks platform.
Serve as a trusted technical ML and AI expert, guiding customers in architecting production-grade applications on the Databricks platform.
Join Databricks as a Solutions Architect to drive adoption of Customer Lake, a Customer Data Platform, and provide technical leadership to clients.
Lead the Review Tooling team to develop systems for safe AI model investigation and enforcement at Anthropic.
Join Algolia as a Senior Sales Engineer to drive technical success and customer adoption in a fast-growing AI Search market.
Join hyperexponential as a Model Developer to own end-to-end model delivery and solve complex problems in a dynamic team.
Lead a team of pre-sales Solutions Architects to drive adoption of Databricks' platform in the Retail and CPG sectors.
Serve as a trusted technical ML and AI expert, guiding customers in architecting production-grade applications on the Databricks platform.