Mudflap serves the $800B trucking industry, the backbone of the U.S. economy. Our market-leading payment products help truckers save thousands of dollars on fuel (their #1 business expense), while providing our fuel stop partners with access to new, hard-to-reach customers. We’re a fast-growing marketplace business looking for a new customer-obsessed teammate to join us on this exciting journey.
As a Senior Data Engineer at Mudflap, you’ll play a critical role in strengthening our modern, cloud-based data platform and driving our company’s evolution into a truly data-driven organization. You'll work with cutting-edge tools to scale our Data Warehouse and power smarter, faster decisions across the business.
At Mudflap, engineers aren't just behind the scenes — they lead major, company-wide initiatives that directly impact our products and customers. This is a unique opportunity to move fast, build at scale, and help create a platform that hundreds of thousands of SMB trucking companies rely on — and love — to run their businesses every day.
This can be a fully remote position. While we operate across multiple time zones, most collaboration happens during Pacific Time working hours. Candidates should be able to work a schedule aligned with the PT time zone.
Expectations (In this role, you will):
- Assist in the development, testing, and deployment of data pipelines using SQL and/or Python
- Contribute to and maintain documentation of data flows and schema design
- Collaborate with senior developers across the organization to troubleshoot issues and optimize performance
- Collaborate with business stakeholders to understand needs and collect feedback on solutions
- Participate in code reviews to uphold high-quality standards
- Provide support to end users in building reporting and analytics
- Assist with the estimation of development tasks
- Take ownership of your projects from beginning to end
- Exhibit enthusiasm about sharing and adopting best practices with your team
- Be flexible--you understand the needs of a startup
- Be detail-oriented, a fast learner, and scrappy
Experience (What we look for):
- 3-7 years of Data Engineering experience with a focus on large data sets
- Experience with at least one cloud data platform (Snowflake, Redshift, BigQuery)
- Advanced SQL knowledge and python experience is a plus
- Knowledge of Data Warehouse methodologies and modeling
- Experience with source control tools such as Git
Perks and Benefits (What we offer):
- Competitive salary and equity in a high-growth startup
- Multiple health benefit options
- Responsible Time Off
- 401(k) matching
- Opportunities and support for major career growth
- Annual Company offsite event (Mudfest!)
The base salary range for this role is $175,000 - $215,000. This information reflects a base salary range for this position based on current market data, which may be subject to change as new market data becomes available. The candidate's skills, experience, and other relevant factors will determine the exact compensation.
Company Overview (Who we are):
Mudflap is on a mission to transform the trucking and logistics industry by leveling the playing field for owner operators and small fleets. Backed by top-tier venture investors, including QED, Matrix Partners, Commerce Ventures, NFX, and 500 Startups and included in the Forbes Fintech 50 list, Mudflap offers fleet fuel management solutions. Our core team hails from Disney, Uber, Procore, DoorDash, Google, Meta, Capital One, Affirm and Brex.
Here are the core values that we believe in and look for in new teammates:
- Be Customer Obsessed: We deeply understand customer needs and put our customers at the center of everything we do
- Make it Count: Act like an owner by focusing on the impact of your work
- Find a Way: Be a creative problem solver who pushes past roadblocks to win for our customers and our teammates
- Sweat the Details: We keep our standards high and achieve them by paying attention to every detail
- Be Curious: Use a growth mindset to question assumptions, take calculated risks and stretch the boundaries of what’s possible