Advance Auto Parts · 2 hours ago
Sr. Data Engineer
Raleigh, NC
Full-time
Hybrid
Senior Level
7+ years expAdvance Auto Parts is seeking a Senior Data Engineer with strong hands-on experience in building scalable data pipelines and cloud-native data solutions. The role involves designing and building data workflows, integrating with enterprise platforms, and supporting the end-to-end data lifecycle needs across the organization.
AutomotiveRetail
Responsibilities
Design and build scalable batch and streaming pipelines for ingestion, transformation, and consumption
Develop and optimize ETL/ELT workflows using modern orchestration or transformation tools
Build microservices and data services using Python or Java Spring Boot, leveraging event-driven architecture such as Kafka
Apply strong SQL skills to develop analytical datasets, transformations, and modeling patterns
Build reusable, modular engineering components that support long-term maintainability
Design and build cloud-native solutions using any major cloud platform (AWS, Azure, GCP) and be comfortable adopting new cloud services as organizational needs evolve
Work with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift, Synapse) for modeling, performance tuning, and data operations
Implement scalable, secure, and observable cloud data workflows using a cloud-neutral architectural mindset
Develop and maintain CI/CD pipelines across cloud environments using Git-based workflows
Learn and support enterprise data systems and integration platforms used across the organization
Serve as the primary onsite engineering resource, partnering closely with Product, Business, and Data teams
Support integration, workflow implementations, troubleshooting, and platform enhancements across multiple systems
Implement strong observability across pipelines and services, including logging, metrics, dashboards, tracing, and alerting
Build robust data quality checks, validation rules, error handling, and resiliency patterns
Ensure data pipelines and microservices meet reliability, recoverability, and performance standards
Work directly with product and business teams to gather requirements, build prototypes, and deliver production-grade solutions
Provide accurate LOEs and contribute to architectural decisions
Communicate effectively with global and cross-functional teams
Drive engineering standards, documentation quality, and reusable frameworks across the team
Prototype solutions using AI/LLM tooling, automation frameworks, and next-generation data technologies
Stay current with modern data engineering and cloud-native patterns
Bring forward-looking ideas that align with the future direction of the data platform ecosystem
Qualification
Required
7+ years of hands-on experience in data engineering
Strong experience with Python and/or Java Spring Boot
Deep experience with Kafka or similar streaming platforms
Strong SQL expertise and experience with at least one cloud data warehouse (Snowflake preferred)
Hands-on experience with at least one major cloud (AWS, Azure, or GCP) with a willingness to learn additional clouds as needed
Experience building microservices, APIs, and cloud-native data workflows
Proficiency with Git, CI/CD, and modern DevOps practices
Strong technical curiosity and proven ability to learn new platforms, tools, and architecture quickly
Excellent communication, problem-solving, and cross-functional collaboration skills
A self-driven mindset with strong ownership and accountability
Company
Advance Auto Parts
Advance Auto Parts is the largest automotive aftermarket parts provider in North America, serves both the professional installer.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$1.95B2025-07-28Post Ipo Debt· $1.95B
2001-11-29IPO
Leadership Team
Shane O'Kelly
President and Chief Executive Officer
Ryan Grimsland
Executive Vice President & Chief Financial Officer
Recent News
2026-01-24
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Company data provided by crunchbase