Mudflap
Staff Data Engineer, Tech Lead
Palo Alto, CA · Staff+
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About the role
- Mudflap is on a mission to transform the trucking and logistics industry by leveling the playing field for owner operators and small fleets.
- 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:
Responsibilities
- Act as the overall technical leader for the data engineering, owning architecture direction, setting standards, and making the design decisions that unblock the team.
- Lead high-impact, cross-functional initiatives end to end - scoping the problem, sequencing the work, and driving it to delivery. Partner with manager on team and project management processes, from sprint planning to team processes.
- Drive organization-wide technical alignment, representing data in staff engineering leadership forums and partnering with engineering leaders across the company on shared initiatives.
- Design and optimize system-wide data architecture to support analytics, agentic, and operational use cases at scale.
- Partner with product, engineering, analytics, compliance, and business functions (Operations, Finance, Risk, etc.) to align data architecture with business and regulatory needs.
- Mentor other engineers, leading by example in code quality, architecture reviews, technical design discussions, and effective use of AI tooling.
- Drive adoption of modern tooling for orchestration, lineage tracking, and cataloging to improve platform robustness and usability.
- Own data governance strategy, including data quality, metadata management, lineage, and compliance with security and privacy requirements.
- Opportunities and support for major career growth
- 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.
Requirements
- Bachelor's or Master's degree in Computer Science (or related technical field)
- 8+ years of data engineering experience, with at least 3+ years in senior or staff-level roles.
- Hands-on experience with AI-assisted and agentic engineering, with a clear point of view on where agents create leverage in data work and where they don't.
- Proven expertise in data ingestion frameworks (batch and streaming)
- Deep experience with cloud-native data platforms (Snowflake, BigQuery, Databricks, or Redshift).
- Hands-on knowledge of data governance frameworks (quality checks, lineage, cataloging, security, compliance).
- Strong understanding of data warehouse methodologies, dimensional and normalized modeling, and distributed system design.
- Experience with orchestration tools (Airflow, Dagster, Prefect) and metadata/catalog platforms (dbt, DataHub, Amundsen, or similar).
- Excellent communication and leadership skills, with a track record of mentoring engineers and influencing cross-functional stakeholders and senior leaders.
Compensation
- Annual Company offsite event (Mudfest!)
- The base salary range for this role is $243,000 - $285,000.
- 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.
Benefits
- Competitive salary and equity in a high-growth startup
- Multiple health benefit options
- Responsible Time Off
Company info
- Commuter benefits to ease your travel
- Lunches and snacks to keep you fueled
- A collaborative, high-growth environment where you'll work closely with talented teammates across the company
- We deeply understand customer needs and put our customers at the center of everything we do
- Be a creative problem solver who pushes past roadblocks to win for our customers and our teammates
- Company Overview (Who we are):
- Be Customer Obsessed: We deeply understand customer needs and put our customers at the center of everything we do
- Find a Way: Be a creative problem solver who pushes past roadblocks to win for our customers and our teammates
This listing is sourced directly from Mudflap's careers page and normalized into a canonical job model.