Full Stack Data Engineer

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🔥 0 minutes ago

🎸 Tennessee – Remote

🎸 Tennessee – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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MOJO Family of Brands

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🚘 Automotive

👥 B2C

Automotive • B2C

MOJO Family of Brands is a car-wash operator and consumer-facing service brand (part of Mammoth Holdings, LLC) that offers one-time washes, monthly membership plans, fleet services, and online purchasing. Their sites use car-wash technologies and treatments (reverse osmosis water systems, low-side washers, mitter curtains, quiet dryer packages, etc. ) and they market promotions, memberships, and location-based services to individual customers and fleets.

📋 Description

• Design, build, and maintain ELT pipelines ingesting, cleaning, and transforming data into Snowflake • Maintain ingestion from car wash operating platforms including DRB and comparable POS and site controller systems • Develop tested and documented dbt models and performant SQL transformations • Standardize car wash domain metrics across brands and sites • Own pipeline scheduling, dependencies, monitoring, failure handling, and data freshness • Build integrations between source applications, APIs, Snowflake, and downstream consumers across AWS • Support data integration for acquisitions and new site openings • Analyze operational data to answer business questions and surface trends and anomalies • Investigate membership conversion, promotion, volume, and retention questions • Build and maintain Power BI dashboards and semantic models with DAX • Use AI and LLM tooling, including MCP servers, to automate data tasks and prototype intelligent data services • Write documented, version-controlled code; participate in code reviews; and uphold data quality, testing, and monitoring standards • Partner with senior engineers, analysts, Operations, Finance, and other business stakeholders to scope problems, present findings, and iterate on solutions

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field, or equivalent practical experience • Approximately three years of professional experience in data engineering, analytics engineering, or a comparable technical role • Expert SQL and strong knowledge of relational design, indexing, clustering, and query performance • Hands-on Snowflake experience or comparable cloud data warehouse experience with willingness to learn Snowflake deeply • Experience building and maintaining tested and documented dbt models • Working experience with AWS data services including S3, Lambda, Glue, and IAM • Experience integrating applications, APIs, and data stores into orchestrated pipelines • Proven rigorous data analysis and communication of findings • Hands-on Power BI experience with data models, DAX, and dashboard design • Working knowledge of LLM APIs, AI-assisted workflows, and MCP servers or similar integration patterns • Familiarity with Git and collaborative development workflows • Ability to communicate technical results to non-technical audiences • Preferred: experience with car wash operating platforms such as DRB, Sonny’s, or Washify • Preferred: experience with POS and membership data in multi-site environments • Preferred: background in car wash, convenience retail, quick-service restaurant, fitness, or comparable multi-unit businesses • Preferred: acquisition, conversion, or new-site data integration experience • Preferred: Airflow, Dagster, or dbt Cloud jobs • Preferred: Python, Docker, Terraform, MCP servers, agents, AI APIs, dimensional modeling, and Snowflake administration or optimization