Catalog Automation Specialist

What We Do

is the go-to eCommerce platform for auto care and maintenance. We provide drivers with quality parts at competitive prices and enable them to schedule appointments with trusted mechanics directly through our website. Using world-class design principles and the latest technologies, we deliver a fast, intuitive digital experience backed by our company-owned national distribution network. With over 1,000 employees worldwide, we are scaling rapidly, fueled by our most recent strategic partnership and $35 million investment.

This positions us for the next phase of growth as we continue to empower drivers along their journey.

At , our culture goes beyond our core values of Safety First, Customer Focused, and Commitment to Excellence. We are a performance-driven, data-focused, and fast-paced team where results matter and winning is expected.

• Hungry & Hardworking:
  We set ambitious goals, measure progress with clear metrics, and hold ourselves accountable to deliver results.
• Promote from Within:
  We reward top performers with opportunities for growth and advancement.
• Collaborative & In-Person:
  We believe the best ideas and fastest execution happen face-to-face.
• High Standards:
  We move quickly, pay attention to details, and dig deep—whether it’s analyzing contracts, aggregating complex scenarios, or building clear, data-driven presentations.
• No Passengers:
  We value grit, ownership, and the relentless pursuit of result

The Catalog Automation Specialist is a hands-on, high-autonomy engineer who reports directly to the VP of Data & Catalog. You will co-architect and deliver file and image automation systems that power our catalog ingestion engine (R.I.N.A.) and support cross-functional teams with one-off automation solutions. This role requires production-grade Python skills, a performance-first mindset for very large-scale data processing, and the ability to communicate and coordinate across global teams.

• Rapidly design, implement, and deliver one-off automation tools and scripts to support business teams (reporting, process automation, ETL tasks). (Approx. 45%)
• Build, maintain, and co-architect automation pipelines for R.I.N.A., our primary data/catalog Python based ingestion engine. (Approx. 25%)
• Operate and improve the image pipeline: download, rename, upload, validate, reconcile, and run site-wide 404 checks across millions of images. (Approx. 20%)
• Produce clear documentation, runbooks, and handoffs; coordinate meetings and requirements with internal and external stakeholders. (Approx. 10%)
• Optimize parsing and processing for very large datasets; design for throughput and latency (millions of files processed in hours).

• Minimum 3 years of programming experience.
• Strong Python expertise — production development is required.
• Solid programming fundamentals: data structures, algorithms, testing, debugging, and clean code.
• Programmatic networking and file transfer experience (FTP/SFTP/SMB/APIs) — must be comfortable connecting to remote systems and automating file movement.
• Scale & performance experience — comfortable designing and optimizing systems that parse and process millions of files with attention to batching, parallelism, and timing.
• Basic Excel proficiency — able to produce/manipulate spreadsheets for stakeholders.
• Excellent communication and self-starter attitude — able to collect requirements, run meetings, and deliver with minimal supervision. Willingness to join occasional early/late meetings to coordinate with global teams.
• Hybrid in-office and remote, must be able to come into office as needed.
• Applicants must be authorized to work in the United States without the need for current or future visa sponsorship.

• XML parsing experience (ACES/PIES or similar)
• Databricks / datalake familiarity
• Image/CDN experience (metadata, checksums, basic transforms)
• Git/Git Hub, version tracking software
• Linux, cron , Docker, cloud object storage (S3/Blob)

A reasonable estimate of the salary range for this position based on job experience, education level, global geographic region, etc: $100,000-$110,000

is an equal-opportunity…