Data Engineer

Analytic Labs builds Eclipse, an AI-powered data analytics platform that enables non-technical users to query, visualize, and act on their data using natural language. No SQL required. We work with customers who have messy, disparate data sources and help them unlock insights through clean, well-modeled data and AI-driven interfaces.

Role

We’re looking for a Data Engineer to own the data layer of our platform. You’ll transform chaotic source systems into clean, queryable data models, working closely with product managers and engineers to understand customer data challenges and build scalable solutions. You’ll also help us explore how AI can streamline our data operations and improve the experience for end users.

What You’ll Do

• Customer Onboarding : Build and configure data pipelines for new customers, connecting source systems and transforming raw data into dimensional models ready for analytics
• Data Support : Triage and resolve data-related issues, debugging pipeline problems, adjusting models, and ensuring data quality across our customer base
• Data Modeling : Design and maintain star schemas and analytical data structures in Snowflake, balancing performance with flexibility
• Integrations : Build and manage API connections, ELT / ETL workflows, and data sync processes across diverse source systems
• AI & Process Improvement : Collaborate with the team to identify opportunities where AI tools can automate data mapping, schema inference, pipeline generation, and other manual processes

Requirements

Nice to Have

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Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Information Services

California, United States CA$65,000.00-CA$80,000.00 4 months ago

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