Data & 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!

A Day in the Life

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 generate external- and internal-facing dashboards to drive value from the millions of data points we gather on customer operations.  

Daily responsibilities include everything from meeting with customers to understand their business problems to implementing novel dbt modeling techniques (we’re very excited about Fusion).  We’re an AI forward company and team, and are excited to introduce AI systems and solutions wherever possible. 

Every day here is different (you might even find yourself writing an article for our industry data blog!) What is guaranteed is working alongside a passionate, curious, and friendly team to empower a technologically underserved industry with a best in class data stack.

A typical day for this role at Rinsed includes:

• Modeling point-of-sale data into meaningful fact tables using dbt and Snowflake
• Building data products that directly impact customers’ business performance and industry understanding
• Integrating new POS into our data ecosystem
• Sourcing and piping in third party data into our existing warehouse
• Empowering cross functional teams with insights and tooling
• Proactively identifying and driving projects that improve the customer experience and add value for the company

About You

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 enjoy a fast-growing environment. You’re naturally curious and you have a desire to keep up with advancements in the data industry.

You bring the following experience and expertise:

• Proficiency in writing performant SQL
• Strong familiarity with data warehouses (Snowflake, BigQuery, Redshift) and business intelligence tools (Metabase, Tableau, Lookr, 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+ years of experience in a Data related role, having startup experience, and evidence of concrete ownership and delivery of impactful work is preferred
• Familiarity with AI coding assistants and experience incorporating LLMs into data pipelines, analytics workflows, or development processes is a plus

Rinsed’s Investment in Data

Rinsed has been heavily invested in data since day one.  Understanding lifetime value, churn, acquisition cost,  and optimal pricing are huge untapped opportunities in this industry. We are a data-driven organization, and our data team provides much-anticipated  benchmarking data to the entire industry every quarter.  The unique value of our data drives continuous investment into the Data team and our team members’ career growth.

You'll join a team that loves diving into new topics together over lunch-and-learns and getting competitive at game nights (Catan can get intense).

Our Investment in You

• By joining as one of our early team members, there is enormous opportunity ahead for you to have an outsized impact and shape the future of Rinsed in this role.
• Competitive salary and benefits including unlimited PTO, health / dental / vision insurance and more.
• An incredible team with a great blend of hustle, productivity, and fun

The estimated annual cash salary for this role is $140,000 - $170,000. This position is also eligible for incentive stock options, subject to the terms of applicable Rinsed plans. Rinsed provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as we factor in specific location when benchmarking compensation for most roles, (b) individual candidate skills and qualifications, and (c) individual candidate experience. We leverage current market data to determine compensation, and reserve the right to modify this information at any time, subject to applicable law. 

A note on leveling: This role is posted as a Data & Analytics Engineer position. For candidates with more senior-level experience and skills, we're open to hiring at a Senior Data & Analytics Engineer level. The salary range has been set to accommodate both levels, and we'll evaluate the appropriate level and compensation based on your experience during the interview process.

The base pay range for this role is $140,000-$170,000 per year.

Rinsed embraces diversity and is proud to be an equal opportunity employer. As part of our commitment to diversifying our workforce, we do not discriminate on the basis of age, race, sex, gender, gender identity, color, religion, national origin, sexual orientation, marital status, citizenship, veteran status, or disability status. 

We are also committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact the People team.