Staff Data Engineer at Mudflap

Palo Alto, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TruckingIndustries

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
Proven expertise in data ingestion frameworks (batch and streaming)
Deep experience with cloud-native data platforms (Snowflake, BigQuery, Databricks, or Redshift)
Strong command of SQL and Python, with ability to design performant, reusable components
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)
Ability to set long-term technical vision while driving execution on near-term deliverables
Excellent communication and leadership skills, with a track record of mentoring engineers and influencing cross-functional stakeholders

Responsibilities

Architect and scale ingestion frameworks to bring diverse data sources (internal systems, third-party APIs, streaming events) into our platform in a reliable, high-throughput way
Define and enforce data schemas to ensure data integrity, discoverability, and interoperability across teams
Own data governance strategy, including data quality, metadata management, lineage, and compliance with security and privacy requirements
Design and optimize system-wide data architecture to support analytics, ML, and operational use cases at scale
Establish best practices for data modeling, schema evolution, and data lifecycle management
Partner with product, engineering, analytics, and compliance teams to align data architecture with business and regulatory needs
Mentor other engineers, leading by example in code quality, architecture reviews, and technical design discussions
Drive adoption of modern tooling for orchestration, lineage tracking, and cataloging to improve platform robustness and usability
Own high-impact, cross-functional initiatives that shape the future of Mudflap’s data platform

Skills

Data Ingestion

Data Architecture

Schema Design

Data Governance

Metadata Management

Data Lineage

Data Quality

Data Modeling

Streaming Events

APIs

Cloud Platforms

Mudflap

Mobile app for fuel savings and discounts

About Mudflap

Mudflap offers a mobile app and fleet card that help independent truck drivers and small fleet owners save money on fuel. The app allows users to access discounts at truck stops without a credit check and includes features like live support and receipt management. Unlike competitors, Mudflap partners directly with truck stops to provide savings, earning a commission only when users save money. The company's goal is to reduce fuel costs for its clients, making their operations more affordable.

Palo Alto, CaliforniaHeadquarters

2016Year Founded

$48.6MTotal Funding

SERIES_BCompany Stage

Automotive & TransportationIndustries

51-200Employees

Benefits

A flexible, remote-first company

Competitive salary and benefit options

Risks

AtoB's advanced features may attract Mudflap's customer base.

AtoB's partnerships could limit Mudflap's ability to negotiate favorable terms.

Increased competition from AtoB's no-fee fleet cards may impact Mudflap's market share.

Differentiation

Mudflap offers a free app with no credit check for fuel savings.

The company partners with truck stops to provide discounts to independent truckers.

Mudflap's business model aligns its profits with customer savings on fuel.

Upsides

Integration of telematics can enhance Mudflap's app with fuel purchasing insights.

Collaborating with telematics providers could offer advanced data analytics and fraud prevention.

Expanding partnerships with gas station chains could increase savings opportunities for users.

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