Senior Data Engineer
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Job Description
Senior Data Engineer building scalable Snowflake pipelines and data services for Team Velocity’s automotive marketing technology platform. Enabling analytics, machine learning, business intelligence, and customer-facing products with trusted data.
Responsibilities:
- Design, build, and maintain scalable data pipelines and ELT/ETL workflows
- Develop and optimize data models and enterprise data structures for 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 batch and near real-time data integration requirements
- Develop APIs and data services for 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 data platform improvements
- 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
- Extensive experience 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
- Candidate must reside within the Continental U.S.; Eastern or Central time zones highly preferred
- Ability to support 8:30AM–5:30PM EST hours
- Preferred: automotive industry data experience
- Preferred: experience with dbt and modern analytics engineering workflows
- Preferred: streaming technologies and event-driven architectures
- Preferred: experience supporting Business Intelligence, Data Science, and AI initiatives
- Preferred: familiarity with machine learning data pipelines and feature engineering concepts
- Preferred: experience working in a remote-first environment
- No relocation assistance provided
Benefits:
- Medical insurance
- Dental insurance
- Vision insurance
- Unlimited paid leave
- 401(k) matching
- Wellness benefits
- Company benefit offerings
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