Senior Analytics Engineer - Remote

Overview

Dremio is the unified lakehouse platform for self-service analytics and AI, serving hundreds of global enterprises, including Maersk, Amazon, Regeneron, NetApp, and S&P Global. Customers rely on Dremio for cloud, hybrid, and on-prem lakehouses to power their data mesh, data warehouse migration, data virtualization, and unified data access use cases. Based on open source technologies, including Apache Iceberg and Apache Arrow, Dremio provides an open lakehouse architecture enabling the fastest time to insight and platform flexibility at a fraction of the cost.

In Short

• Engage with stakeholders to understand data needs.
• Collaborate to deploy tracking/analytics tools.
• Create and maintain data pipelines for the Data Lake.
• Build pipelines for telemetry data for anomaly detection.
• Integrate with tools like GitHub and Slack.
• Support pipeline development for analytics requests.
• Document and communicate dashboarding dimensions.
• Innovate to empower decision makers and mature the Lakehouse.
• Create dashboards on product telemetry and user activity.
• QA dashboards and reports for accuracy.

Requirements

• Bachelors or Masters in Data Science, Computer Science, Math or equivalent.
• 5+ years of experience as an Analytics Engineer or similar role.
• Expert in designing data pipelines using Python.
• Highly skilled SQL expert.
• Familiarity with Iceberg or similar datalake formats.
• Experience with Tableau or equivalent for reporting.
• Experience with AWS, GCP, or Azure.
• Experience with FiveTran, Stitch or equivalent.
• Familiarity with product analytics solutions.
• Excellent project management skills.

Benefits

• Work in a fast-moving startup environment.
• Be part of a fun and accomplished team.
• Opportunities for innovation and growth.
• Diversity and inclusion in the workplace.
• Support for individuals with disabilities.