Full Stack Data Engineer

This is a fully remote position, open to applicants in Tennessee.

📋 Description

• Design, construct, and sustain ELT pipelines for ingesting, cleaning, and transforming data within Snowflake.

• Oversee data ingestion from car wash operational platforms, including DRB and similar POS and site controller systems.

• Create tested and documented dbt models along with efficient SQL transformations.

• Standardize metrics related to the car wash domain across various brands and locations.

• Manage pipeline scheduling, dependencies, monitoring, failure handling, and ensure data freshness.

• Develop integrations between source applications, APIs, Snowflake, and downstream consumers utilizing AWS.

• Facilitate data integration for acquisitions and the opening of new sites.

• Analyze operational data to address business inquiries and identify trends and anomalies.

• Explore topics related to membership conversion, promotions, volume, and retention.

• Create and sustain Power BI dashboards and semantic models using DAX.

• Leverage AI and LLM tools, including MCP servers, to automate data tasks and prototype intelligent data services.

• Write documented, version-controlled code; engage in code reviews; and maintain standards for data quality, testing, and monitoring.

• Collaborate with senior engineers, analysts, Operations, Finance, and other stakeholders to define problems, share findings, and refine solutions.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field, or equivalent hands-on experience.

• Approximately three years of professional experience in data engineering, analytics engineering, or a similar technical position.

• Proficient in SQL with a strong understanding of relational design, indexing, clustering, and query performance.

• Practical experience with Snowflake or a comparable cloud data warehouse, with a strong desire to deepen knowledge of Snowflake.

• Experience in building and maintaining tested and documented dbt models.

• Working knowledge of AWS data services, including S3, Lambda, Glue, and IAM.

• Experience in integrating applications, APIs, and data repositories into orchestrated pipelines.

• Demonstrated ability in rigorous data analysis and effectively communicating findings.

• Hands-on experience with Power BI, including data models, DAX, and dashboard design.

• Familiarity with LLM APIs, AI-assisted workflows, and MCP servers or similar integration patterns.

• Knowledge of Git and collaborative development practices.

• Capability to present technical results to non-technical audiences.

• Preferred: experience with car wash operational platforms such as DRB, Sonny’s, or Washify.

• Preferred: experience with POS and membership data in multi-site settings.

• Preferred: background in car wash, convenience retail, quick-service restaurants, fitness, or similar multi-unit businesses.

• Preferred: experience in acquisition, conversion, or data integration for new sites.

• Preferred: familiarity with Airflow, Dagster, or dbt Cloud jobs.

• Preferred: knowledge of Python, Docker, Terraform, MCP servers, agents, AI APIs, dimensional modeling, and Snowflake administration or optimization.

🏝️ Benefits

• Comprehensive health, dental, and vision insurance options.

• Flexible work hours and remote working opportunities.

• Professional development and training programs.

• Collaborative and innovative company culture.

• Competitive salary and performance-based bonuses.