Data and Analytics Engineer

At Rinsed, we are building software to run the $15bn Car Wash industry.

We're a B2B SaaS company, providing car washes with all the tools they need to transition to a subscription model. Modern car washes are fully-automated tunnels that can wash over 200 cars/hr, and they are moving from selling single washes to all-you-can-wash subscriptions. We are giving this $15bn underserved market the tools to manage and grow their subscription revenue.

We are a small team, who just raised our Series B from VMG Technology in addition to our Series A from Founder's Fund and Bedrock Capital. We are currently installed at over 3,000 car washes nationally helping to manage more than 8 million car wash memberships. What we've built so far is just the beginning. Get to be part of the founding DNA of building a great product, a great culture, and a great company!

We are seeking an analytical and intellectually curious candidate who is excited to work at a fast-growing startup.

As a Data & Analytics Engineer, you’ll design the architecture, storage, and transformation capabilities of the data pipelines that power our product. You’ll also generate external- and internal-facing dashboards that enable our customers to drive value using the millions of data points we gather on their operations.

A typical day for this role at Rinsed includes:

• Understanding, modeling, and transforming point-of-sale data into meaningful fact tables using dbt and Snowflake
• Identifying gaps in the Rinsed data product and building reports/dashboards that allow our customers to best understand their business
• Building data pipelines for third party data to be consumed in our data ecosystem
• Working cross-functionally to provide data to Rinsed teams looking to track and optimize their decisions
• Creating the tools and models to measure and define internal product goals
• Writing scripts to automate and simplify internal data processes
• Communicating data-based suggestions, findings, and feedback to customers and Rinsed senior leaders alike

You are an “end-to-end” data engineer who believes in owning the whole stack from data cleaning to dashboard to stakeholder communication. You have an entrepreneurial spirit and are adaptable to a fast-growing environment with a high tolerance for ambiguity. You’re naturally curious and you have a desire to keep up with advancements in data.

You bring the following experience and expertise:

• Proficiency in writing performant SQL to generate business insights and drive better organizational decision making
• Strong familiarity with data warehouses (Snowflake, BigQuery, Redshift) and business intelligence tools (Metabase, Tableau, Looker, etc.)
• Clear and direct communication skills about complex technical topics
• A track record of working autonomously, with strong organizational and time management skills
• Comfort with a high degree of autonomy and ownership, independently making good decisions for our customers and the business
• Exposure to dbt or similar data transformation tools preferred
• 2 - 3 years experience in a data analytics, data science, or data engineering role preferred
• Python experience a plus, but not required