Data Engineer: Scalable Pipelines & AI on GCP

Mercari

Palo Alto (CA)

Hybrid

USD 146,000 - 219,000

Full time

14 days+
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Benefits offered by this job

Teamwork culture
Flexible time off
Growth opportunities
Wellbeing benefits
Total rewards package

Job summary

Mercari in the San Francisco Bay Area is seeking a Software Engineer, Data to build and scale our data infrastructure across the marketplace. You will design data pipelines, collaborate with cross-functional teams, and apply governance and security best practices to ensure reliable data-driven decision making.

Ideal candidates have 4+ years in data engineering, strong GCP experience, and proficiency in Python or SQL.

Qualifications

  • Bachelor's degree in CS/DS/Engineering or equivalent experience.
  • 4+ years experience in data engineering.
  • Experience with GCP data services (BigQuery, Dataform, Dataflow, Pub/Sub).
  • Experience setting up CI/CD pipelines for data processing.
  • Strong data modeling and ETL knowledge.
  • Proficiency in Python, SQL or TypeScript.
  • Strong ability to solve business problems with data.

Responsibilities

  • Design, build, and maintain scalable data pipelines on GCP.
  • Optimize data processing for performance and cost.
  • Write data quality tests to ensure reliability.
  • Collaborate with data teams on complex data models.
  • Mentor junior engineers and review code.
  • Contribute to technical docs and architecture decisions.

Skills

Data engineering
Python
SQL
Data modeling
ETL processes
Data quality testing

Education

Bachelor's degree in Computer Science, Data Science, or Engineering

Tools

BigQuery
Dataflow
Dataform
Pub/Sub
Airflow

Job description

Mercari in the San Francisco Bay Area is seeking a Software Engineer, Data to build and scale our data infrastructure across the marketplace. You will design data pipelines, collaborate with cross-functional teams, and apply governance and security best practices to ensure reliable data-driven decision making.

Ideal candidates have 4+ years in data engineering, strong GCP experience, and proficiency in Python or SQL.

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