Catalog Automation Specialist

CarParts.comTorrance, CA
10d$100,000 - $110,000Hybrid

About The Position

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.

Requirements

  • 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.

Nice To Haves

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

Responsibilities

  • 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).
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