Senior Data Engineer

Team Velocity is a full-service marketing agency serving the automotive industry, providing integrated marketing solutions to OEMs and dealerships nationwide. They are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers analytics, business intelligence, machine learning, and customer-facing products across the organization.

Responsibilities:

• Design, build, and maintain scalable data pipelines and ELT/ETL workflows
• Develop and optimize data models and enterprise data structures that support reporting, analytics, machine learning, and operational applications
• Leverage Snowflake and modern cloud data platforms to ingest, transform, and optimize large datasets
• Partner with Business Intelligence and Data Science teams to deliver trusted, production-ready datasets
• Design and implement data quality, validation, and monitoring processes
• Support both batch and near real-time data integration requirements
• Develop APIs and data services that enable internal and customer-facing applications
• Optimize data pipeline performance, scalability, and cost efficiency
• Document data architectures, pipeline processes, and engineering standards
• Evaluate emerging technologies and recommend improvements to the organization's data platform
• Mentor team members and help establish engineering best practices

Requirements:

• 7+ years of experience in Data Engineering, Software Engineering, or a related field
• Strong SQL skills and extensive experience working with modern cloud data platforms, preferably Snowflake
• Strong proficiency with Python and data engineering development practices
• Experience designing and maintaining large-scale ELT/ETL pipelines
• Strong understanding of data modeling, data warehousing, and distributed data architectures
• Experience integrating structured and semi-structured data from multiple internal and external sources
• Familiarity with data orchestration and transformation frameworks
• Strong troubleshooting and performance optimization skills
• Excellent communication and stakeholder management skills
• Ability to work independently while managing multiple initiatives
• Automotive industry data experience, including vehicle, dealership, CRM, inventory, consumer, telematics, finance, aftermarket, or mobility datasets
• Experience with dbt and modern analytics engineering workflows
• Experience with streaming technologies and event-driven architectures
• Experience supporting Business Intelligence, Data Science, and AI initiatives
• Familiarity with machine learning data pipelines and feature engineering concepts
• Experience working in a remote-first environment