Senior Data Engineer

Team Velocity Marketing; Virginia (MN); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

Unlimited paid leave

401(k) matching

Wellness programs

Job summary

Team Velocity Marketing is seeking a Senior Data Engineer to design and scale the data platform for analytics and machine learning. This role focuses on building reliable data pipelines and modern architectures, partnering with teams to support data-driven initiatives.

The ideal candidate will have over 7 years of experience, deep expertise in cloud platforms like Snowflake, and strong SQL and Python skills. The position offers local and remote options for candidates residing within the Eastern or Central Time Zones.

Qualifications

• 7+ years of experience in Data Engineering or Software Engineering.
• Strong SQL skills and experience with cloud data platforms, preferably Snowflake.
• Experience designing and maintaining large-scale ELT/ETL pipelines.

Responsibilities

• Design, build, and maintain scalable data pipelines and ELT/ETL workflows.
• Develop and optimize data models and enterprise data structures.
• Partner with teams to deliver production-ready datasets.

Skills

SQL

Python

Data engineering development practices

Troubleshooting and performance optimization

Stakeholder management

Tools

Snowflake

Data orchestration frameworks

ETL pipelines

Job description

We 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 our organization. This role will focus on building reliable, high-performance data pipelines and modern data architectures that enable trusted, accessible, and actionable data.

The ideal candidate combines strong software engineering skills with deep expertise in cloud data platforms and distributed data processing. This individual will partner with Product, Engineering, Business Intelligence, Data Science, and business stakeholders to deliver scalable data solutions that support operational, analytical, and AI-driven initiatives.

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.

Qualifications

• 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.

Preferred Qualifications

• 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.

Location

Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No relocation assistance provided.

Compensation

Compensation commensurate on experience. Participation in company benefit offerings include medical, dental, vision, unlimited paid leave, 401(k) matching, wellness, and more.