Junior Analytics Engineer
About SewerAI Corporation
SewerAI is transforming underground infrastructure management through AI-powered inspection and risk analysis. Our platform helps contractors, engineering firms, and utilities unlock valuable insights from sewer inspection data—turning hours of manual video review into actionable intelligence in minutes. After doubling our customer base over the past year, we’re now entering an exciting phase of accelerated growth.
ABOUT THE ROLE
We're hiring our second member of the Data team. You'll join a high-impact, fast-moving data function as a Junior Analytics Engineer, working directly under and mentored by our Senior Data Engineer. Our data team supports the entire company — Sales, RevOps, Finance, Customer Success, Marketing, and Product all depend on the warehouse, models, and dashboards we build.
This is an ideal role for someone early in their analytics-engineering career who wants to grow quickly. You'll start by owning well-scoped, high-volume work — data models, dashboards, and analytical requests — and take on increasing complexity over time as you ramp. You'll get broad exposure to a modern data stack and direct mentorship from a senior engineer, with a clear path to grow your skills across modeling, pipelines, and warehouse engineering.
WHAT YOU'LL DO
- Build and maintain data models in our semantic/modeling layer (dbt and a SQL-based semantic model) so the rest of the company can self-serve trustworthy analytics.
- Create, update, and troubleshoot business-facing dashboards and reports for stakeholders across the company.
- Respond to ad-hoc data requests — pulling, validating, and clearly communicating data to non-technical teammates.
- Help maintain ingestion and data-refresh pipelines from third-party sources (CRM, finance, product, and marketing platforms), including routine connection and credential upkeep.
- Investigate and resolve data-quality issues such as missing fields, incorrect values, and failed sched...